JP2015184405A - Map related investigation device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a map related investigation device capable of performing accurate investigation by using only map data, and investigating various investigation items.SOLUTION: The map related investigation device includes a map data storage part for storing map data including the information of the shape of a feature and attribute information related to the feature with a plurality of versions based on the update period of the map data. Investigation items which can be investigated by using the map data are presented to a user. The investigation request of the investigation items selected from among the investigation items is accepted, and as for the selected investigation items, a change in the shape of the feature related to the investigation items or a change in the attribute information is investigated about a plurality of versions of the map data of the map data storage part, and an investigation result related to the investigation items selected on the basis of the investigation result is generated, and the generated investigation result is provided to the user.

Description

  The present invention relates to a map-related survey device capable of surveying items that can be surveyed using map data, such as the age of a building and the age of a resident of a building.

  Attempts have been made to investigate various survey items in relation to maps. For example, Patent Document 1 (Japanese Patent Laid-Open No. 2010-108144) discloses that new construction information is obtained as one example of a survey item related to a map by using new and old map data. . That is, in this patent document 1, “in the digital map data“ Zmap-TOWNII (registered trademark) of a house map published by Zenrin Co., Ltd., ”the building attribute information is unique to one building. Because it has an identification character, it can be considered that a building with an identification character “not in the old house map but in the old house map” was newly constructed or expanded in the meantime. It is disclosed that information on a newly-built building is obtained based on the difference.

  Further, Patent Document 2 (Japanese Patent Laid-Open No. 2003-56277) describes “numerical information on land use created based on past four land use trend surveys conducted about every five years”. Using numerical information (10m mesh land use: Geographical Survey Institute), it is disclosed to provide a soil pollution risk map image with five colors of pollution risk evaluation and the attribute of the pollution risk evaluation. .

  Further, in Patent Document 3 (Japanese Patent Laid-Open No. 2004-5473), position information such as latitude and longitude is added to telephone book data by geocoding processing using existing GIS from past occupational telephone book information. A database for searching land use history information has been built, and the address on the map data and the location of the phone book data are associated with each other by geocoding processing, and it has been used as a chemical factory or gas station in the past. It is disclosed that the address address is a place that may cause soil contamination.

JP 2010-108144 A JP 2003-56277 A JP 2004-5473 A

  However, the survey method for new construction information disclosed in Patent Document 1 has the advantage that the survey can be performed using only map data, but the difference between the two maps of the new house map and the old house map, in particular, the building There is a problem that it is difficult to accurately obtain information on a new building because a difference in unique identification character (ID) is used. In other words, the unique identification character for a building changes when the name of a resident changes, and the resident has changed, and the building is not necessarily newly constructed. It is.

  Patent Document 1 discloses a difference between the latest house map data and the home map data of a plurality of years ago as well as the latest house map data and the home map data of one year ago as the new house map and the old house map. Is also disclosed. However, in the latter case, since the difference between the latest house map data and the house map data of a plurality of years ago is used, it is not known when the change of the unique identification character (ID) occurred during the years. Not only new buildings, but also those that have been built for more than a year have been included.

  Moreover, in the investigation method of patent document 1, since the difference of two maps, a new house map and an old house map, is used, it cannot detect the age of how many years have passed since the building was newly constructed.

  In addition, in the case of the soil contamination risk map image providing system of Patent Document 2, in addition to the map data, precise numerical information for each fixed period is stored, and this precise numerical information is used to have the contamination mesh classification data. It is necessary to generate and store a classification table and a priority table that is arranged in descending order of contamination risk. Therefore, there is a problem that it becomes a time-consuming investigation method, for example, it is necessary to acquire precise numerical information for each fixed period, compared to the case where the investigation is based only on the map data.

  In addition to the map data, the soil pollution risk information investigation support system of Patent Document 3 also uses the existing GIS to record location information such as latitude and longitude in the phone book data by geocoding using existing GIS. It is necessary to build a database to search the added land use history information, and it is necessary to construct a complicated survey method such as mapping the address on the map data and the position of the phone book data by geocoding processing. The survey may be expensive.

  Furthermore, in the above-mentioned Patent Documents 1 to 3, there is a problem that only specific investigation items can be investigated.

  SUMMARY OF THE INVENTION In view of the above problems, an object of the present invention is to provide a map-related survey device that can perform a more accurate survey using only a plurality of versions of map data and can survey various survey items. And

In order to solve the above problems, the invention of claim 1
A map data storage unit that stores map data including feature shape information and attribute information about the feature in a plurality of versions based on the update time of the map data;
Survey item presentation means for presenting selectable survey items,
Receiving means for receiving a survey request for a survey item selected from the survey items;
Regarding the selected survey item received by the receiving unit, the change in the shape of the feature or the change in the attribute information related to the survey item is investigated for the map data of the plurality of versions of the map data storage unit. Survey means for generating a survey result on the selected survey item based on the survey result;
Investigation result output means for outputting the investigation result generated by the investigation means;
A map-related survey device comprising:

  In the map-related survey device according to the present invention, the map data storage unit stores map data including feature shape information and attribute information related to the feature. The map data storage unit stores a plurality of versions based on the update time of the map data as the map data.

  Therefore, according to the present invention, from a version in which a plurality of versions of map data are specified, a change in the shape of a feature and a change in attribute information related to the feature are detected by tracing in order in the past, To detect the presence or absence of a change in the shape of a feature or a change in attribute information about a feature for multiple versions up to a version, or multiple versions from a given version to a given version in the past Thus, various survey items can be investigated.

  Therefore, in the present invention, survey items that can be surveyed are prepared using map data, and the survey items that can be surveyed are presented to the person who requests the survey. Then, the survey item selected from the survey items by the person requesting the survey is received by the receiving means. Then, the investigation means investigates the accepted investigation item. That is, the investigation means investigates the change in the shape of the feature or the change in the attribute information related to the selected investigation item with respect to the map data of a plurality of versions of the map data storage unit, and is selected based on the investigation result. Generate survey results for survey items. Then, the generated survey result is output to the person who requested the survey.

  In the invention of claim 2, when the survey item is the age of the building, the survey means uses the feature to be surveyed as a building, and changes the shape of the survey target building as a map data storage unit. Surveying multiple versions of map data retroactively from the specified version, and the age of the building as the difference between the year of the previous version in which a change in the shape of the surveyed building was detected and the year of the specified version Is detected.

  Further, in the invention of claim 3, when the survey item is the number of years of residence, the survey means uses the feature to be surveyed as a building and changes the attribute information of the survey target building in a plurality of versions of the map data storage unit. Investigate the map data from the specified version by tracing back to the past, and detect the number of years of residence as the difference between the year of the previous version in which the attribute information change of the surveyed building was detected and the year of the specified version .

  Furthermore, in the invention of claim 4, the attribute information about the feature includes the name of the feature as one of the attributes about the feature, and the survey item is a survey when the designated area is soil contamination. The means investigates the name related to soil contamination as the name included in the attribute information of the feature to be investigated for the specified area, the map data storage unit for multiple versions of the map data, and the name included in the attribute information When a name related to soil contamination is detected, the designated area is detected as having soil contamination.

