JP2021149268A - Information processor, information processing method, and information processing program - Google Patents

Abstract

To provide an information processor, an information processing method, and an information processing program, which can perform analysis suitable to an actual condition with excellent operability.SOLUTION: A server device 10(information processor) includes a heat map generation section 135 and an analysis section 136. The heat map generation section 135 is associated with map information and generates a heat map representing by classifying the number of persons or stores in a predetermined time in a mesh into a plurality of levels for each mesh obtained by partitioning a map in a predetermined size. The analysis section 136 arranges the heat map in the period in the region by overlapping on the map including the region according to the designation of region and period, receives a selection of at least one level among the plurality of levels in the heat map, and designates a plurality of meshes in which the heat map having the selected level(s) is arranged as an area to be analyzed.SELECTED DRAWING: Figure 3

Description

The present invention relates to, for example, an information processing device, an information processing method, and an information processing program that analyze the actual conditions of people in an area designated by a user.

Conventionally, a trade area analysis information system that analyzes a trade area such as a store has been known. This trade area analysis information system includes an information processing device and various databases. Map information and statistical information such as the number of inhabitants, their population composition, and store information are stored in various databases.

The trade area analysis information system superimposes map information and a store or a candidate store site on the display unit of the information processing device, sets the trade area of the store or the like based on the statistical information, and analyzes the trade area. To support sales activities.

In the conventional trade area analysis information system, the user inputs the store name and the radius, and the inside of the section included in the circle of the radius input centering on the store is set as the trade area to be analyzed (for example). , Patent Document 1).

Further, in the conventional trade area analysis information system, the user drags the map displayed on the display unit with the mouse to specify two points on the diagonal line, so that the quadrangle having the diagonal line is set as the trade area to be analyzed. There are some (see, for example, Patent Document 2).

Japanese Unexamined Patent Publication No. 2003-167881 Japanese Unexamined Patent Publication No. 10-307868

The actual map, that is, the land, has places such as railroad tracks, rivers, or vacant lots that residents and visitors cannot live in or enter. Therefore, as in the prior art described in Patent Documents 1 and 2, even if the area to be analyzed is specified on the map by a simple circle or quadrangle, the analysis result may not match the actual situation and the operation may be performed. The sex is also not good.

An object of the present invention is to provide an information processing device, an information processing method, and an information processing program which can perform analysis according to the actual situation and have good operability.

The information processing apparatus of the present invention includes a map acquisition unit for acquiring map information for drawing a map and a plurality of meshes associated with the map information and partitioning the map into a predetermined size, and the mesh. For each, the heat map generator that generates a heat map that divides the number of people or shops in the mesh at a predetermined time into multiple levels, and the area and period are specified. The heat map for the period in the area is superposed on the map including the area, accepts the selection of at least one of the multiple levels of the heat map, and has the selected level. It is characterized by including an analysis unit in which a plurality of meshes on which the heat map is arranged are used as an area to be analyzed.

In the present invention, it is possible to perform an analysis that suits the actual situation, and the operability is good.

It is a block diagram which shows the schematic structure of the information processing system of one Embodiment which concerns on this invention. It is a block diagram which shows the schematic structure of the server apparatus which is an information processing apparatus of this embodiment. It is a flowchart which shows the area selection analysis process which concerns on the information processing method of this embodiment. It is a flowchart which shows the area selection analysis process which concerns on the information processing method of this embodiment. This is an example of the top screen of the analysis tool related to the information processing method of the present embodiment. This is an example of an image displayed on the display of the user terminal in the area selection analysis process according to the information processing method of the present embodiment. This is an example of an image displayed on the display of the user terminal in the area selection analysis process according to the information processing method of the present embodiment.

Hereinafter, an embodiment according to the present invention will be described.
[1. Overall configuration of information processing system 1]
FIG. 1 is a block diagram showing a schematic configuration of the information processing system 1 of the present embodiment. As shown in FIG. 1, in the information processing system 1 of the present embodiment, the server device 10 which is an information processing device and the user terminals 20, 21, and 22 are communicably connected via a network such as the Internet. ing.

In this information processing system 1, the server device 10 is periodically transmitted by, for example, a user having a user terminal 20 (hereinafter referred to as an "behavioral user") operating the user terminal 20 at various places. Based on the user information of the behavior user, the population transition of each region and the interests and interests of the behavior user in each region are aggregated and accumulated. The user information includes a user history which is information indicating an action history of an action user. The user history includes a search history when using a search engine or the like, location information of a place where an action such as a search is taken, and the like. The details of the user information and the user history will be described later.

