JP2004118853A - Method, program and device for preparing detail statistical data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To easily and precisely prepare a detail statistical data totalized with population or the like by a unit smaller than a unit in an existing statistical data. <P>SOLUTION: A phone number is read from a phone number database, coordinates or an address corresponding thereto is collated with coordinates or an address of a map data, and the coordinates on the map data corresponding to the phone number are thereby acquired as a phone number point. A distribution coefficient (g= c/C) is found based on the personal phone number point (C) totalized under an inclusion condition in every of the first sections, and based on the personal phone number point (c) totalized under an inclusion condition in every of the second sections, the statistical data in the every first section is distributed by the distribution coefficient (g) to obtain the statistical data in the every second section. Correction processing is carried out in an area of low phone registration rate, using an address database. <P>COPYRIGHT: (C)2004,JPO

Description

The present invention relates to a technique for creating detailed statistical data. More specifically, detailed statistical data, such as population, aggregated in smaller units than currently generally available units on GIS (= Geographic \ Information \ System Geographic Information System). The invention relates to a method, a program and an apparatus for making.

統計 Statistical data currently on the market include machicho statistical data and statistical mesh data. All of these data were created based on the results of census and surveys by private research institutes. Statistical data for town chocks is statistical data aggregated on a town cho (~ chome) basis, and statistical mesh data is 500 m. It is statistical data obtained by totaling x 500 m as the minimum mesh unit.

Generally, the trade area of a store differs according to its size. For example, the trade area of a supermarket has a radius of 2000 m, but the trade area of a convenience store is said to have a radius of 300 m, and the trade areas of even smaller drinking coffee and hamburger shops are smaller. The radius is about 50 to 100 m. Therefore, when opening such a store, it is necessary to consider commercial factors such as population, age group, income group, etc. belonging to the business area.

However, at this time, only statistical data aggregated in town blocks or 500 m mesh units can be obtained. For example, even if the population of a certain town can be determined from the town statistical data, a specific block (~ chome-number) included in the town, a small section of 50 m or 100 m in mesh units, etc. The population is unknown at all.

Therefore, even if you plan to open a store such as a convenience store, a standing coffee shop, or a hamburger shop, the existing statistical data completely covers the commercial area in one unit, and accurately grasps the commercial elements belonging to the commercial area. The problem is that you cannot do that. In particular, when there is a large population bias in one unit of existing statistical data (towns and meshes) or when trying to open a store near the boundary of multiple units, only poorly reliable data can be obtained. It is extremely difficult to grasp the data based on the trade area.

In view of such a current situation, in the following Patent Document 1 by the present applicant, for example, a town block using the GIS method is used as the original data based on the town street statistical data, the town street map data, and the house map data. A method to create detailed statistical data in units and small mesh units was proposed. According to this method, a composite map is created by combining the town map data and the house map data and drawn on a computer display. The total number of address points for each town is counted in the composite map on the display, and the address points are calculated. The corrected address point number (c) is obtained by subtracting the number of address points regarded as non-individual addresses from the total number using the telephone number point as a parameter, and counting the corrected address point number for each block included in the town block. The method is characterized in that the number of corrected address points (g) for each block is counted, and that the statistic data for each block is obtained by allocating the statistic data for the town block with a distribution coefficient (ga) obtained from (ga = g / c). .

JP-A-2002-041752 (Claim 1, FIG. 1)

The method described in Patent Literature 1 is useful in that statistical data provided only in town blocks or at least 500 m mesh units can be converted into detailed statistical data in block units or arbitrary minute mesh units. Although highly acclaimed, there is a need for the development of new technologies that can create even more accurate detailed statistical data.

In particular, currently available address databases have a structure having only one address point at the same coordinates, so in an area where there are many apartment houses, according to the above method, appropriate distribution weighting is not performed, and as a result, There is a possibility that detailed statistical data with low accuracy will result.

Therefore, the present invention provides a new method for easily and accurately creating detailed statistical data in which population and the like are aggregated for each unit smaller than existing statistical data, and in particular, intends to open a small store. It is an object of the present invention to be able to easily and accurately grasp data of a population or the like belonging to the trade area.

In order to achieve this object, the present invention according to claim 1 is based on statistical data, such as population, aggregated for each first section of a predetermined unit. Etc., wherein a computer obtains statistical data for each first section, and obtains map data in which addresses and coordinates are stored in a one-to-one correspondence. And a step of obtaining a telephone number database storing telephone numbers and their corresponding coordinates or addresses.Reading telephone number data one by one from the telephone number database, and converting the corresponding coordinates or addresses into map data coordinates or Acquiring coordinates on the map data corresponding to the telephone number data as telephone number points by collating with the address; Counting the telephone number points (C) of the individual, calculating the telephone number points (c) of the individual according to the inclusion condition for each second section, and the number of telephone number points of the individual for the first section (C) calculating the distribution coefficient (g = c / C) based on the number of telephone number points (c) of the individual for each second section; and distributing the statistical data for each first section to the distribution coefficient (g). ) To obtain statistical data for each second section by performing the above steps.

According to a second aspect of the present invention, in the method according to the first aspect, the first section is a section in town blocks or mesh units, and the second section is a section in block units, and statistical data for each block is obtained. It is characterized by the following.