  According to this invention, the map data includes feature shape information and attribute information related to the features, and the map data is divided into a plurality of versions that are traced back to the past from the latest version for each version of each update, map data Since it is stored in the storage unit, it is possible to provide a map-related survey device that enables more accurate surveys using only map data and enables surveys of various survey items.

It is a block diagram which shows the structural example of embodiment of the map related investigation apparatus by this invention. It is a figure for demonstrating the example of the memory content of the house map data storage part used with embodiment of the map related investigation apparatus by this invention. It is a figure for demonstrating the data structure of the house map data used with embodiment of the map related investigation apparatus by this invention. It is a figure which shows the flowchart for demonstrating the outline | summary of the processing operation in embodiment of the map related investigation apparatus by this invention. It is a figure which shows the flowchart for demonstrating the example of the flow of a process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure which shows the flowchart for demonstrating the example of the flow of the building age estimation process in the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure which shows the flowchart of the example of the processing content of the one part step of the flowchart of FIG. It is a figure used for description of the process of the building age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure which shows the flowchart for demonstrating the example of the flow of a process of the residence years investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the process of a residence age investigation as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure which shows the flowchart for demonstrating the example of the flow of the soil contamination investigation process as an example of the investigation item in embodiment of the map related investigation apparatus by this invention. It is a figure used for description of the soil contamination investigation process as an example of the investigation item in embodiment of the map related investigation apparatus by this invention.

  Hereinafter, an embodiment of a map-related survey device according to the present invention will be described with reference to the drawings. FIG. 1 shows a configuration example of an embodiment of a map related survey device according to the present invention. In the configuration example of this embodiment, a map related survey device is composed of a server device and a client device connected through a communication network. The structure of the communication system which becomes.

  That is, the communication system of the example shown in FIG. 1 is configured by connecting a house map server 100 and a personal computer 200 as an example of a client device through a communication network INT. Here, the communication network INT may be a wide area network such as the Internet or a limited network such as a local area network. In this embodiment, the communication network INT is the Internet.

  In FIG. 1, only one personal computer 200 as an example of the client device is described, but this indicates a personal computer that can be connected to the house map server 100 through the communication network INT. It goes without saying that the house map server 100 can be connected to a large number of personal computers through the communication network INT. The client device is not limited to the personal computer 200, and can be connected to the house map server 100 through the communication network INT. The display image data provided from the house map server 100 is acquired and displayed on the display screen by the browser. Any device may be used as long as it has a function capable of displaying, for example, a mobile phone terminal.

  The house map server 100 includes a communication unit 101, an information processing unit 102, and a house map data storage unit 103.

  The communication unit 101 manages communication with the personal computer 200.

  The house map data storage unit 103 stores a plurality of versions, preferably three or more versions, of the house map data retroactively from the latest version for each version of each update. The house map data is stored in a state where the whole is divided into predetermined area units. The predetermined area is, for example, a municipal unit. In this embodiment, the home map data is updated every year, and the latest year version and the past year version of the home map data are held in multiple versions of three years or more. In this embodiment, it is assumed that each year's version of residential map data is held from 2014 to 1984. In addition, not all areas of the residential map data are updated every year, but there are areas that are updated once every multiple years.

  In this embodiment, as shown in FIG. 2, the house map data storage unit 103 includes not only house map data but also building point data, city planning use area data, statistical map data, inheritance tax rent data, The aerial photograph information is also stored. In this embodiment, these data are not directly related to the survey contents of survey items, but are used to narrow down survey areas, surveyed buildings, survey target, etc., and display survey results. However, these data are also stored in a plurality of versions based on the update time as in this embodiment, and the detected change points can be utilized in various scenes by conducting a retrospective survey from the specified version. .

  The building point data is detailed information such as addresses (including latitude and longitude), number of rooms, area, building type (residence, business establishment, commercial facility) of about 38 million buildings nationwide. From this building point data, it is possible to know information on detached houses in the target area, its site area, the total floor area of the building, and the like. Since the building point data includes address, latitude / longitude information, the building point data is associated with the house map data.

  The city planning use area data is data including the floor area ratio of buildings throughout Japan. The statistical map data is data including resident age-specific data. For example, it is possible to search an area where there are many elderly people 65 years or older. In addition, from the inheritance tax route price data, for example, it is possible to search for areas with high land prices in the 23 wards of Tokyo. These data are also associated with the house map data using the position information as an intermediary.

  The aerial photograph information is aerial photograph information corresponding to the house map. By specifying the position (latitude / longitude), the aerial photograph information centered on the designated position (latitude / longitude) is converted into the house map. It can be read from the data storage unit 103.

  These building point data, city planning use area data, and aerial photograph information can be stored in a plurality of versions, similarly to the housing map data. It goes without saying that any data can be stored in multiple versions and the change point can be investigated by going back to the past from the specified version.

  The information processing unit 102 receives a request from the client device, executes a house map related survey in response to the request, and outputs the survey result to the client device. The request receiving unit 111, the survey unit 112, and the survey A result output unit 113 is provided.

  The request reception unit 111 acquires survey request data from the personal computer 200 via the communication unit 101 and gives an instruction to the survey unit 112.

  The investigation unit 112 investigates the house map data stored in the house map data storage unit 103 based on an instruction from the request reception unit 111 and passes the investigation result to the investigation result output unit 113.

  The survey result output unit 113 generates map image data and image data reflecting the survey result based on an instruction from the survey unit 112 and a survey result in the survey unit 112, and passes the generated image data to the communication unit 101. . The communication unit 101 transmits the received image data to the personal computer 200 serving as the client apparatus that has requested the investigation through the communication network INT.

  Note that the information processing unit 102 can have the request receiving unit 111, the survey unit 112, and the survey result output unit 113 configured as a computer that performs processing using a software program.

  The personal computer 200 includes an information processing apparatus main body 201, a display 202, a keyboard 203 and a mouse 204 as operation input units.

  Based on the above configuration, when the personal computer 200 transmits a desired survey request to the residential map server 100 via the communication network INT, the personal computer 200 receives the survey result image data from the residential map server 100 and causes the browser to process the image data. Thus, the image data can be displayed on the display screen of the display 202.

[Data structure of residential map data]
The data structure of the house map data stored in the house map data storage unit 103 will be described. FIG. 3 is an explanatory diagram for explaining the data structure of the house map data.

  As shown in FIG. 3, the house map data includes a shape HS of a feature such as a road or a building, and attribute information ATI related to the feature. Here, the feature is described in a vector type, and is represented by a point, a line, or a plane. The features include not only roads and buildings, but also routes, sites, water areas, vacant lots, bus stops, subway entrances, one-way signs, signals, underground shopping streets, administrative boundaries, and so on.