Further, the server device 10 is, for example, a store or area desired by the analysis user based on various accumulated information in response to a request from a user who operates the user terminals 21 and 22 (hereinafter referred to as “analysis user”). Forecast the number of customers, purchase amount, etc., and analyze stores and regions.
Hereinafter, each configuration of such an information processing system 1 will be described in detail.

[2. Configuration of server device 10]
FIG. 2 is a block diagram showing a schematic configuration of the server device 10.
The server device 10 is composed of a computer and functions as the information processing device of the present invention. The server device 10 includes a communication unit 11, a storage unit 12, a control unit 13, and the like.
The communication unit 11 is connected to a network (Internet) via, for example, a LAN, and communicates with the user terminals 20, 21, 22, 22, and the like.

[2-1. Configuration of storage unit 12]
The storage unit 12 is a data storage device composed of, for example, a memory, a hard disk, or the like. The storage unit 12 includes a map information storage unit (map information DB121), a mesh information storage unit (mesh information DB122), a spot information storage unit (spot information DB123), a statistical information storage unit (statistical information DB124), and an action user information storage unit. A unit (behavior user information DB 125), an action information storage unit (behavior information DB 126), a heat map storage unit (heat map DB 127), an analysis user storage unit (analysis user DB 128), and the like are provided.

Here, the storage unit 12 of the server device 10 is provided with map information DB 121, mesh information DB 122, spot information DB 123, statistical information DB 124, action user information DB 125, action information DB 126, heat map DB 127, and analysis user DB 128. As an example, these databases (DBs) may be provided in another data server or cloud storage that is communicably connected to the server device 10 via a network, and necessary data may be appropriately downloaded.
Further, the storage unit 12 stores an information processing program (software) for controlling the server device 10.

[2-1-1. Information stored in the map information DB 121]
The map information DB 121 is a database that stores map information for drawing a map. The map information includes, for example, a map image which is an image of a map, position information of latitude and longitude indicating a position on the map, and the like.

[2-1-2. Information stored in the mesh information DB 122]
A mesh is a map divided into predetermined sizes. The mesh information DB 122 is a database that stores mesh information. The mesh information includes a mesh ID that identifies each mesh, position information that indicates the position of the mesh associated with this mesh ID on a map (for example, the latitude and longitude of one corner of the mesh), and the like. Is done. Each mesh is divided into squares, for example, 250 meters in length and width.

[2-1-3. Information stored in the spot information DB 123]
In the specification of the present application, a spot means a spot that occupies a certain range on a map, such as a mountain, a river, a school, a park, a station, a railroad track, or a building. The spot information DB 123 is a database that stores spot information.

The spot information includes a spot ID that identifies each spot, a name of the spot associated with the spot ID, position information indicating the position of the spot on the map, and an icon for displaying the spot on the map. Images etc. are included. The location information of the spot is not the geographical center on the map of the spot or the address on the real estate registration, but the center of population or the point where many visitors to the spot gather (for example, the entrance of the building). , Bronze statues, monuments and other places used for meetings) are preferable.

[2-1-4. Information stored in the statistical information DB 124]
The statistical information DB 124 is a database that stores statistical information. Statistical information includes census data, commercial statistical data, and the like. The census data consists of the total population by region, gender, age, number of households, etc., and is summarized for each survey year. Commercial statistical data consists of survey results regarding the number of stores, the number of employees, the annual sales amount, the sales floor area, etc., for example, by industry, sales type (retail or wholesale), and region.

Each statistical information is aggregated for each mesh based on this raw data together with the census data etc. (hereinafter referred to as "raw data") obtained by the survey by an external research organization, and is associated with the mesh ID for statistical information. It is stored in DB 124.

[2-1-5. Information stored in the action user information DB 125]
The behavior user information DB 125 is a database that stores user information indicating the characteristics of each behavior user. The user information includes, for example, a user ID, a user name, a user attribute, a user history, and the like.

The user ID is information for identifying each action user, and different information is given to each action user. The user ID may be, for example, an e-mail address owned by each action user. The user name is, for example, the name or handle name of the action user. The user attribute is information indicating the characteristics of the behavioral user, and includes various information about the behavioral user such as gender, age group, preference, address, family structure, educational background, and annual income.

The user history is information indicating the behavior history of the behavior user. The user history includes, for example, a history of content browsed on the Internet (URL of browsed content and date and time of browsing), a search history when using a search engine or the like (keywords for online search or shopping search, and search date and time). It includes location information of places where actions such as browsing and searching were taken. Action When the user takes the action during movement, the position information includes the position information of the movement source and the movement destination. The position information is information obtained by the GPS (Global Positioning System) function of the user terminal 20, and also indicates actual measurement values such as longitude and latitude, the position of an access point with which the user terminal 20 has performed predetermined communication, and the like. It may be information.