According to a third aspect of the present invention, in the method according to the first aspect, the first section is a section in a town block or a mesh unit, and the second section is a mesh smaller than the town block or a mesh in the first section. The method is characterized in that statistical data for each small mesh is obtained as a unit section.

According to a fourth aspect of the present invention, in the method according to the first aspect, when there is a second section extending over the plurality of first sections, the second section is divided into a plurality of subdivisions by boundaries of the first section. Dividing the subdivision into sub-divisions, counting individual telephone number points (ta) and (tb) based on the inclusion conditions for each of the plurality of subdivisions, (B) summing the detailed statistical data for each subdivision obtained on the basis of (tb) to obtain statistical data for each second subdivision.

According to a fifth aspect of the present invention, detailed statistical data such as population for each second section of a lower concept included in the first section is created from statistical data such as population for each first section of a predetermined unit. Acquiring a statistical data for each first section, acquiring map data in which addresses and coordinates are stored in one-to-one correspondence, and acquiring an address database. Reading the address data from the address database and obtaining the coordinates on the corresponding map data as an address point by comparing the address data with the address of the map data; and a telephone number and the corresponding coordinates or the address and the holder Obtaining a telephone number database in which the discrimination flag is stored; and reading out telephone number data one by one from the telephone number database. Acquiring the coordinates on the map data corresponding to the telephone number data as telephone number points by comparing the coordinates or addresses corresponding to the map data with the coordinates or addresses of the map data; Totalizing the points (J1), totaling the telephone number points (T1) of the individual and the corporation under the inclusion condition for each first section, and subtracting the telephone number points (T1) from the address points (J1). Calculating a personal address point (J2) that has not been telephone-registered for each first section, totaling address points (j1) for each second section under inclusion conditions, and telephone numbers of individuals and corporations Totalizing the points (t1) by the inclusion condition for each second section; and subtracting the telephone number points (t1) from the address points (j1) to obtain the second points. A step of calculating a personal address point (j2) that has not been telephone-registered for each image; a step of determining the individual / corporate of the telephone number by referring to the holder identification flag of the telephone number database; Tallying individual telephone number points (C) under inclusion conditions, Tallying individual telephone number points (c) under inclusion conditions for each second section, and personal telephone numbers for each first section The distribution coefficient (g = (c + j2) / (C + J2) based on the number of points (C) and the number of address points (J2) and the number of telephone number points (c) and the number of address points (j2) of the individual for each second section. )) And a step of allocating the statistical data of each of the first sections by the distribution coefficient (g) to obtain statistical data of each of the second sections.

The present invention according to claim 6 is a program for creating detailed statistical data, which causes a computer to execute the method according to any one of claims 1 to 5.

According to a seventh aspect of the present invention, detailed statistical data such as population for each second section of a lower concept included in the first section is created from statistical data such as population compiled for each first section of a predetermined unit. A map data in which statistical data for each first section, addresses and coordinates are stored in one-to-one correspondence, and a telephone number in which telephone numbers and corresponding coordinates or addresses are stored. A data storage means for storing the database and the telephone number data from the telephone number database one by one, and by checking the coordinates or address corresponding to the data with the coordinates or address of the map data, the map data corresponding to the telephone number data Telephone number point obtaining means for obtaining the above coordinates as telephone number points, and first totaling means for totalizing individual telephone number points under the inclusion condition for each first section. Second counting means for counting the telephone number points of the individual on the basis of the inclusion condition for each second section, and the number of telephone number points (C) of the individual for each first section counted by these counting means and the second Distribution count obtaining means for obtaining a distribution coefficient (g = c / C) based on the number of telephone number points (c) of the individual for each section, and distributing the statistical data for each first section by the distribution coefficient (g). Statistical data distribution means for obtaining statistical data for each second section.

According to an eighth aspect of the present invention, detailed statistical data such as population for each second section of a lower concept included in the first section is created from statistical data such as population for each first section of a predetermined unit. A statistical data for each first section, map data in which addresses and coordinates are stored in one-to-one correspondence, an address database, telephone numbers and corresponding coordinates or addresses and holders. Data storage means for storing a telephone number database in which a discrimination flag is stored, and address data are read from an address database, and the coordinates are compared with the addresses in the map data to obtain corresponding coordinates on the map data as address points. Address point acquisition means and telephone number data are read out one by one from a telephone number database, and the corresponding coordinates or addresses are read out from the map data coordinates or And a telephone number point acquiring means for acquiring coordinates on the map data corresponding to the telephone number data as telephone number points by collating with the telephone number data, and a first means for totaling the address points (J1) under the inclusion condition for each first section. Counting means, a second counting means for counting the telephone number points (T1) of the individual and the corporation under the inclusion condition for each first section, and subtracting the telephone number point (T1) from the address point (J1). A first section address point calculating means for calculating a personal address point (J2) not telephone-registered for each first section, and a step of totaling address points (j1) for each second section under inclusion conditions; Third counting means for counting the telephone number points (t1) of the individual and the corporation by the inclusion condition for each second section, and subtracting the telephone number point (t1) from the address point (j1). A second address point calculating means for calculating a personal address point (j2) for which no telephone registration has been made for each section, and discrimination for discriminating the individual / corporate of the telephone number with reference to the holder discrimination flag of the telephone number database. Means, fourth counting means for counting individual telephone number points (C) based on inclusion conditions for each first section, and total number of phone number points (c) for individuals based on inclusion conditions for each second section. Fifth counting means, the number of telephone number points (C) and the number of address points (J2) of the individual for each first section, and the number of telephone number points (c) and the number of address points of the individual for the second section ( j2), and a distribution count obtaining means for obtaining a distribution coefficient (g = (c + j2) / (C + J2)) based on the distribution coefficient (g). Statistical data to obtain statistical data Data distribution means.