  In the case of a surface, the feature shape HS is managed as a closed polygon, that is, a polygon. The position information of each vertex is defined for the polygon. When the feature is a building, a building frame (house frame) FL indicating the shape of the building is represented by a polygon. Other polygons when the feature is a surface include administrative polygons (administrative boundaries where administrative names are located), water area polygons (water areas related to lakes, marshes, pools, seas, and rivers), underground malls / subway polygons (underground / Subway area range).

  The attribute information ATI relating to the feature includes data of name, address, type, and ID (Identification: identification information). For buildings such as apartments, condominiums, etc., there is separate information representing information on residents and tenants in the building.

  The name is a name of a feature. For example, in the case of a building, it is a resident's name (individual name), establishment name, facility name, building name, apartment name, and the like. In FIG. 2, what is expressed as “Zenneji Taro” corresponds to the name. The name data is composed of a character code and also has a reference point PO that is information relating to a position when displayed as a character on a map.

  The address is expressed in FIG. 3 as “1-1 1-1 Muromachi, Ogura Kita-ku, Kitakyushu City, Fukuoka Prefecture”. The address data is represented by address codes such as prefectures, municipalities, town large letters, and small letters.

  The type is the type of the feature. The private residence is “personal house”, the corporate building is “business establishment”, the various public facilities and shrines are “target”, buildings, apartments, condominiums, etc. Items that do not belong to any house, business, or target are expressed in “others”. In FIG. 3, it is expressed as “individual house”. The type data is represented by a type code assigned to each type of feature.

  The ID is an identification number of the attribute information ATI. When the content of the attribute information ATI is not changed from the previous year's version of the residential map data, the same number as the previous year version is attached and the name, address, etc. are changed. If there is, there will be a unique number that is different from the previous year and unique.

[Outline of Processing of Residential Map Server 100]
In the residential map server 100 of this embodiment, an outline of a processing flow when a survey request is received from the personal computer 200 that is a client device will be described with reference to a flowchart of FIG.

  That is, the request receiving unit 111 of the information processing unit 102 determines whether or not a survey request from the personal computer 200 has been received through the communication unit 101, and waits to receive a survey request (step S11). When it is determined in step S11 that a survey request from the personal computer 200 has been received, the request receiving unit 111 generates image information of a list of survey items related to the house map, and transmits the image information to the personal computer 200 through the communication unit 101. Then, it is displayed on the display screen of the display 202 (step S12). That is, the personal computer 200 displays the image information from the house map server 100 on the display screen of the display 202 by a built-in browser function.

  The residential map server 100 of this embodiment is supposed to provide “building age”, “year of residence”, “soil contamination”, and “others” as survey items. It is displayed on the display screen of the display 202 of the personal computer 200. The user (user) of the personal computer 200 selects an item he / she wants to request from the list of survey items, and transmits the selection result to the house map server 100 via the communication network INT.

  The request receiving unit 111 of the house map server 100 waits for reception of the selection result of the survey item from the personal computer 200 (step S13), and when determining that the selection result of the survey item has been received, the survey item of the selection result is Then, it is determined whether or not “the building age” (step S14). In step S14, when it is determined that the survey item of the selection result is “building age”, the request receiving unit 111 instructs the survey unit 112 to execute processing including building age estimation processing, The survey is executed, and the survey result is output from the survey result output unit 113 (step S15).

  If it is determined in step S14 that the survey item of the selection result is not “building age”, the request reception unit 111 determines whether the survey item of the selection result is “year of residence in the building” ( Step S16). In step S16, when it is determined that the survey item of the selection result is “the number of years of residence in the building”, the request reception unit 111 instructs the survey unit 112 to execute processing including the residence year estimation process. The survey is executed, and the survey result is output from the survey result output unit 113 (step S17).

  Next, when it is determined in step S16 that the survey item of the selection result is not “the number of years in the building”, the request receiving unit 111 determines whether or not the survey item of the selection result is “soil contamination”. (Step S18). In step S18, when it is determined that the survey item of the selection result is “soil contamination”, the request reception unit 111 instructs the survey unit 112 to execute processing including estimation processing of the soil contamination location, The survey is executed, and the survey result is output from the survey result output unit 113 (step S19).

  Next, when it is determined in step S18 that the survey item of the selection result is not “the number of years of residence in the building”, the information processing unit 102 executes processing for other survey items (step S20). . Thus, the information processing unit 102 ends the process for the investigation request.

[Processing example regarding age of survey item]
Next, the processing example in step S15 executed when the information processing apparatus 102 of the house map server 100 determines that the selected survey item is “age of building” in the flowchart of FIG. 4 will be described. To do. In the present embodiment, “building age” is a value representing a period from when a surveyed building is newly constructed or expanded to the present.

  FIG. 5 is a flowchart showing an example of the flow of a processing example executed when it is determined that the selected survey item is “building age”. Each step in the flowchart of the processing example of FIG. 5 is executed by the investigation unit 112 together with the request reception unit 111 and the investigation result output unit 113.

  First, the request accepting unit 111 accepts designation of an area range to be investigated, such as “Tokyo area”, from the personal computer 200 and instructs the investigation unit 103 to designate the area range to be investigated. The survey unit 112 acquires map image data of the designated survey area range from the house map data storage unit 103 and passes it to the survey result output unit 113. The survey result output unit 113 generates map image information from the house map data, and transmits the map image information to the personal computer 200 through the communication unit 101 (step S31). The personal computer 200 displays a map image based on the received map image information on the display screen of the display 202 by a browser function.

  At this time, on the display screen of the display 202 of the personal computer 200, for example, as shown in FIG. 6, a map centered on the 23 wards of Tokyo is displayed. In this embodiment, the personal computer 200 can be accompanied by designation of elements for narrowing down the survey area along with designation of the area range to be surveyed. In the display column 301, narrowing conditions are displayed.

  In the example of FIG. 6, assuming that the user of the personal computer 200 is designated as element information (squeezing condition) for narrowing down the population of 65 years or older, in the display column 301 on the left side of the display screen of the display 202, The population over 65 years old in each of the 23 wards of Tokyo is displayed. The narrowing-down condition including the display list of the population of 65 years or older is generated by searching for the designated survey area range using the statistical map data stored in the house map data storage unit 103.

  Needless to say, the narrowing-down conditions are not limited to those based on statistical map data, but those based on building point data, city planning use area data, and inheritance tax line price data are also used.

  The user of the personal computer 200 can further narrow down the survey area, the survey target building, and the like from the display screen while referring to the narrowing conditions of the display screen in FIG. In this example, it is assumed that Toshima-ku is selected by clicking with the mouse 204 or the like as a ward having a large population of 65 years or older in the display image of the narrowing-down conditions. Information on the selected narrowing conditions is sent from the personal computer 200 to the house map server 100.

  The request reception unit 111 of the house map server 100 receives information on the narrowing conditions and passes it to the survey unit 112. The survey unit 112 reads out necessary information from the house map data storage unit 103 according to the narrowing-down condition information, and sends it to the survey result output unit 113. The survey result output unit 113 generates image information from the information from the survey unit 112 and transmits the image information to the personal computer 200 through the communication unit 101.