[2-1-6. Information stored in the action information DB 126]
The behavior information DB 126 is a database that stores behavior information related to the behavior of an anonymous user (anonymous person) who has anonymized each behavior user. When anonymizing each behavioral user, for example, the attributes of the behavioral user such as age group, gender, hobbies, preferences, residential area, work area, behavioral area, educational background, occupation, family structure, annual income, etc. are used as anonymization factors. do. As an example of an anonymous user, for example, an unmarried man in his thirties who has a hobby of playing games and whose residence area, work area, and action area are all in the Tokyo metropolitan area, and whose residence area, work area, and action area are all Kansai. Unmarried women in their twenties. The combination of anonymization elements for assuming these anonymous users will be called anonymization conditions.

The action information is a collection of user histories of each action user stored in the action user information DB 125 for a predetermined period or region for anonymous users set in advance or by an analysis user. Here, the preset anonymous user is, for example, an anonymous user having only anonymization elements that can be assumed in advance such as age group, gender, and residential area, and the user history of such an anonymous user is an action. The information generation unit 134 may aggregate the data on a daily or monthly basis and store it in the action information DB 126 in advance.

[2-1-7. Information stored in the heat map DB127]
In the present specification, the heat map is, in the present specification, imitating a thermography technique, and divides the number of people such as residents and visitors in a predetermined time in the mesh into a plurality of levels for each mesh. For example, it refers to the one expressed in association with the difference in shade and color. For example, when the heat map shows the amount of population in shades, the darker the map, the larger the population, and the lighter the map, the smaller the population. On the other hand, when the heat map shows the size of the population by the difference in color, it means that the stronger the warm color is, the larger the population is, and the weaker the cool color is, the smaller the population is. The heat map DB 127 is a database that stores heat maps for each mesh in predetermined time units such as, for example, daily, weekly, monthly, four seasons, yearly, five-year, and ten-year units.

Among the heat maps, the population transition of the residents in the mesh is created by the heat map generation unit 135 at predetermined period based on the statistical information stored in the statistical information DB 124 and stored in the heat map DB 127.

Of the heat maps, the population transition of visitors in the mesh is created by the heat map generation unit 135 at predetermined intervals based on the behavior information stored in the behavior information DB 126 and stored in the heat map DB 127. Further, when the analysis user sets an anonymous user, the heat map generation unit 135 is a combination of a plurality of attributes possessed by the anonymous user among the behavior information stored in the behavior information DB 126 regarding the population transition of the anonymous user. Based on the behavior information of the behavioral user who satisfies the condition, the behavioral information is created every predetermined period and stored in the heat map DB 127.

The heat map is displayed as a semi-transparent image on the map image on the display units constituting the user terminals 21 and 22. In this embodiment, the population within each mesh is represented by a heatmap with 14 levels of shade or color difference. The following is an example of the population of 14 levels.

1) 0 to 10 people 2) 11 to 30 people 3) 31 to 60 people 4) 61 to 100 people 5) 101 to 250 people 6) 251 to 500 people 7) 501 to 1,000 people Man

8) 1,001 to 2,000 9) 2,001 to 3,000 10) 3,001 to 7,500 11) 7,501 to 10,000 12) 10,001 ~ 35,000 people 13) 35,001 people ~ 50,000 people 14) 50,001 people ~

[2-1-8. Information stored in the analysis user DB128]
The analysis user DB 128 is a database that stores user information indicating the characteristics of each analysis user and the analysis history performed by the analysis user. The user information includes, for example, a user ID, a user name, a user attribute, and the like.

The user ID is information for identifying each analysis user and for logging in to the analysis tool, and different information is given to each analysis user. The user ID may be, for example, an e-mail address owned by each analysis user. The user name is, for example, the name or handle name of the analysis user. User attributes are information that indicates the characteristics of the analysis user, such as gender, age, affiliation, affiliation address, password for logging in to the analysis tool, payment method of the analysis tool usage fee, and various other information about the analysis user. Is included.

The analysis history is information indicating the history of the analysis results performed in the past by the analysis user. The analysis history includes, for example, the date and time when the analysis was performed, the time required for the analysis, the set analysis conditions, the analysis results obtained based on each analysis condition, the editing results edited by the editorial department 137, and the like. Is included.