According to the present invention, detailed statistical data can be easily created by assuming an arbitrary area as a trade area using a telephone number database, and can be used as effective data especially when a small or medium-sized store is opened. it can.

In addition, since the tendency to not register a telephone number has become stronger in recent years due to lifestyle and security concerns, the correction process is performed using address data in a secondary manner. Detailed statistical data can be obtained.

Hereinafter, the best mode for carrying out the present invention will be described in detail.

<< Example 1 of the present invention will be described in detail below. This embodiment relates to a method and means for creating small section statistical data by using the GIS method using map data, large section statistical data, and a telephone number database as original data. In the present embodiment, specifically, 500 m mesh statistical data is used as large section statistical data, and 100 m mesh statistical data is created as small section statistical data.

GIS is a technology that comprehensively manages and processes data with spatial information (spatial data) based on geographical position, displays it visually, and enables advanced analysis and quick judgment. is there. FIG. 1 is a configuration diagram of a system 10 using the GIS technique, and also shows an image of output data. Here, the GIS basic processing means 18 includes resource management such as the database 22 of the present system and memory management managed by the GIS itself, and the distribution calculation means 16, the subdivision processing means 12, and the correction processing means 14 which are applied applications of the GIS. It performs basic processing such as commissioning of a cooperative processing request from. The main memory area managed by the GIS is referred to as a GIS management memory 20 here.

大 Here, the large section and the small section will be described. The large section is a section of an administrative unit, a town block, or a municipal unit in the case of an irregular shape, and a section (a unit of a mesh unit) divided into 500 m and 1 km square in the case of a fixed form. The small section means a section in a block unit or a section divided into 50 m and 100 m squares (a section in a mesh unit smaller than a large section).

In the map data, addresses, houses, facilities, roads, railroads, rivers, and the like are stored in a database together with the corresponding coordinates, and are read out by GIS and read out from the GIS. ) And can be displayed as a map on a display (FIG. 7). In addition, there are two types of map data: irregular and regular (FIG. 1). The irregular map data 223 is, for example, map data in units of administrative units, town blocks, municipalities, or irregular areas. The standard map data 224 is, for example, map data in units of 500 m or 1 km mesh. FIG. 7 shows an example of map data including an example of its data structure. The house map is also map data, in which addresses of individual buildings and corresponding coordinates are stored in a one-to-one relationship. The map data has polygon data (consisting of a series of coordinate data forming a closed surface) that defines the boundary of each section (large section and small section).

Note that address data 226 with coordinates, which will be described later, can also be considered as a type of map data because addresses and corresponding coordinates are stored in a one-to-one relationship. It can be used as map data.

There are two types of statistical data: irregular and standard (Fig. 1). The irregular-shaped large section statistical data 221 is, for example, statistical data in a town block or irregular-shaped area unit. The fixed large section statistical data 222 is, for example, statistical data in units of 500 m or 1 km mesh. Speaking of the 500m mesh statistical data, it is data such as population (including population classified by age, gender, day / night, etc.), etc. aggregated for every 500m mesh. Is provided as estimation data in consideration of population migration. The 500m mesh statistical data used in the present invention is mainly a population living in each 500m mesh. However, when data such as income, classification of owning / leasing, possession of a private car, etc. are included, These can also be converted (allocated) to small mesh statistical data. FIG. 8 shows an example of the statistical data including an example of the data structure.

FIG. 2 is a flowchart showing a processing procedure for creating statistical data (FIG. 16) for each small section by this system. Hereinafter, a small mesh statistical data creating processing procedure according to this embodiment will be described with reference to this flowchart. .

First, step 1 will be described. The telephone number database is commercially available, and contains a list of individuals or corporations as shown in FIG. 9. From the viewpoint of privacy protection, the use of individual telephone numbers must be particularly careful. Some have coordinates corresponding to the address of the holder of the telephone number, and some do not. This system uses only the coordinates or address and does not require a holder name, so there is no risk of privacy leaking.

Since addresses and coordinates are stored in the map data in a one-to-one correspondence, the GIS basic processing means 18 sequentially reads out one telephone number data from a commercially available telephone number database, and reads the coordinates or the coordinates of the data. By comparing the address character string with the coordinates of the map data or the address character string (matching process), the corresponding coordinates can be known, and the coordinates are converted into telephone number points held as coordinates on the map data. This process is called Geocoding in GIS. A telephone number database 225 is created by collecting these telephone number points and stored in the GIS storage database. The telephone number database 225 is created, for example, when the system is introduced or when the database is updated.

In this system, since it is necessary to use telephone number data corresponding to both personal and corporate telephone numbers, a personal / corporate identification flag in a commercially available telephone number database is also included in the data structure of telephone number points ( (FIG. 9). However, in this system, it is determined whether an individual or other, and not only a corporation in a strict sense, but also any other entity such as an arbitrary organization, a private store, or unknown is treated as a "corporation".