  At this time, in this example, a map of the Toshima-ku area is displayed on the display screen of the display 202 of the personal computer 200 as shown in FIG. 7, for example. In FIG. 7, a map including Ikebukuro Station and Sugamo Station is displayed according to the scale. In FIG. 7, statistical map data is used in the display field 301, and the ratio of general households over 65 years old and general households only for couples including those over 65 years old for each address in Toshima Ward. The ratio is displayed as a further refinement condition.

  The user of the personal computer 200 can further narrow down the survey area while referring to the narrowing conditions on the display screen of FIG. For example, it is assumed that Komagome 1-chome is selected by clicking with the mouse 204 in the display image of the narrowing-down conditions. Then, in the same manner as described above, the information on the narrowing condition selected by the selection operation is sent to the house map server 100, and the image information corresponding to the information on the narrowing condition is sent from the house map server 100. Come. That is, at this time, a map of the area of Komagome 1-chome is displayed on the display screen of the display 202 of the personal computer 200, for example, as shown in FIG.

  In this embodiment, the house map server 100 generates image information in which the building extraction condition is displayed as a narrowing condition in the display field 302 on the left side of the display screen of the display 202 in the display screen of FIG. The user of the personal computer 200 can select and specify the building extraction condition in the display field 302. In FIG. 8, the display column 302 displays an item column for accepting designation of a building classification, a building area, a floor area ratio, and the like.

  Furthermore, the display column 302 can be scrolled upward by operating the slide bar 302S, and the display state of the display column 302 as shown in FIG. In the display field 302 of FIG. 9, an item field for designating the ratio of the number of general households inhabited by those over the age of 65 obtained from statistical map data is displayed in the middle of the vertical direction. In addition, an item column for designating the floor area ratio obtained from the city planning use area data is displayed below the display column 302, and an item can be designated in each item column (step S32). ).

  In FIG. 7 and FIG. 8, in the display field 302, as a narrowing condition, an individual house is specified for the building classification, and “extracting an old building” is specified. Other narrowing conditions do not have a mark in the check column, meaning that they are not specified. Here, “extracting an old building” is to extract a building whose building age is a predetermined age or more, for example, 20 years or more. In addition, it cannot be overemphasized that the user may be able to designate the predetermined age of the building age as an old building in this case.

  After the user specifies the narrowing-down conditions in the display field 302, the user operates the “extract” icon button 303 displayed in the display field 301 to extract “the building whose age is older”. It is possible to instruct the start of the building age estimation process necessary for this.

  The request reception unit 111 monitors the operation information of the user sent from the personal computer 200, “Extract building whose age is old” is checked, and the “Extract” icon button 303 is operated. It is determined whether or not an instruction to start the building age estimation process has been made based on whether or not the building age is estimated (step S33). When it is determined in this step S33 that the building age estimation process is not instructed to start, it is determined based on the user operation information from the personal computer 200 whether or not other instructions have been issued (step S34). If no other instruction is given, the process returns to step S31. If it is determined in step S34 that another instruction has been given, the process proceeds to a processing routine corresponding to the instruction (step S35).

  If it is determined in step S33 that an instruction to start the building age estimation process has been given, the request receiving unit 111 issues an instruction to start the building age estimation process including the information on the designated survey area range and the narrowing-down conditions. And sent to the survey unit 112. In response to the start instruction from the request accepting unit 111, the survey unit 112 performs the building age estimation process using the house map data that matches the specified survey area range and narrowing-down conditions among the house map data ( Step S36). The building age estimation process in the survey unit 112 will be described in detail later.

  The building age in the range that matches the specified survey area range and the narrowing-down conditions obtained by the building age estimation process in the survey unit 112 and information about the building are sent to the survey result output unit 113. The survey unit 112 notifies the survey result output unit 113 which survey item is the survey result.

  The survey result output unit 113 generates image information of the survey result output based on the information received from the survey unit 112, and transmits the image information to the personal computer 200 through the communication unit 101 (step S37). At this time, the survey result output unit 113 extracts the buildings whose building age received from the survey unit 112 is 20 years or more because the survey item is “extract old buildings”. Using the information about the building, a list of buildings having an old age is generated, and image information obtained by combining the list with a map image is transmitted to the personal computer 200.

  In the personal computer 200, the list is displayed in the lower column 304 of the display screen of the display 202 as shown in FIGS. 8 and 9 according to the received image information. In this list, one of the building columns is in the selected state, and the selected building column is shown in FIG. 8 and FIG. Is being selected. The position of the currently selected building column can be changed and designated by the user. On the map, a selection mark 305 is superimposed on the polygon of the building being selected, and the position is notified to the user.

  In this embodiment, when the user double-clicks the mouse, for example, at the position of the selection mark 305 displayed on the map of the display screen of the display 202, a detailed display request for the currently selected building is made. It is configured to be able to. Here, in this embodiment, the detailed display of the building is, for example, an aerial photograph.

  The request reception unit 111 monitors the operation information of the user sent from the personal computer 200, and determines whether or not the detailed display request operation has been performed on the selected building (step S38). When it is determined in this step S38 that a detailed display request operation has been performed for the selected building, the request receiving unit 111 transmits a detailed display instruction for the selected building to the surveying unit 112. Upon receiving the detailed display instruction, the survey unit 112 reads out aerial photograph information in a range centered on the selected building position from the house map data storage unit 103 and passes it to the survey result output unit 113. The survey result output unit 113 generates information on an image in which a map image and an aerial photograph image are arranged as shown in FIG. 10, for example, and transmits the generated image information to the personal computer 200 (step S39).

  In response to this image information, the personal computer 200 displays an aerial photograph image 306 on the display screen of the display 202 in contrast to the map as shown in FIG. At this time, the selection mark 305 is displayed on the map, and the corresponding selection mark 307 is also superimposed on the corresponding building position of the aerial photograph image so that the user can know the correspondence between the buildings. Has been.

  By viewing the aerial photograph image 306, the user can know that, for example, a one-story house is isolated in an area where buildings are lined up. Therefore, if the user is a contractor who undertakes a new construction or expansion / reconstruction work, he / she can conduct business activities for the new construction or expansion / reconstruction for the building.

  Following step S39, the information processing unit 102 determines whether an end instruction has been received from the personal computer 200 (step S340). Even when it is determined in step S38 that the selected detail display request has not been made, the process proceeds to step S40 to determine whether or not an end instruction has been received from the personal computer 200.

  When it is determined in this step S340 that the end instruction has not arrived, the information processing unit 102 returns the processing to step S38, selects another building, and if the detailed display request is made, the other building The aerial photograph image about is displayed.

  If it is determined in step S340 that an end instruction has arrived, the information processing unit 102 ends the above processing routine.

  In the above example, buildings with a building age of 20 years or more were surveyed, and the survey results were displayed. However, each building of all buildings that meet the narrowing conditions within the specified survey area range was displayed. Of course, you can also check the number of years. In that case, the age of the survey result can be displayed in a superimposed manner corresponding to each building in the house map image. Of course, similarly to the above-described example, a list including each item of age may be generated and displayed for the target building in the survey area range.