[2-2. Function configuration of control unit 13]
The control unit 13 is composed of an arithmetic circuit such as a CPU (Central Processing Unit) and a storage circuit such as a RAM (Random Access Memory). The control unit 13 expands the information processing program stored in the storage unit 12 or the like into the RAM, and executes various processes in cooperation with the program expanded in the RAM.

Then, the control unit 13 reads and executes the information processing program stored in the storage unit 12, and as shown in FIG. 2, the control unit 13 includes the map acquisition unit 131, the statistical information generation unit 132, the action user information acquisition unit 133, and the action. It functions as an information generation unit 134, a heat map generation unit 135, an analysis unit 136, an editorial unit 137, and the like.

In the present embodiment, the information processing device is configured by one server device 10, and the control unit 13 is a map acquisition unit 131, a statistical information generation unit 132, an action user information acquisition unit 133, an action information generation unit 134, and a heat. An example of functioning as a map generation unit 135, an analysis unit 136, and an editorial unit 137 will be shown, but the present invention is not limited thereto. For example, the information processing device of the present invention may be configured by a plurality of server devices connected so as to be communicable. In this case, the processing load can be reduced by providing the server devices corresponding to each function. can.

The map acquisition unit 131 acquires map information from the map information DB 121, acquires mesh information associated with the acquired map information, and supplies the mesh information to the analysis unit 136.

The statistical information generation unit 132 acquires raw data such as national census data and commercial statistical data obtained by a survey by an external research organization and stores them in the statistical information DB 124. For example, the statistical information generation unit 132 processes the raw data for each mesh and stores it in the statistical information DB 124 in association with the mesh ID. The statistical information generation unit 132 may execute the processing process in advance for all the meshes at the time of acquiring the raw data, a plurality of meshes included in the area when the area is selected for analysis, and these. It may be executed for a plurality of meshes adjacent to the mesh of. In addition, the statistical information generation unit 132 may acquire the raw data when a new census or the like is conducted and the raw data is updated.

The action user information acquisition unit 133 acquires the user information of each action user periodically transmitted from the user terminal 20, and stores the user information in the action user information DB 125 in association with the user ID.

The behavior information generation unit 134 generates behavior information related to the behavior of an anonymous user based on the user information stored in the behavior user information DB 125, and stores it in the behavior information DB 126. The action information generation unit 134 may execute the action information generation process in advance for a preset anonymous user, or is included in the area when an area is selected for analysis and anonymization conditions are set. It may be executed for a plurality of meshes, and anonymous users in a plurality of meshes adjacent to these meshes.

For the resident, the heat map generation unit 135 creates a heat map of the population in advance for each mesh and for each predetermined period based on the statistical information stored in the statistical information DB 124, and stores it in the heat map DB 127. Further, for the visitor, the heat map generation unit 135 creates a heat map of the population for each mesh and at a predetermined time in advance based on the behavior information stored in the behavior information DB 126 and stores it in the heat map DB 127.

The analysis unit 136 assists the analysis user in selecting an area to be analyzed. Further, the analysis unit 136 reads out the map information and mesh information of the area to be analyzed, the spot information DB 123, the action information DB 126, the heat map DB 127, and the like, which are supplied from the map acquisition unit 131. The spot information, action information, heat map, etc. of the above are combined and transmitted to the user terminal 21 or 22 that requested the analysis. Further, the analysis unit 136 transmits the editing result for each analysis user read from the analysis user DB 128 to the user terminal 21 or 22 requesting the analysis.

The editorial unit 137 stores the analysis history of the designated analysis user in the analysis user DB in association with the user ID of the analysis user in response to the instruction of the analysis unit 136. Further, the editorial unit 137 reads the analysis history of the designated analysis user from the analysis user DB in response to the instruction of the analysis unit 136, edits the analysis history based on the editing conditions set by the analysis user, and edits the analysis history. The result is stored in the analysis user DB in association with the user ID of the analysis user as a part of the analysis history of the analysis user.

[3. Configuration of user terminals 20, 21, and 22]
User terminals 20, 21, and 22 are terminal devices owned by behavioral users or analysis users, and are composed of computers such as smartphones, tablet terminals, and personal computers. Although the illustration of the specific configuration of the user terminals 20, 21 and 22 is omitted, the user terminals 20, 21 and 22 have the basic configuration of a general computer. That is, the user terminals 20, 21, and 22 are an input operation unit that accepts operations of an action user or an analysis user, a display that displays image information, a storage device that stores various information, and an arithmetic circuit (CPU) that performs arithmetic processing of various information. Etc.). The user terminal 20 is preferably portable.