Next, in step S2, the GIS basic processing means 18 reads predetermined map data 223, 224 from the GIS storage database 22 into the GIS management memory 20. The read data can be displayed on a display within a predetermined range by the GIS basic processing means 18 or a separate drawing processing application. FIG. 12 shows an example of a display screen on which a house map is drawn.

In step S3, the GIS basic processing means 18 reads a telephone number point in a predetermined section from the telephone number database 225 of the GIS storage database 22 into the GIS management memory 20. FIG. 13 shows a display display screen in which the telephone number points read by the GIS basic processing means 18 in step S3 are arranged on the house map of FIG. 12 and synthesized.

Next, the distribution calculating means 16 determines the relationship between the statistical data section (large section) used as the original data and the statistical data section (small section) to be created, that is, in the polygon data of the large section of the map data. In step S4, it is determined whether or not the subsections need to be further subdivided based on the state of intersection between the boundary lines forming the polygon and the boundary lines between the subsections. In this embodiment, since the 500-m mesh statistical data is to be converted into the 100-m mesh statistical data, the subdivision process is unnecessary (No: S4). The subdivision processing will be described later in detail.

Then, the distribution calculating means 16 determines only the telephone number points of the individual extracted by the GIS basic processing means 18 with reference to the holder identification flag (individual / corporate classification flag) of the telephone number database 225 in the GIS storage database 22. The number of personal telephone number points C is calculated by counting the number of personal telephone number points for each 500 m mesh (step S6), and the number of personal telephone number points extracted in the same manner as above is set to 100 m. The number of individual telephone number points is counted for each mesh to determine the number 100 m of individual telephone number points c (step S7), and distributed based on the number C of 500m individual telephone number points and the number c of 100m individual telephone number points. The coefficient g is determined by g = c / C (step S8).

In order for the distribution calculating means 16 to obtain the personal telephone number point numbers C and c, map data of a predetermined area having telephone number point data (corresponding to the display screen of FIG. 13) in cooperation with the GIS basic processing means 18 ) Is divided in units of meshes, and the telephone number points are totaled by the inclusion condition for each mesh. The “inclusion condition” is a geometric totaling method provided by the GIS basic processing means, and is an object (in this case, a telephone number point) surrounded by a series of coordinate groups constituting the polygon data of the map data 223 and 224. (In a pure RDBMS (relational database management system), which can only be calculated by an exact match of an address character string or a coordinate character string). "Cannot search). That is, the number C of 500 m mesh telephone number points is obtained by counting the telephone number points in each mesh in the map data (corresponding to the display screen of FIG. 14) divided by the 500 m mesh (step S 6). By counting the telephone number points in each mesh in the map data (corresponding to the display screen of FIG. 15) delimited by, the number c of 100 m mesh telephone number points is obtained (step S7). Note that, in practice, before step S6 for calculating the specific phone number point C of the specific 500 m mesh, step S7 is performed in advance, and the personal phone number point count c of each 100 m mesh in the specific 500 m mesh is performed. , And step S6 may be performed by obtaining the sum of these.

If the distribution calculating means 16 distributes the 500-m mesh statistical data read out to the GIS management memory 20 in cooperation with the GIS basic processing means using the distribution coefficient g obtained in step S8, statistical data for each 100-m mesh can be obtained. (Step S9).

FIG. 16 shows a display screen on which a population map for each 100 m mesh is displayed on a house map in the same area as above based on the 100 m mesh demographic data obtained in step S9, and the detailed population distribution and uneven distribution are clearly apparent. Therefore, the trade area can be used as useful judgment data in the planning of opening a small restaurant. In FIG. 16, as the density of the 100 mesh section increases, the population distribution of 1 to 100 people, 101 to 250 people, 251 to 550 people, and 5511 to 3000 people is shown. The division indicates that the distribution coefficient g = 0 and it is determined that the division does not have a population distribution.

For comparison, on a display screen (FIG. 17) displaying the population distribution for each 500 m mesh on a residential map of the same area based on the commercially available 500 m mesh demographic data used as the original data, the details of the population distribution were completely removed. It cannot be grasped, and it is understood that it is not useful when opening a store in a small commercial area.

The above embodiment converts the 500-m mesh statistical data into the 100-m mesh statistical data. In a simple manner, 25-fold detailed data can be obtained. According to the present invention, the detailed data can be obtained in arbitrary mesh units. Data can be obtained, and detailed statistical data required according to the application can be easily created.

In the above embodiment, the number C of telephone number points included in a certain 500 m mesh is equal to the total number of telephone number points c1, c2,... Cn included in 25 100m meshes therein. This also applies to the case where statistical data for each block included in the town is created using the town statistical data as the original data (in principle, because the time when the town map and the block map are created is different, If the boundaries do not coincide with each other, the same applies (except for the regions where the boundaries themselves are undetermined, the regions where the house display maintenance is not completed, etc.). In such a case, the subdivision processing (step S4 in FIG. 2) of a small section (100 m mesh or block) as described below is unnecessary.

However, if it is intended to create block statistical data using mesh-scale statistical data as original data, or to create small mesh statistical data such as a 100 m mesh from town-cho statistical data, large sections of the original data may be used. Does not match the aggregate of the small sections of the converted data, so that in the area around the large section, there are small sections spanning a plurality of large sections.