  In the above description, the survey results are provided to the client device as display image information. However, the present invention is not limited to the display image information. For example, the above-described list of old buildings or the specified survey area range Of course, it is possible to provide the client device with a list of building ages of the company as CSV (comma-separated value) format data.

  The list may be sorted based on age. The sorting is not limited to the building age, and may be performed based on the area of the building frame (polygon), or may be a method of combining both the building age and the building frame area. By doing so, when the user of the personal computer 200 is a salesman of a home remodeling company, the sales efficiency can be further increased.

[Age estimation process in step S36]
11 and 12 are flowcharts for explaining the building age estimation process. FIG. 13 is an explanatory diagram for explaining the building age estimation process. The flowcharts of FIG. 11 and FIG. 12 show the building age estimation process for one designated building. When a predetermined area range is designated as the survey area range, narrowing down in the designated area range is performed. The processing shown in FIGS. 11 and 12 is performed for all the buildings that meet the conditions.

  The age of the building was investigated by tracking the changes in the shape of the building frame FL of the target building by tracing the house map data sequentially from the latest version to the past, and detecting the shape change of the building frame FL of the target building. Calculate (estimate) as the number of years until the edition. Specifically, assuming that the year variable of the version is X, the two versions of the year X version and the version (X-1) are compared to detect the change in the shape of the building frame FL, and the building When there is no change in the shape of the frame FL, the variable X is set to X = X−1 and the same processing is repeated. Then, the building age is calculated as a variable n of the number of repetitions.

  As shown in FIG. 11, first, when receiving a request for age as a survey item from the personal computer 200, the request reception unit 111 sends an instruction to display the latest version of the house map to the survey unit 112. Upon receipt of this latest version of the residential map display instruction, the survey unit 112 sets the year variable X of the version to X = 2014 (latest year) and sets the age of the building as an initialization process for estimating the age of the building. A variable n of the number of repetitions for obtaining is set to n = 1 (step S51). At this time, the 2014 version house map data, which is the latest version read from the house map data storage unit 103 by the survey unit 112, is converted into map image data by the survey result output unit 113, and personalized via the communication unit 101. It is transmitted to the computer 200.

  Next, the survey unit 112 accepts one of the buildings within the survey area specified by the personal computer 200 as the survey target of the building age (step S52). That is, when there are a plurality of survey target buildings within the survey area range, the survey unit 112 sequentially performs the processing routine shown in FIG. 11 for the survey target buildings within the survey area range. In this step S52, one of the buildings to be surveyed whose age is not surveyed in the survey area range is accepted. When a predetermined building is designated as a survey target by the personal computer 200, the survey unit 112 receives the designation of the building to be surveyed through the communication unit 101 and the request reception unit 111.

  Next, the survey unit 112 aligns the X-year version map data to be compared with the (X-1) -year version map data (step S53). This is because housing map data may change the scale of the original map even in the same region depending on the year, and there may be misalignment (error) based on the difference in scale. This is to prevent detection as a change in the shape of the frame FL.

  Next, the survey unit 112 compares the year X version with the year (X-1) version, and investigates whether the shape of the building frame FL has changed (step S54). Here, the presence / absence of a change in the shape of the building frame FL is determined by overlapping the polygons of the building frame FL and using the overlapping rate.

  FIG. 12 shows an example of a procedure for investigating whether or not the shape of the building frame FL has changed in step S54. That is, in this example, in step S54, it is determined whether the shape of the building frame FL is “overlap ratio = 90% or more” between the X year version and the (X-1) year version (step S61). When “overlap ratio = 90% or more”, it is determined that there is no change in the shape of the building frame FL (step S64).

  If it is not “overlap rate = 90% or more” in step S61, the shape of the building frame FL between the X year version and the (X-1) year version is “overlap rate = 80% or more” and “attribute” It is determined whether or not the name of the information ATI is “completely matched” (step S62). If so, it is determined that there is no change (step S64). That is, in this embodiment, even if the duplication rate is less than 90%, if the name of the attribute information ATI is completely coincident and there is no change, it is estimated that no new construction or extension / renovation has been performed. If it is determined in step S62 that “duplication rate = 80% or more” and “name of attribute information ATI is not completely matched”, it is determined that the shape of the building frame FL has changed (step S63).

  After step S54, the survey unit 112 refers to the survey result of step S54 and determines whether or not the shape of the building frame FL has changed (step S55). When it is determined in this step S55 that there is no change in the shape of the building frame FL, the surveying unit 112 decrements the year variable X of the version as X = X-1, and compares the two versions of the year to be compared. A version one year before the year X in which the survey is completed and a version two years ago are made, and the variable n of the number of repetitions is set to n = n + 1 and incremented by 1 (step S56). And the investigation part 112 returns a process to step S53, and repeats the process step after this step S53.

  When it is determined in step S55 that there is a change in the shape of the building frame FL, the surveying unit 112 determines that the surveyed building is newly constructed or increased between the surveyed year X and the year (X-1). It is determined that the building has been rebuilt, and the value of the variable n of the number of repetitions at that time is calculated (estimated) as the building age (step S57). This is the end of the age estimation process for one building.

  With reference to FIG. 13, the above building age estimation process will be further described with a specific example. In the example of FIG. 13, in step S52, in the map data of the 2014 version which is the latest year version, the building whose attribute information ID is ID = 001 and whose name is “Zenne Taro” is designated. It shall be assumed.

  In this case, in step S53, alignment is performed by superimposing the 2014 version of the house map and the 2013 version of the house map. Specifically, by extracting a building that has an ID common to both the 2014 version of the housing map data and the 2013 version of the housing map data, and matching the positions of the buildings Do. In the example of FIG. 13, ID = 102 and ID = 103 are extracted as common IDs, and alignment is performed using the buildings with the ID = 102 and ID = 103. The alignment is performed, for example, by matching the positions of the center of gravity of the polygons of the building frame FL. Thereby, it becomes possible to align two housing maps with high accuracy. In addition, although the building used as the object of superimposition was specified by common ID, you may specify from the positional information on a building.

  Thereafter, in step S54, the survey unit 112 compares the 2014 version and the 2013 version of the house map data, and investigates whether there is a change in the shape of the building frame FL of Mr. Taro Zenne. If there is no change as a result of the investigation of the presence or absence of the shape change of the building frame FL, it is determined that the building is not newly constructed or expanded, and the year variable X of the plate is minus 1 count (ie, X = 2013). After setting the variable n of the number of repetitions to plus 1 count (ie, n = 2), this time, the housing map of the 2013 version and the 2012 version is overlaid, and the building frame FL The shape change will be investigated.

  In the example of FIG. 13, as a result of comparing the house map data of the 2014 version and the 2013 version, it was determined that there was a change in the shape of the building frame FL of Mr. Taro Zenne, and there was a new construction or increase between 2013 and 2014 Judge that it was renovated. The value of the variable n of the number of repetitions at that time is n = 1. Therefore, in the case of the example of FIG. 13, the age of the building of Mr. Taro Zennai is “less than one year”. Thus, the building age is represented by the count number of the variable n of the number of repetitions. When n = 2, it is “less than 2 years”, and when n = 3, it is “less than 3 years”.