[4. Information processing method]
Next, the information processing method in the information processing system 1 will be described.

[4-1. Area selection analysis process]
3 and 4 are flowcharts showing an area selection analysis process according to the information processing method of one embodiment. FIG. 5 is an example of the top screen of the analysis tool according to the information processing method of the present embodiment, and is displayed on the display of the user terminal 21 or 22. FIG. 5 is provided with a text box 31 for inputting an area name or a spot name to be analyzed, and combo boxes 32 and 33 for inputting or selecting the start and end of the analysis period.

If only one of the combo box 32 and the combo box 33 is input or selected, the start and end are set within the set date. For example, if "June 2019" is entered in the combo box 32 and nothing is entered in the combo box 33, the period from June 1, 2019 to June 30, 2019 is set. Become.

In this state, in the arithmetic circuit of the user terminal 21 or 22, the area name or the like is input in the text box 31 shown in FIG. 5, and the start and end of the analysis period are input or selected in the combo boxes 32 and 33. Whether or not it is determined (step S1). If the determination result in step S1 is "NO", the arithmetic circuit repeats the determination.

When the determination result in step S1 is "YES", that is, the area name and the like are input in the text box 31 shown in FIG. 5, and the start and end of the analysis period are input or selected in the combo boxes 32 and 33. In this case, the arithmetic circuit transmits the information such as the area name input in the text box 31 and the start and end of the analysis period input or selected in the combo boxes 32 and 33 to the server device 10 ( Step S2).

In this case, it is assumed that "Ebisu Station" is input to the text box 31, "June 2019" is input to the combo box 32, and nothing is input to the combo box 33.

Upon receiving the information such as the area name and the beginning and end of the analysis period, the analysis unit 136 transfers the received information such as the area name to the map acquisition unit 131. The map acquisition unit 131 acquires map information from the map information DB 121 based on the supplied information such as the area name, acquires the mesh information associated with the acquired map information, and obtains the acquired map information and The mesh information is supplied to the analysis unit 136 (step S21).

The analysis unit 136 reads out the spot information, the action information, and the heat map from the spot information DB 123, the action information DB 126, and the heat map DB 127 based on the received information such as the area name, the beginning and the end of the analysis period. Next, the analysis unit 136 synthesizes the map information, the mesh information, the spot information, the behavior information, and the heat map (step S22).

Then, the analysis unit 136 transmits the synthetic data to the user terminal 21 or 22 that requested the analysis (step S23).

The arithmetic circuit of the user terminal 21 or 22 displays the received composite data on the display (step S3). FIG. 6 is an example of an image displayed on the display of the user terminal 21 or 22 in the process of step S3. In the example of FIG. 6, a mesh and a heat map are shown on top of a map of the area centered on the center of population as a spot of JR Ebisu Station.

The heat map displayed in FIG. 6 shows the amount of population in each mesh as of June 17, 2019, which is the analysis target date. The population in each mesh is, by default, the sum of the inhabitants of that mesh and the visitors who visited the mesh on June 17, 2019, the date of analysis.

In FIG. 6, the heat map level selection unit 41 is displayed in the upper right corner of the map. The heat map level selection unit 41 describes a square box of colors assigned to each of the 14 levels described above and an upper limit of the number of people in each level. The box of each color is a user interface for selecting an area to be analyzed for a plurality of meshes colored with each color on the map.

That is, when the analysis user selects a set of meshes colored in a certain color from the heat map as the area to be analyzed, the analysis user uses the pointing device constituting the input operation unit of the user terminal 21 or 22. The color box may be operated, or in the case of a touch panel in which the input operation unit is arranged on the display, the color box may be touched with a finger, a light pen, or the like.

In FIG. 6, a period display unit 42, a slider bar 43, and a slider 44 are displayed at the lower left of the map. On the period display unit 42, “2019/6/17”, which means June 17, 2019, which is the analysis target date, is displayed. The slider bar 43 represents the period from 1 day to 30 days as a bar, and the slider 44 is located on the slider bar 43 between the 10th and 20th days, which is closer to 20 days. June 17th is displayed.

Next, the arithmetic circuit of the user terminal 21 or 22 determines whether or not any level of the heat map is selected in order to select the area to be analyzed (step S4). The process of step S4 is performed by determining, for example, whether or not any box of the heat map level selection unit 41 displayed on the display of the user terminal 21 or 22 has been operated. If the determination result in step S4 is "NO", the arithmetic circuit repeats the determination.