FIG. 3 is a flowchart showing the subdivision processing performed in step S5 in FIG. 2. Hereinafter, the subdivision processing in the case where small mesh statistical data such as a 100-m mesh is to be created from the town statistic data is shown in FIG. A description will be given based on the flowchart of FIG.

As illustrated in FIG. 18, the indefinite-shaped town-cho section A is a 100-m section that exists between a mesh section included in the surface and adjacent town-cho sections B, C, D, and E. And a mesh section. Therefore, in step S5-1, the subdivision processing unit divides the latter 100-m mesh section at the boundary of the town. For example, since the 100-m mesh section M in FIG. 18 exists between the town section A and the town section A, the section M is included in the town section A and the section MB included in the town section B. Divided into

Then, in step S5-2, the subdivision processing means 12 adds the discrimination code (choice code, street address, etc.) of the town A to the section MA, and discriminates the town B of the section MB to the section MB. Add code.

When such subdivision processing is performed, in step S7 in the flowchart of FIG. 2, the distribution calculation unit 16 determines that the small partitions completely included in the large partition to be processed are the same as in the above-described embodiment. The number c of the telephone number points arranged in the small section is counted. For the small section existing over the other adjacent large section around the large section to be processed, the large section to be processed is included in the small section. For only the subdivisions included in the division A, the number of telephone number points arranged in the subdivision MA is counted. That is, regarding the above-mentioned 100 m mesh section M, the number of phone number points ca in the subdivision MA is counted when the town A is to be processed, and the number of phone number points ca is counted in the subdivision MA when the town B is to be processed. Is counted.

According to such processing, in step S8 in the flowchart of FIG. 2, the statistical data of the subdivision MA is obtained when the town A is to be processed, and the statistical data of the subdivision MB is obtained when the town B is to be processed. Since the statistical data is obtained, the statistical data of the 100-m mesh section M can be obtained by adding the statistical data of these subdivision sections MA and MB.

別 Another embodiment of the present invention will be described in detail below. In this embodiment, an address database 226 is added to the above-described map data 223, 224, statistical data 221, 222 for each large block, a telephone number database 225, and treated as original data, and the GIS method is used. In addition, the present invention relates to a method and means for creating statistical data of small sections with higher accuracy. In this embodiment, either the fixed map data 224 or the irregular map data 223 can be used as the map data, and either the fixed form 222 or the irregular form 221 is used as the statistical data for each large section. Then, statistical data (FIG. 16) for each small section is created.

In the system according to this embodiment, in an area where the registration rate of personal telephone numbers is considered to be low, an area where the number of personal telephone registrations is 0 may appear when viewed in a small section. Since the distribution coefficient (g) becomes 0, there is a concern that the accuracy will be greatly reduced if detailed statistical data is created by simply allocating and weighting the number of points of personal telephone number data placed on the map. Therefore, even in such a case, in order to improve the accuracy, the correction process is performed by adding another element (an address point that does not have a telephone number point but can be guessed to be an individual, as described later). .

FIG. 4 is a flowchart showing a procedure for creating statistical data for each small section with correction processing by the system of this embodiment. Hereinafter, the procedure for creating small mesh statistical data will be described with reference to this flowchart.

First, the GIS basic processing means 18 sequentially reads out one piece of address data from a commercially available address database with coordinates in CSV format, and stores the coordinates of the address data (having the absolute coordinates of the origin) on the map data as coordinates. (Coordinate matching processing), and this is stored as an address point (GeoCoding processing). In the case of an address database without coordinates, the address character strings of the address database are sequentially read out, and a matching process between the address character strings and the address character strings of the map data is performed, so that the corresponding coordinates on the map data are obtained. Since it can be known, it is possible to hold these coordinates as address points. These address points are put together to create an address database 226 and stored in the GIS storage database 22. The address database 226 is created, for example, when the system is introduced or the database is updated, similarly to the creation of the telephone number database 225. However, although the address database 226 includes both individual / corporate address data, since there is no individual / corporate determination flag, it is not possible to grasp the address points for each individual / corporate.

In step S102, as in step S1, a telephone number database 225 in which telephone number points are collected on a GIS storage database from a commercially available telephone number database is created.

In step S103, the GIS basic processing means 18 reads map data of a predetermined large section from the GIS storage database 22 into the GIS management memory 20. In this step, if the large block is a fixed form (500 m or 1 km mesh unit), the fixed block map data (500 m or 1 km mesh map data) is used for the large block, and the large block is an irregular form (town block or irregular area unit). In the case of (1)), the map data of the large section is read out (in the unit of town or street).

In step S104, the GIS basic processing means 18 reads an address point in a predetermined section from the address database 226 of the GIS storage database 22 into the GIS management memory 20. Similarly, in step S105, the GIS basic processing means 18 reads a telephone number point in a predetermined section from the telephone number database 225 of the GIS storage database 22 in the GIS management memory 20.

Next, the distribution calculation means 16 determines in step S106 whether or not the correction processing is necessary in the predetermined large section. For example, the distribution calculating means 16 reads out the number of households D in the statistical data of a predetermined large section from the GIS storage database 22 to the GIS management memory 20 and also stores the holder identification flag (individual / corporate flag) in the telephone number database 225. ) Is read out into the GIS management memory 20 and the telephone number registration rate R is calculated by R = C / D based on the total number C, and is set to a reference value (for example, 60%). If the telephone number registration rate is less than the reference value, it can be determined that correction processing is necessary.