  As described above, according to the above-described embodiment, the user of the personal computer 200 serving as the client device can determine the age of a building arbitrarily designated on the latest version of the house map or a target building in the designated area range. It is possible to estimate this easily and quickly. For example, if the building is 5 years old, it will be “replacement of tatami mats” or “indoor cleaning”. If it is 10 years old, “warm water toilet seat” or “replacement of indoor cloth (wallpaper)”. “Repair” and “Painting exterior”, “Flooring work” for 20 years, “Kitchen replacement”, “Unit bath replacement”, “Toilet replacement”, “Removing termites under the floor”, “Change floor plan” for 25 years, etc. , You can efficiently conduct business such as new construction, expansion / renovation and renovation according to the age of construction. Further, the providing side of the house map server 100 can easily increase the added value of the existing house map data.

  In the above-described embodiment of the estimation process of the survey item “building age”, the survey target has been described on the assumption that the survey target is a building. The building age estimation process can be applied.

  Further, in the present embodiment, the survey unit 112 performs the building age estimation process based on the house map data of year X. However, the present invention is not limited to this, and various methods are possible. For example, the survey unit 112 may estimate the building age based on the date of survey. Specifically, for example, when the survey time is March 2014 and the survey unit 112 determines that the building was newly constructed or expanded between 2009 and 2010, the building age is calculated as “less than 5 years and 3 months”. You may do it. In this way, an accurate building age can be calculated. Further, in this embodiment, the survey unit 112 calculates the building age in units of the update year of the house map data, but calculates the building age in units of the update date of the house map data or the map survey unit of the house map data. You may do it.

  In the present embodiment, the survey result output unit 113 expresses the building age as “less than n” using the value of the variable n of the number of repetitions in step S56, but the present invention is not limited to this, and various expressions are possible. For example, the survey result output unit 113 may represent the building age using the period of the house map data in the year X whose shape has changed and the house map data in the year X-1. Specifically, for example, if the latest version of the housing map data is the 2014 version, and the surveying unit 112 determines that it was newly constructed or expanded between 2009 and 2010, the building age is “4 to 5 years. May be expressed. In this case, the building age may be expressed as a middle point of “4.5 years”, or may be expressed as an approximate value “less than about 5 years”. In addition, for example, “2009 to 2010” may directly represent the period of new construction or expansion / renovation. Such a display is particularly effective in a district where the residential map data is not updated every year but is updated once every several years.

In this embodiment, in the building age estimation process, the survey unit 110 surveys features such as a shape change in the building. However, the survey unit 110 identifies the features as roads, routes, sites, water areas, vacant land, bus stops, subways. You may investigate the shape change in the entrance / exit, one-way traffic signs, signals, underground shopping streets, and administrative boundaries.
[Processing example of residence years of survey items]
Next, an example of processing in step S <b> 17 will be described that is executed when the information processing apparatus 102 of the house map server 100 determines that the selected survey item is “the number of years in the building”. The “year of residence in a building” is a value representing how long (years) a predetermined resident has lived in the target building in the present embodiment.

  Also in the case of this survey item “year of residence”, step S31 and step S32 of the flowchart shown in FIG. 5 are performed in the same manner, and the survey area range is specified (including the designation of one feature (building)). Also, the building classification, building area, floor area ratio, etc. are specified.

  When the user of the personal computer 200 gives an instruction to start the residence year estimation process, the survey unit 112 executes the residence year estimation process as described below. Then, the survey result output unit 113 generates survey result output information based on the survey processing result in the survey unit 112 and transmits it to the personal computer 200 through the communication unit 101.

  The survey result output information in that case can, of course, survey the building age of all the surveyed buildings that meet the narrow-down conditions in the designated survey area range. In that case, the residence years of the survey results can be displayed in a superimposed manner corresponding to each survey target building in the house map image. Of course, as in the above-described example, a list including the items of the respective years of residence may be generated and displayed for the residents of the surveyed buildings in the survey area range.

[Residence years estimation process]
FIG. 14 is a flowchart for explaining the residence year estimation process. FIG. 15 is an explanatory diagram for explaining the residence year estimation process. The flowchart of FIG. 14 shows the occupancy years estimation process of the resident of one designated survey target building. When a predetermined area range is designated as the survey area range, the designated area range is shown. The processing shown in FIG. 14 is performed for all the residents of the surveyed building that meet the narrowing conditions in FIG.

  In this embodiment, the number of years of residence is determined by examining the change in the attribute information ATI of the building, which is the feature to be investigated, by tracing the housing map data sequentially from the latest version to the past. Calculate (estimate) as the number of years until the detected version. Specifically, with the year variable of the version as X, the presence / absence of a change in the attribute information ATI of the target building is detected between the two versions of the X year version and the (X-1) year version. When there is no change in the information ATI, the variable X is set to X = X-1, and the same processing is repeated. In this example, whether or not the attribute information ATI has changed is determined based on whether the attribute information ATI that is the same as the attribute information ATI existing in the X-year version of the residential map data is in the (X-1) -year version of the residential map data. Judgment is made based on whether or not it exists. Then, the number of years of residence is calculated as a variable n of the number of repetitions.

  As shown in FIG. 14, first, when receiving a request for the number of years of residence as a survey item from the personal computer 200, the request receiving unit 111 sends an instruction to display the latest version of the house map to the survey unit 112. The survey unit 112 that has received the instruction to display the latest version of the house map sets the year variable X of the version to X = 2014 (latest year) and sets the age of the building as an initialization process for estimating the number of years of residence. The variable n of the number of repetitions for obtaining is set to n = 1 (step S71). At this time, the 2014 version house map data, which is the latest version read from the house map data storage unit 103 by the survey unit 112, is converted into map image data by the survey result output unit 113, and personalized via the communication unit 101. It is transmitted to the computer 200.

  Next, the survey unit 112 accepts one of the surveyed buildings within the survey area specified by the personal computer 200 as the survey target of the number of years of residence, and from the latest version of the 2014 residential map data, The attribute information ATI of the building (feature) to be investigated is extracted and accepted (step S72).

  When there are a plurality of buildings to be surveyed within the survey area range, the survey unit 112 sequentially displays the buildings (features) in which the residents to be surveyed within the survey area range live in FIG. In this step S72, one of the surveyed buildings whose residence years have not been surveyed in the survey area range is accepted. When the residence year of a predetermined building is designated by the personal computer 200 as the survey target, the survey unit 112 receives the designation of the building to be surveyed through the communication unit 101 and the request receiving unit 111. Like that. In this case, the designation of the building that is the subject of the residence years surveyed by the user on the personal computer 200 may be the designation of a building frame (polygon) on the map, or the resident name or address. May be.