When the determination result in step S4 is "YES", that is, when any level is selected, the arithmetic circuit of the user terminal 21 or 22 transmits the information of the selected level to the server device 10 ( Step S5). In this case, assuming that the yellow box, that is, level 9 (population per mesh: 2,001 to 3,000) is selected, the arithmetic circuit of the user terminal 21 or 22 is level 9. Information indicating that the selection has been made is transmitted to the server device 10.

Based on the received selection level information, the analysis unit 136 of the server device 10 determines a plurality of meshes having the same level as the selection level on the map as the area to be analyzed, and stores the analysis history in the editorial unit 137. Instruct to start. In response to the instruction from the analysis unit 136, the editorial unit 137 starts storing the current analysis history in the analysis user DB in association with the user ID of the analysis user (step S24).

Next, the analysis unit 136 reads out the behavior information and the heat map corresponding to the area to be analyzed from the behavior information DB 126 and the heat map DB 127 for the analysis period. Next, the analysis unit 136 synthesizes behavior information and a heat map for the analysis target area for the analysis period (step S25).

Then, the analysis unit 136 transmits the synthetic data regarding the area to be analyzed to the user terminal 21 or 22 that requested the analysis (step S26).

The arithmetic circuit of the user terminal 21 or 22 displays the received composite data on the display (step S6). In this case, in order to show that the area to be analyzed has been determined on the display of the user terminal 21 or 22, for example, a plurality of meshes belonging to the area may be used to border the entire continuous edge, or each mesh may be used. May be displayed differently from other meshes, such as blinking.

Next, the arithmetic circuit of the user terminal 21 or 22 determines whether or not the analysis conditions have been changed (step S7 in FIG. 4). The process of step S7 is performed by determining, for example, whether or not the slider 44 displayed on the display of the user terminal 21 or 22 has been operated.

When the determination result in step S7 is "YES", that is, when the slider 44 shown in FIG. 6 is operated, the arithmetic circuit is changed such as the analysis target date changed according to the operation of the slider 44. The analysis conditions are transmitted to the server device 10 (step S8). In this case, assuming that the slider 44 is operated and the analysis target date is continuously changed from June 17th to June 23rd, the arithmetic circuit of the user terminal 21 or 22 is within the determined area. , Information indicating that the analysis target date has been continuously changed from June 17 to June 23 is sequentially transmitted to the server device 10.

The analysis unit 136 of the server device 10 sequentially reads out the action information and the heat map of the area from the action information DB 126 and the heat map DB 127 based on the received information of the changed analysis conditions. Next, the analysis unit 136 sequentially synthesizes the analysis target day, the behavior information, and the heat map (step S28).

Then, the analysis unit 136 transmits the synthetic data to the user terminal 21 or 22 that requested the analysis (step S29).

The arithmetic circuit of the user terminal 21 or 22 displays the received composite data on the display (step S9). FIG. 7 is an example of an image displayed on the display of the user terminal 21 or 22 in the process of step S9. In the example of FIG. 7, the mesh and the heat map are shown superimposed on the map of the area centered on JR Ebisu Station, as in the example of FIG.

In FIG. 7, “2019/6/23”, which means June 23, 2019, is displayed on the period display unit 42 at the lower left of the map. The slider bar 43 represents the period from 1 day to 30 days as a bar, and the slider 44 is located on the slider bar 43 between the 20th and 30th days, which is closer to 20 days, so that the analysis target date is June. The 23rd is displayed.

In addition, the heat map displayed in FIG. 7 shows the amount of population in each mesh on June 23, 2019, which is the analysis target date. In FIG. 7, when comparing FIG. 6, there are many level 10 and level 11 heat maps in the area to be analyzed. This is because June 17th is Monday, while June 23rd is Sunday. In other words, it can be intuitively understood that there are more weekend visitors (for example, shoppers) than weekday visitors (for example, commuters) in this area.

On the other hand, when the determination result in step S7 is "NO", that is, when the analysis conditions are not changed, the arithmetic circuit of the user terminal 21 or 22 does nothing and proceeds to step S10. Further, even when the process of step S9 is completed, the arithmetic circuit of the user terminal 21 or 22 proceeds to step S10.

In step S10, the arithmetic circuit of the user terminal 21 or 22 determines whether or not the analysis has been completed. The process of step S10 is performed by, for example, determining whether or not an icon or button for instructing the end of analysis has been operated. When the analysis user finishes the analysis, he / she may set the editing condition of the analysis history as needed. If the determination result in step S10 is "NO", the arithmetic circuit of the user terminal 21 or 22 returns to step S7 and repeats the processes of steps S7 to S9 described above.