If it is determined in step S106 that the correction process is unnecessary, the process of the distribution coefficient calculation step S107 without correction is executed based on the flowchart of FIG.

In step S107-1, the number C of personal telephone number points is obtained under the inclusion condition for each large section, here, every 500m mesh, and in step S107-2, for each fixed small section using the result of the aggregation process in step S107-1. The number c of the telephone number points of the individual is obtained, and the distribution coefficient g is obtained by g = c / C in step S107-3. Here, S107 ends, and the process returns to the flow of FIG. 4 and proceeds to step S108.

In step S108, first, the statistical data of the large section is read. When the large section is a fixed form (500 m or 1 km mesh unit), the fixed form (500 m or 1 km mesh) statistical data 222 is used. The statistical data 221 is read out (in units of area). For example, the standard 500 m mesh statistical data is read. Then, by multiplying the read statistical data by the distribution coefficient g, detailed statistical data (FIG. 16) for each small section, for example, for every 100 m mesh is obtained.

When it is determined in step S104 that the correction processing is necessary, the processing of the distribution coefficient calculation step S107 'with correction is executed based on the flowchart of FIG.

In the correction process for calculating the distribution coefficient with correction, the address points in the predetermined section read from the address database 226 into the GIS management memory 20 in step S104 are used. That is, when it is determined in step S106 that the correction process is necessary, an address point of the individual (in other words, the number of personal addresses not registered in the telephone) that does not overlap with the telephone number point of the individual is calculated as the correction source number. . The telephone number database 225 has a flag for identifying the individual / corporate of the telephone number point, but the address database 226 does not have a flag for identifying the individual / corporate of the address point. Then, from all the address point data in the predetermined section, the address data that matches with the telephone number point data of the corporation determined based on the determination flag by the coordinate matching is subtracted, and the data that can be presumed to be the address data of the individual is determined ( FIG. 11- (2)). Considering this assumption, it is considered that almost 100% of corporations have registered telephone numbers, so the number of address points and the number of telephone number points for corporations are almost the same. 11- (1)).

Then, the number of correction points is obtained by subtracting the telephone number point of the individual from the address point of the individual calculated in this way by coordinate matching. (FIG. 11- (1)), it follows that the number of correction sources = (total number of address points in a predetermined section) − (total number of telephone number points in the same section). FIG. 11- (3)).

Note that the subtraction in FIGS. 11- (1) and (2) is not a subtraction of the total number but an element that is matched by coordinate matching. The address point on the GIS always has one coordinate in one-to-one correspondence with the address, but a plurality of telephone number points can exist on the same address (coordinate). 1: N. However, in subtraction by coordinate matching, even if there are two or more telephone number points at the same coordinates as the coordinates of a certain address point, it is considered that only one point coordinate is to be matched. The result of subtracting the points is 0 instead of -1.

Also, since the addresses (coordinates) of the address database 226 are given for each building, there is only one address in a huge condominium where, for example, 300 households live. However, even if the telephone registration rate is approximately 60%, about 180 households are registered as telephones in this apartment, that is, 180 telephone number data are overlapped with an address on one coordinate. In such a large-scale apartment house, the number of correction sources = “individual address points not registered with the telephone” is calculated as 0 by using the expression (3) in FIG. 11, and the correction processing in step S107 ′ is actually performed. Absolutely not meaningful.

On the other hand, as described above, in an area where a large number of single-family houses and one-room apartments are located, if the “personal address points not registered by telephone” are not considered, the area where the distribution coefficient g = 0 when viewed in small parcels May appear. This is because, in recent years, from the viewpoint of lifestyle and crime prevention, there is a strong tendency that telephone registration is not performed (no telephone number is posted). For example, if all the single-family houses in a small parcel have no telephone registration, the telephone number point (c) in the small parcel becomes 0 even though the address (population) actually exists. , The distribution coefficient g also becomes g = 0, resulting in a distribution result with a large error. Also, in the case of a one-room apartment in which most of single-family residents are the majority of apartment houses, there is a possibility that all residents do not have telephone registration, and similarly, there is a possibility that a large error occurs in the distribution coefficient g. is there. In such an area, by performing the correction processing in step S107 #, a positive value is given to the distribution count g, and it is possible to create highly accurate detailed statistical data by proper distribution.

In accordance with the method of calculating the number of distribution sources (FIG. 11), in step S107′-1, from all address points J1 including both individuals / corporations that meet the inclusion condition for each large block to all including both individuals / corporations Is subtracted by coordinate matching, and the large section correction source number J2 is totaled.

In step S107'-2, the distribution source number which is the result of subtracting all the telephone number data t1 including both the individual and the corporation from all the address points j1 including both the individual and the corporation satisfying the inclusion condition for each subdivision. Get j2. Step S107'-2 may be performed in advance, and the step S107'-1 may be performed by calculating the total sum of the distribution source numbers j2 of the respective small sections and setting it as J2.