  Next, the survey unit 112 investigates whether or not the attribute information ATI of the surveyed building acquired from the X-year version of the residential map data in step S72 has changed in the (X-1) -year version of the residential map data. . That is, first, the investigating unit 112 completely matches the name of the attribute information ATI of the year X version with the name of the attribute information ATI of the (X-1) year version, and the reference point position of the character of the name Are completely matched (step S73). When it is determined that they match, the survey unit 112 decrements the variable X of the year of the version as X = X−1, and compares the two versions of the year to be compared with the year X of the year when the survey is finished. In addition to a version one year ago and a version two years ago, the variable n of the number of repetitions is set to n = n + 1 and incremented by 1 (step S74). And the investigation part 112 returns a process to step S73, and repeats the process step after this step S73.

  In step S73, the name of the X-year version attribute information ATI and the name of the (X-1) -year version attribute information ATI do not completely match, or the reference character position of the name character Is not completely matched, it is checked whether the centroid of the building position (polygon centroid) is matched and the name characters are matched to include the name of the previous year version ( Step S75). Here, the characters of the name are matched in a form including the name of the (X-1) year version, for example, the character of the name of the (X-1) year version is “Taro Yamada”. For example, the name of the version is “Yamada”. When it is determined that they match, the survey unit 112 decrements the variable X of the year of the version as X = X−1, and compares the two versions of the year to be compared with the year X of the year when the survey is finished. In addition to a version one year ago and a version two years ago, the variable n of the number of repetitions is set to n = n + 1 and incremented by 1 (step S76). And the investigation part 112 returns a process to step S73, and repeats the process step after this step S73.

  As a result of the check in step S75, if the centroid of the building position (polygon centroid) does not match, or the name characters do not match in the form including the name of the previous year, Assuming that there is a change in the building attribute ATI, the investigation unit 112 proceeds to step S77, and performs a process of sending out the investigation result of the residence year estimation process. That is, in this step S77, when the investigating unit 112 determines in step S75 that there is a change in the attribute information ATI to be investigated, the residents of the building to be investigated are the year X and the year (X-1). The value of the variable n of the number of repetitions at that time is calculated (estimated) as the number of years of residence, and is sent as a survey result. With the above, the estimation process of the residence years for the residents of one building is completed.

  With reference to FIG. 15, the estimation process of the above residence years will be further described with a specific example. In the example of FIG. 15, it is assumed that in step S72, the building of the resident subject to the survey is specified in the map data of the 2014 version which is the latest year version. In the example of FIG. 15, it is assumed that a building with the name “Zenneji Taro” is designated.

  Then, the survey unit 112 acquires the attribute information ATI of the designated building in the 2014 version (step S72). Next, the survey unit 112 determines whether or not there is a change in the attribute information ATI in the 2013 version of the residential map data (steps S73 and S75). As a result of the determination, if there is no change in the attribute information ATI of the 2013 version of the house map data, it is determined that Mr. Taro Zenneji was resident in 2013, and the year variable X of the version is counted by minus 1 (ie, X = 2013), and the variable n of the number of repetitions is set to plus 1 count (that is, n = 2) (step S74 or step S76), the process returns to step S73, and this time in the 2012 version of the residential map data It is determined whether or not the attribute information ATI has changed.

  However, in the example of FIG. 15, since Jiro Yamada resides in the building under investigation in 2013, the 2013 version of the residential map data does not have the 2014 attribute information ATI. In 2013, it is judged that Mr. Taro Zenneji is not resident. The value of the variable n of the number of repetitions at that time is n = 1. Therefore, in Step S77, the number of years of residence of Mr. Taro Zenne is estimated to be “less than one year”. Thus, the number of years of residence is represented by the number of the variable n of the number of repetitions. When n = 2, it is “less than 2 years”, and when n = 3, it is “less than 3 years”. When an apartment, condominium, or building is designated as the building to be investigated, it is determined whether or not there is a change in additional information that is attribute information ATI of the building.

  As described above, according to the above-described embodiment, the user of the personal computer 200 as the client device can be a resident of a building arbitrarily designated on the latest version of the house map or a resident of a building in a designated area range. It is possible to easily and quickly estimate the number of years of residence. Therefore, for example, a credit check of a resident can be performed efficiently. Further, the providing side of the house map server 100 can easily increase the added value of the existing house map data.

  In addition, although the residence year estimation process has determined whether or not the attribute information ATI of the building to be investigated has changed, for example, the change of the resident may be determined based on whether or not the ID of the attribute information ATI has changed.

  Note that the residence years of the survey results can be displayed in a superimposed manner corresponding to each building in the house map image, as in the case of the survey item “aged age”. Of course, for a plurality of buildings in the survey area range, a list including the items of residence years of each resident may be generated and displayed. Of course, the list may be provided to the client device as CSV format data. Further, the list may be displayed as a list sorted based on the number of years of residence. In addition, the sorting may be performed based on the area of the building frame (polygon) without being limited to the number of years of residence, or a method of combining both the number of years of residence and the area of the building frame.

  In the above explanation, the number of years of residence of the resident of the specified building or the resident of the building in the specified area range is calculated and the number of years of residence is output as the survey result. As in the case of “aged age”, the building in which the resident lives in the same building for a predetermined number of years or more may be output as the survey result.

  In addition, various information can be presented by combining the calculated residence years with building age data. For example, it is possible to calculate information such as how many times the occupants have changed since the survey target building was newly constructed or expanded, information on the average value of the years of residence of the survey target building, and the like.

[Soil contamination investigation processing]
Next, a description will be given of a processing example in step S19 executed when the information processing apparatus 102 of the house map server 100 determines that the selected survey item is “soil contamination”.

  FIG. 16 is a flowchart of the soil contamination investigation process, and FIG. 17 is an explanatory diagram for explaining the soil contamination process. In this embodiment, the soil contamination is mainly searched for the name in the attribute information ATI of the feature, and whether or not there has been a building or factory of a job that may cause soil contamination in the past as the name. This is done by investigating. In this case, it is also possible to investigate with reference to the type information of the attribute information ATI. Note that the type information of the attribute information ATI is auxiliary information for investigation, and the investigation may be performed based only on the name in the attribute information ATI.

  Even in the case of the survey item “soil contamination”, step S31 and step S32 of the flowchart shown in FIG. 5 are performed in the same manner to specify the survey area range (specify one feature (building). In addition, it is possible to narrow down the survey target features by specifying the building classification, building area, floor area ratio, and the like.

  As shown in FIG. 16, in the soil contamination investigation process in this embodiment, in the map server 100, when the communication unit 101 receives a request for the latest version of the house map display from the personal computer 200, the request reception unit of the information processing unit 102. 111 is instructed to the survey unit 112, and the image data generated by the survey result output unit 113 based on the 2014 version house map data acquired by the survey unit 112 is transmitted to the personal computer 200 via the communication unit 101. .

  In the house map server 100, the request accepting unit 111 accepts the designation of the investigation range (area) of soil contamination from the personal computer 200 through the communication unit 101 (step S81). Next, in the housing map server 100, the request receiving unit 111 receives the specification information of the retroactive year such as 30 years, for example, as the survey period specifying information sent from the personal computer 200 through the communication unit 101 ( Step S82).