On the other hand, when the determination result in step S10 is "YES", that is, when the analysis is completed, the arithmetic circuit of the user terminal 21 or 22 proceeds to step S11. In step S11, the arithmetic circuit of the user terminal 21 or 22 transmits information indicating that the analysis has been completed (including the analysis condition editing condition if set) to the server device 10.

The analysis unit 136 of the server device 10 ends the storage of the analysis history in the editorial unit 137 and starts editing based on the information indicating that the received analysis has been completed (including the editing conditions of the analysis history if set). (Step S30).

The editorial unit 137 ends the storage of the analysis history in response to the instruction of the analysis unit 136, reads the analysis history related to the analysis user from the analysis user DB, and analyzes the analysis history with preset editing conditions or analysis. Editing is performed based on the editing conditions set by the user, and the editing result is stored in the analysis user DB in association with the user ID of the analysis user. The analysis unit 136 reads the edit result of the analysis user from the analysis user DB 128, transmits it to the user terminal 21 or 22 requesting the analysis, and then ends a series of processes (step S31).

The arithmetic circuit of the user terminal 21 or 22 ends a series of processes after displaying the received editing result on the display (step S12). The analysis results include, for example, the population transition of residents and visitors in the area, the gender and age ratio of each of the residents and visitors and their total, and a list of keywords of interest in the area.

[5. Action effect of this embodiment]
In the server device 10 which is the information processing device of the present embodiment, the control unit 13 reads and executes the information processing program stored in the storage unit 12, thereby causing the map acquisition unit 131, the heat map generation unit 135, and the analysis unit. Functions as 136. The map acquisition unit 131 acquires map information and a plurality of meshes. The heat map generation unit 135 generates a heat map for each mesh, in which the number of people or shops in the mesh at a predetermined time is divided into a plurality of levels. The analysis unit 136 superimposes the heat map for the period within the area on the map including the area according to the designation of the area and the period, and arranges the heat map at least one of the plurality of levels of the heat map. The area is a plurality of meshes in which selections are accepted and heat maps having the selected levels are arranged.
Therefore, in the present embodiment, the analysis user can intuitively specify a desired area with a simple operation.

In the present embodiment, the analysis unit 136 receives a change instruction to change the date and time belonging to the period, and each time the change instruction is received, the heat map at the date and time in the area is superimposed on the map including the area. Place it.
Therefore, in the present embodiment, the analysis user can intuitively grasp the population transition in a certain period of the desired area with a simple operation.

In the present embodiment, the editorial unit 137 stores the transition of the number corresponding to the heat map at each date and time changed according to the change instruction by the analysis user as the analysis history, and edits the analysis history.
Therefore, in the present embodiment, the analysis user can acquire the analysis result of the desired area without being aware of the analysis.

[6. Modification example]
The present invention is not limited to the above-described embodiment, but also includes the modifications shown below to the extent that the object of the present invention can be achieved.

[6-1. Modification 1]
In the above embodiment, the shape of the mesh is not limited to a quadrangle, and may be a shape such as an equilateral triangle or a parallelogram that can fill the space without gaps by arranging them side by side.

[6-2. Modification 2]
In the above embodiment, when selecting the area to be analyzed, an example of selecting a heat map of one level is shown, but heat maps of a plurality of adjacent levels may be selectable. Further, in the above embodiment, an example of selecting an area to be analyzed by operating any box of the heat map level selection unit 41 is shown, but the present invention is not limited to this, and for example, the area to be analyzed may be used. The area may be selected by manipulating any of the arranged heat maps (mesh).

[6-3. Modification 3]
In the above embodiment, an example in which the analysis period is set at the beginning and the end is shown, but the day of the week, the season, and the time zone may be fixed, and the analysis may be performed on a monthly or yearly basis. With this configuration, for example, it is possible to grasp the seasonal population transition in the past 10 years, the population transition for each day of the week in one month, and the like.

[6-4. Modification 4]
In the above embodiment, the heat map imitates a thermography technique and divides the number of people such as residents and visitors in a predetermined time in the mesh into a plurality of levels for each mesh, for example. It is defined as being represented in association with shades, differences in color, etc., but is not limited to this. The heat map divides, for example, the number of shops, the number of employees, the annual sales amount, the sales floor area, etc. in the mesh into a plurality of levels for each mesh, for example, shades, differences in color, etc. It may be expressed in association with.