Then, in step S107'-3, the number C1 of individual telephone number points is obtained under inclusion conditions for each large section, the number c1 of 100-m mesh telephone number points is obtained in step S107'-4, and the distribution coefficient is calculated in step S107'-5. g is obtained by g = (c1 + j2) / (C1 + J2). Also in this case, step S107'-4 is performed in advance, and the total sum of the telephone number point numbers c1 of the respective small sections is obtained and set as the large section telephone number point number C1, so that step S107'-3 is performed. Is also good.
This is the end of S107 ′, and returns to the flow of FIG.

FIG. 19 illustrates a telephone number point and an address point in a certain section arranged on map data for comparison between the presence and absence of correction processing. In this figure, a triangle symbol represents an address point, a circle symbol represents a telephone number point, and a place where a triangle symbol in a house can be seen is only an address point. Every building that has a phone number point also has an address point (the triangle symbol is hidden behind a circle symbol).

集 計 In this section, if all address points or telephone number points are supposed to be personal, and they are totaled, there are 31 (= 23 + 8) address points and 23 telephone number points. Here, in the case where the correction processing is performed, the precision of 1.35 times (= 31/23) is obtained as compared with the case where the correction processing is not performed, and it can be seen that the distribution coefficient can be obtained with extremely high precision.

This embodiment is applied to a case where fixed-form small section statistical data is created from the large-sized statistical section data 221, and a case where unfixed small-section statistical data is created from the fixed large section statistical data 222. At times, it is necessary to perform the segmentation processing as described in the first embodiment. The subdivision processing in this case can be performed in the same manner as described in detail with reference to step S5 in the flowchart in FIG. 2 and the flowchart in FIG.

The detailed statistical data created by the present invention is used not only to grasp the scale of the commercial area when opening a retail business or a restaurant as described above, but also for administrative analysis such as city planning and disaster prevention. It can be used effectively.

1 is a schematic configuration diagram of a detailed statistical data creation system according to the present invention. 6 is a flowchart illustrating a detailed statistical data creation processing procedure according to an embodiment of the present invention. It is a flowchart of the subdivision process in FIG. It is a flowchart which shows the detailed statistical data creation processing procedure by another embodiment of this invention. 5 is a flowchart illustrating a processing procedure of a distribution coefficient calculation step without correction in FIG. 4. 5 is a flowchart illustrating a processing procedure of a distribution coefficient calculation step with correction in FIG. 4. It is a figure showing the data structure of map data. It is a figure showing the data structure of statistical data. It is a figure which shows the data structure of a telephone number database, and an example. It is a figure showing the data structure and example of address data with coordinates. FIG. 4 is an explanatory diagram showing a relationship between address data of individual / corporation and telephone number data. It is a figure which shows an example of the display screen on which the house map was drawn. It is a figure which shows the display display screen which arrange | positioned the telephone number point on the house map. It is a figure showing a display screen at the time of counting a telephone number point for every 500m mesh. It is a figure showing a display screen at the time of counting a telephone number point for every 100m mesh. It is a figure which shows the display display screen which displayed the population distribution for every 100m mesh on the house map. It is a figure which shows the display display screen which displayed the population distribution for every 500m mesh on the house map. It is explanatory drawing which shows the relationship between an irregular large section and a fixed small section. FIG. 3 is a diagram in which telephone number points and address points in a certain section are arranged on map data.

Explanation of reference numerals

10. This system (GIS management area)
12 Subdivision processing means 14 Correction processing means 16 Allocation calculation means 18 GIS basic processing means 20 GIS management memory 22 GIS storage database 221 Irregular large section statistical database 222 Regular large section statistical database 223 Irregular map data 224 Regular map data 225 Telephone Number database 226 Address database

Claims (8)