  Then, in the information processing unit 102, the designated range (area) and the survey period (retroactive years) are transmitted to the survey unit 112 via the request reception unit 111, and the survey unit 112 starts from the 2014 version which is the latest version. For the past residential map data for each year version up to several minutes before the retroactive year accepted in step S82, the soil contamination is included in the attribute information ATI of all the features included in the designated survey area (region). It is investigated whether there is a possible name and type (step S83). In this embodiment, as the name and type that may cause soil contamination, whether or not “type = business establishment” and “name = cleaning factory” or “name = gas station” exists in the attribute information ATI. Search for no. In addition, “type = business establishment” and “name = XX chemical factory” may be added as targets of the attribute information ATI to be investigated. Names and types that may cause soil contamination may be stored in a database in advance, or may be input by the user.

  And as a result of the investigation in step S83, when there is a name and type that may cause soil contamination, the designated investigation range (area) indicates that there is a possibility of soil contamination. “Name = cleaning factory” or “name = gas station” or the like is output (displayed image information or the like) as the investigation result (step S84).

  It is also possible to display the year of the version of the house map data in which “name = cleaning factory” or “name = gas station” indicating the possibility of soil contamination is detected. Thereby, it is possible to grasp how many years ago “name = cleaning factory” or “name = gas station” indicating the possibility of soil contamination existed.

  This is the end of the soil contamination investigation process. With reference to FIG. 17, the soil contamination investigation process will be further described with a specific example.

  In step S81, as shown on the lower side of FIG. 17, in the housing map display of the latest version of the 2014 version, for example, the lower right A range (area) surrounded by a dotted line is designated as the soil contamination survey range. Suppose. In step S82, it is assumed that the residential map data of each year version up to the 1984 version whose survey period is 30 generations before, for example, is designated.

  Then, in step S83, the survey unit 112 has attribute information ATI of all the features included in the A range (area) for each year version of the residential map data from the latest version to the 1984 version 30 generations before. Are searched for whether “type = business establishment” and “name = cleaning factory” or “name = gas station” exist. The search range may search for a character string of a name included in the A range, or may search for a building name whose building shape partially overlaps the A range or at a predetermined rate.

  Then, in step S83, the investigation unit 112 finds that there is a possibility of soil contamination when “type = business establishment” and “name = cleaning factory” or “name = gas station” exist as a result of the search. If it does not exist, it is determined that there is no possibility of soil contamination.

  After that, the survey result output unit 113 that has received the determination result generates image data for displaying the determination result and transmits it to the personal computer 200 via the communication unit 101 in step S84. In the personal computer 200, the survey result is displayed on the 2014 version house map displayed on the display screen of the display 202.

  In the case of the example in FIG. 17, neither “name = cleaning factory” nor “name = gas station” exists in the A range (area), and it is displayed that there is no possibility of soil contamination. .

  In step S82, if the B range (area) including both the upper right and lower right shown by the dotted line in FIG. 17 is specified in the 2014 version of the residential map display, Since “name = cleaning factory” exists, the survey result indicates that there is a possibility of soil contamination.

  According to the embodiment of the soil contamination investigation process described above, the user of the personal computer 200 can easily and quickly conduct a soil contamination investigation for an arbitrarily designated period for a range (area) arbitrarily designated on the latest version of the house map. It is possible to conduct land transactions efficiently. Further, the providing side of the house map server 100 can easily increase the added value of the existing house map data.

[Other Embodiments or Modifications]
In the above-described embodiment, the building age, the age of residence, and soil contamination are listed as examples of the survey items. However, by using multiple versions of house map data stored in the house map data storage unit 103, other Various survey items can be surveyed. For example, it is possible to perform a search survey of a list of names in the attribute information for the past 30 years, for example, in each feature in a specified range (area).

  In the above-described embodiment, map data is stored in a plurality of versions, and the building age, the age of residence, and soil contamination of each individual building are obtained from the change points detected by investigating the past from the specified version. The building age, the age of residence, and the tendency of soil contamination may be obtained from the building. For example, an area where buildings with a building age of less than 5 years are crowded more than a predetermined may be obtained as a “new construction area” and displayed on the display 202. Further, for example, an area where buildings with a residence period of less than 5 years are concentrated may be obtained as a “transfer area” and displayed on the display 202. Further, for example, the degree of contamination may be obtained from a plurality of soil contamination situations, and the degree of contamination may be displayed in different colors. Furthermore, by analyzing the building age, the age of residence, and the period of soil contamination, it is possible to analyze their changes over time.

  Further, in the above-described embodiment, the map-related survey device is configured such that the residential map server and the personal computer 200 as the client device are connected through a communication network. Of course, it is possible to adopt a configuration of a stand-alone device having both functions of the server and the client device.

  DESCRIPTION OF SYMBOLS 100 ... Residential map server 101 ... Communication part 102 ... Information processing part 103 ... Residential map data storage part 111 ... Request reception part 112 ... Investigation part 113 ... Investigation result output part 200 ... Personal computer

Claims (5)

A map data storage unit that stores map data including feature shape information and attribute information about the feature in a plurality of versions based on the update time of the map data;
Survey item presentation means for presenting selectable survey items,
Receiving means for receiving a survey request for a survey item selected from the survey items;
Regarding the selected survey item received by the receiving unit, the change in the shape of the feature or the change in the attribute information related to the survey item is investigated for the map data of the plurality of versions of the map data storage unit. Survey means for generating a survey result on the selected survey item based on the survey result;
Investigation result output means for outputting the investigation result generated by the investigation means;
A map-related survey device comprising: The survey item is the age of the building,
The investigation means investigates the change in the shape of the investigation target building retrospectively from the version of the map data storage unit in which the map data of the plurality of versions is specified, with the feature to be investigated as the building. The building age of the building is calculated using a difference between a year of a past version in which a change in the shape of the building under investigation is detected and a year of the designated version. Map related survey device. The survey item is the number of years of residence,
The investigation means sets the feature to be investigated as the building, changes the attribute information of the building to be investigated, and traces the plurality of map data of the map data storage unit back to the past from the designated version. The number of years of residence is calculated using a difference between a year of a past version in which a change in the attribute information of the surveyed building is detected and a year of the specified version, while conducting a survey while tracing. The map-related survey device according to claim 1 or 2. The attribute information related to the feature includes the name of the feature as one of the attributes related to the feature,
The survey item is soil contamination for a specified area,
The investigation means investigates the name related to the soil contamination as the name included in the attribute information of the feature to be investigated for the designated area and the map data of the plurality of versions of the map data storage unit. When the name related to soil contamination is detected as the name included in the attribute information, the designated area is detected as having soil contamination. The map-related survey device described in 1. A communication unit connected to the communication network;
The means for presenting the survey item sends the survey item list information to the client device that sends the survey request through the communication unit via the communication network, and presents the list.
The accepting means accepts the investigation request sent from the client device through the communication network through the communication unit,
The said investigation result output means sends the said investigation result to the said client apparatus via the said communication network through the said communication part. It was set as the structure of the server apparatus characterized by the above-mentioned. Map-related survey device.

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