The heat map generation unit 135 creates and stores the transition of the number of shops and the like in each mesh in the heat map DB 127 at predetermined intervals based on the commercial statistical data stored in the statistical information DB 124. In this case, the predetermined period is set to a predetermined period longer than the heat map of the population, for example, half a year, one year, five years, ten years, etc., in consideration of updating commercial statistical data. In this way, if the number of shops and the like are also expressed by a heat map, it is possible to analyze the transition of the trade area itself.

[6-5. Modification 5]
In the above embodiment, an example is shown in which the analysis condition changed in step S7 is a period, but the present invention is not limited to this. The analysis conditions include, for example, anonymization conditions, that is, a combination of anonymization factors such as age group, gender, hobbies, preferences, residential area, work area, behavior area, educational background, occupation, family structure, and annual income. You may change this anonymization condition at best. In this case, if the anonymization condition is changed while the analysis target date and time are fixed, it is possible to intuitively grasp the difference in the mesh visited by each anonymous user at the same date and time in a certain area. In addition, if the anonymization conditions and the change of the period are appropriately combined, a more detailed population transition can be intuitively grasped.

[6-6. Modification 6]
In the above embodiment, an example of changing the analysis conditions within the determined area is shown, but the present invention is not limited to this. After setting the target anonymous user by the analysis user, the area itself may be changed by changing the analysis target date and time with the slider 44. With this configuration, the analysis user can intuitively grasp that the area visited by the target anonymous user changes, for example, on weekdays and weekends and holidays in a certain area.

1 ... Information processing system, 10 ... Server device (information processing device), 11 ... Communication unit, 12 ... Storage unit, 13 ... Control unit, 20, 21, 22, ... User terminal, 121 ... Map information DB, 122 ... Mesh information DB, 123 ... Spot information DB, 124 ... Statistical information DB, 125 ... Behavior user information DB, 126 ... Behavior information DB 127 ... Heat map DB, 128 ... Analysis user DB, 131 ... Map acquisition unit, 132 ... Statistical information generation Department 133 ... Action user information acquisition unit, 134 ... Action information generation unit, 135 ... Heat map generation unit 136 ... Analysis department, 137 ... Editorial department, 31 ... Text box, 32, 33 ... Combo box, 41 ... Heat map Level selection section, 42 ... period display section, 43 ... slider bar, 44 ... slider.

Claims (7)

A map information for drawing a map, a map acquisition unit that is associated with the map information and acquires a plurality of meshes for dividing the map into a predetermined size, and a map acquisition unit.
For each mesh, a heat map generation unit that generates a heat map that divides the number of people or shops in the mesh into a plurality of levels and represents them.
Depending on the designation of the area and the period, the heat map in the period in the area is superposed on the map including the area, and at least one of the multiple levels of the heat map is said. An analysis unit that accepts the selection of the above and sets the plurality of meshes on which the heat map having the selected level is arranged as the area to be analyzed.
An information processing device characterized by being equipped with. In the information processing apparatus according to claim 1,
An anonymous person with the desired attributes can be specified for the person.
The information processing device is characterized in that the heat map generation unit generates a heat map for each of the meshes, which represents the number of anonymous persons divided into a plurality of levels at a predetermined time in the mesh. .. In the information processing apparatus according to claim 2,
The analysis unit
Accepting the change instruction to change the attribute of the anonymous person,
An information processing device characterized in that a heat map relating to the anonymous person whose attributes have been changed is superposed on the map each time the change instruction is received. In the information processing apparatus according to any one of claims 1 to 3.
The analysis unit
Accepting a change instruction to change the date and time belonging to the above period
An information processing device characterized in that a heat map at the date and time is superposed on the map each time the change instruction is received. In the information processing apparatus according to claim 3 or 4.
It is necessary to store as an analysis history the transition of the number of the person or the store corresponding to the heat map at each date and time changed according to the change instruction, and further provide an editorial department for editing the analysis history. An information processing device characterized by. An information processing method that allows a computer to select a desired area on a map and analyze changes in the number of people or shops in that area.
The computer includes a heat map generation unit and an analysis unit.
The computer
The heat map generation unit generates a heat map that divides the number of people or shops in a predetermined time in the mesh into a plurality of levels for each mesh that divides the map into a predetermined size. Steps and
The analysis unit superimposes the heat map of the period in the area on the map including the area according to the designation of the area and the period, and at least among the plurality of the levels of the heat map. An information processing method comprising a step of accepting selection of one of the levels and using a plurality of the meshes on which the heat map having the selected level is arranged as the area. An information processing program that is read and executed by a computer.
An information processing program characterized in that the computer functions as the information processing device according to any one of claims 1 to 5.

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