A method of creating detailed statistical data such as population of each second section of a lower concept included in the first section from statistical data such as population aggregated for each first section of a predetermined unit, comprising:
Obtaining statistical data for each first section;
Obtaining map data in which addresses and coordinates are stored in one-to-one correspondence,
Obtaining a telephone number database in which telephone numbers and corresponding coordinates or addresses are stored;
By reading out the telephone number data one by one from the telephone number database and checking the corresponding coordinates or addresses with the coordinates or addresses of the map data, the coordinates on the map data corresponding to the telephone number data are obtained as telephone number points. Steps and
Totaling the telephone number points (C) of the individual with the inclusion condition for each first section;
Counting the telephone number points (c) of the individual with the inclusion condition for each second section;
Obtaining an allocation coefficient (g = c / C) based on the number of personal telephone number points (C) for each first section and the number of personal telephone number points (c) for each second section;
Allocating statistical data for each of the first sections by an allocation coefficient (g) to obtain statistical data for each of the second sections;
A method for creating detailed statistical data, characterized in that: The method according to claim 1, wherein the first section is a section of a town block or a unit of a mesh, and the second section is a section of a block. It is characterized in that the first section is a section in a town block or a mesh unit, and the second section is a section in a mesh unit smaller than the town block or the mesh of the first section, and statistical data for each small mesh is obtained. The method of claim 1, wherein: When there is a second section spanning a plurality of first sections,
Dividing the second section into a plurality of subdivisions by a boundary of the first section;
Totaling the telephone number points (ta) and (tb) of the individual under the inclusion condition for each of the plurality of subdivisions;
Obtaining detailed statistical data for each of the subdivisions by summing the detailed statistical data for each of the subdivisions obtained based on the telephone number points (ta) and (tb) of the individual for each of the subdivisions;
2. The method according to claim 1, wherein the method is executed by a computer. A method of creating detailed statistical data such as population of each second section of a lower concept included in the first section from statistical data such as population aggregated for each first section of a predetermined unit, comprising:
Obtaining statistical data for each first section;
Obtaining map data in which addresses and coordinates are stored in one-to-one correspondence,
Obtaining an address database;
Reading the address data from the address database and obtaining the coordinates on the corresponding map data as address points by comparing the address data with the addresses in the map data;
Obtaining a telephone number database storing a telephone number and coordinates or addresses corresponding to the telephone number and a holder identification flag;
By reading out the telephone number data one by one from the telephone number database and checking the corresponding coordinates or addresses with the coordinates or addresses of the map data, the coordinates on the map data corresponding to the telephone number data are obtained as telephone number points. Steps and
Totaling the address points (J1) by the inclusion condition for each first section;
Totaling telephone number points (T1) of individuals and corporations by inclusion conditions for each first section;
Subtracting the telephone number point (T1) from the address point (J1) to calculate a personal address point (J2) for which telephone registration has not been performed for each first section;
Totaling the address points (j1) by the inclusion condition for each second section;
Totaling telephone number points (t1) of individuals and corporations by inclusion conditions for each second section;
Subtracting the telephone number point (t1) from the address point (j1) to calculate a personal address point (j2) for which telephone registration has not been performed for each second section;
Discriminating the individual / corporate of the telephone number with reference to the holder identification flag of the telephone number database;
Totaling the telephone number points (C) of the individual with the inclusion condition for each first section;
Counting the telephone number points (c) of the individual with the inclusion condition for each second section;
Distribution based on the number of personal telephone number points (C) and the number of address points (J2) for each first section and the number of personal telephone number points (c) and address points (j2) for each second section. Determining a coefficient (g = (c + j2) / (C + J2));
Allocating statistical data for each of the first sections by an allocation coefficient (g) to obtain statistical data for each of the second sections;
A method for creating detailed statistical data, characterized in that: A program for creating detailed statistical data, the program causing a computer to execute the method according to any one of claims 1 to 5. An apparatus for creating detailed statistical data such as population for each second section of a lower concept included in the first section from statistical data such as population aggregated for each first section of a predetermined unit,
Statistical data for each first section, map data storing addresses and coordinates in one-to-one correspondence, and data storing telephone number databases storing telephone numbers and corresponding coordinates or addresses. Storage means;
By reading out the telephone number data one by one from the telephone number database and checking the corresponding coordinates or addresses with the coordinates or addresses of the map data, the coordinates on the map data corresponding to the telephone number data are obtained as telephone number points. Phone number point acquisition means,
First counting means for counting telephone number points of individuals according to the inclusion condition for each first section;
Second counting means for counting individual telephone number points based on the inclusion condition for each second section;
An allocation coefficient (g = c / C) based on the number of personal telephone number points (C) for each first section and the number of personal telephone number points (c) for each second section, which are totaled by these totaling means. ) For obtaining the distribution count;
Statistical data allocating means for allocating statistical data for each of the first sections by a distribution coefficient (g) to obtain statistical data for each of the second sections;
An apparatus for creating detailed statistical data, comprising: An apparatus for creating detailed statistical data such as population for each second section of a lower concept included in the first section from statistical data such as population aggregated for each first section of a predetermined unit,
Statistical data for each first section, map data in which addresses and coordinates are stored in one-to-one correspondence, an address database, telephone numbers, corresponding coordinates or addresses, and a holder identification flag are stored. Data storage means for storing the telephone number database,
Address point acquisition means for reading address data from the address database and comparing the address data with the address of the map data to acquire coordinates on the corresponding map data as address points;
By reading out the telephone number data one by one from the telephone number database and checking the corresponding coordinates or addresses with the coordinates or addresses of the map data, the coordinates on the map data corresponding to the telephone number data are obtained as telephone number points. Phone number point acquisition means,
First tallying means for tallying the address points (J1) with the inclusion conditions for each first section;
Second counting means for counting the telephone number points (T1) of the individual and the corporation by the inclusion condition for each first section;
Address point calculation means for subtracting the telephone number point (T1) from the address point (J1) to calculate a personal address point (J2) for which telephone registration has not been performed for each first section;
Totaling the address points (j1) by the inclusion condition for each second section;
Third totaling means for totaling telephone number points (t1) of individuals and corporations by inclusion conditions for each second section;
A second section address point calculating means for subtracting the telephone number point (t1) from the address point (j1) to calculate a personal address point (j2) not registered for each second section;
Discriminating means for discriminating an individual / corporate of a telephone number by referring to a holder identification flag in a telephone number database;
A fourth counting means for counting the telephone number points (C) of the individual according to the inclusion condition for each first section;
Fifth counting means for counting the telephone number points (c) of the individual on the basis of the inclusion condition for each second section;
Distribution based on the number of personal telephone number points (C) and the number of address points (J2) for each first section and the number of personal telephone number points (c) and address points (j2) for each second section. Distribution count obtaining means for obtaining a coefficient (g = (c + j2) / (C + J2));
Statistical data allocating means for allocating statistical data for each of the first sections by a distribution coefficient (g) to obtain statistical data for each of the second sections;
An apparatus for creating detailed statistical data, comprising:

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