JP2016054002A - Individual fundamental information concealing program and individual fundamental information concealing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve problems in the prior art, that is, to provide an individual fundamental information concealing program and an individual fundamental information concealing device which are capable of, in a summing-up process for a mesh having few subjects, summing up after automatically considering socially or topographically significant regions.SOLUTION: The individual fundamental information concealing program causes a computer to execute a concealing process of "individual fundamental information" (information representing individuals or households including location information), and comprises: a distinguished area reading process to read out "distinguished areas" set in advance in a prescribed range; and an including block selection process to select an including block suitable for a concealed block on the basis of the distinguished areas. Of the processes, the including block selection process selects the including block from unit blocks in the distinguished area including all (or part) of the concealed block.SELECTED DRAWING: Figure 2

Description

  The present invention relates to concealment of information that can identify an individual. More specifically, when displaying the number of subjects for each mesh, such as a household distribution chart, concealment when adding up the mesh so that the individual is not identified Is related to the conversion process.

  Population distribution charts and household distribution charts often divide predetermined ranges with meshes, count the number of populations and households (the number of subjects) included in each mesh, and display them in different colors according to the number of themes for each mesh. . Such a distribution map is easy to use and easy to use because the distribution of the subject can be seen from a bird's-eye view and intuitively. It is widely used not only for administrative purposes such as crime prevention purposes and regional planning, but also for commercial purposes such as various marketing.

  Traditionally, when analyzing population and households, it has been mainstream to use the results of the census. However, the national census was conducted once every five years and lacked accuracy in terms of grasping the current situation. In addition, since the population compiled for every 5 years is published in the small area statistics, the purpose of the national census fulfills its purpose when determining the number of junior high school students in the area or the number of elementary school students enrolled in the next year. I couldn't.

  On the other hand, local governments have basic data on residents. Basic resident data includes information such as name, household number, gender, date of birth, and address. In principle, information is updated whenever there is a change in address or the like. Therefore, unlike the results of the national census, it is possible to analyze with the latest information, and it is also possible to perform detailed analysis such as grasping the population of a specific age. In other words, the basic resident data can be said to be suitable for the basic data of population distribution maps and household distribution maps.

  On the other hand, the basic resident data includes detailed information about individuals, so it can be said that it is unsuitable for public disclosure. In particular, since the name and address can be confirmed at one time, it is not appropriate to make it public as it is for the purpose of the “Act on the Protection of Personal Information”. Therefore, when various analysis results and statistical processing are disclosed, it is common to use data obtained by deleting the name from the basic resident data.

  As already mentioned, population distribution charts and household distribution charts display the number of themes for each mesh, and in the first place it is extremely rare that “name” is required. Even if it does, the big problem does not arise. Rather, if the basic resident data is used as a basis, a division map can be displayed for each age group and gender, so it can be used in more various situations.

  However, there are cases where problems still remain even when population distribution maps and household distribution maps are created using basic resident data from which names are deleted. This is because when the number of themes is very small, such as when only one household is included in a mesh, the household can be easily identified. For example, when a household distribution chart showing the number of households within a specific annual income range is disclosed, one household in the mesh is easily identified, and as a result, the annual income of the household is revealed.

  Thus, even if a population distribution chart or a household distribution chart is created after deleting the name information, if the number of themes in the mesh is extremely small, an individual may be identified indirectly. In order to solve such a problem, Patent Document 1 proposes a technique for abstracting position information.

JP 2011-123712 A

  Patent document 1 changes the location information of the subject according to the density of the residential layout, but in a depopulated area, the location accuracy is extremely deteriorated, and the population distribution map and household distribution map using a mesh There is a difficulty that it is difficult to use.

  Usually, in a local government, when there is a mesh with an extremely small number of subjects, a so-called summing process is performed in which the number of subjects is matched with a neighboring mesh. FIG. 4 is a model diagram for explaining a summation process currently being performed. In general, the summing process is performed in the following procedure. That is, a threshold is set for the number of themes in the mesh, and for meshes whose number of themes is less than the threshold, the meshes and neighboring meshes are combined, and the number of themes is also the sum of both.

  In the case of FIG. 4, the meshes having the number of households less than 3 are added together, and the meshes immediately above are added together in the order of the list. Specifically, since the number of households in C ward (here Oji ward) is 2, it is subject to addition, and similarly, since the number of households in E ward is 1, it is also subject to addition. Then, the C zone is added to the B zone immediately above the list, and the E zone is added to the D zone, resulting in a composite mesh as shown in FIG. However, looking at the autonomous districts, the districts C and D are the same municipalities and there are few problems in handling the meshes. However, the districts B and C are different autonomous districts and are handled after being combined. It is possible that a problem will occur. Originally, the C ward should be combined with the F ward of the same autonomous district.

  The problem of the present invention is to solve the problems of the prior art, that is, automatically when considering a region that is meaningful in terms of social or topographical conditions when adding up meshes with a small number of subjects. It is to provide an individual basic information concealment program and an individual basic information concealment device that can be combined.

  The present invention is an area that is different from the mesh, and focuses on an area that is meaningful in statistical processing, and is based on an idea that has not existed before. It is an invention made.

  The individual basic information concealment program of the present invention causes a computer to execute concealment processing of “individual basic information” (information representing an individual or a household including position information). Specifically, when allocating individual basic information for each unit block (one obtained by dividing a predetermined range into a plurality of planes) based on the position information, a unit block whose number of individual basic information is less than a threshold value is a “confidential block” The surrounding unit area of this concealment section is selected as the “inclusion section”, and the inclusion section and the concealment section are combined to create a “combined section”, and the concatenation section and the inclusion section The process of assigning individual basic information is executed. The individual basic information concealment program performs a discrimination area reading process for reading a “discrimination area” set in advance within a predetermined range, and an inclusion section selection process for selecting an inclusion section suitable for the concealment section based on the determination area. I have. Among these, the inclusion section selection processing selects an inclusion section from the unit sections in the determination area including the whole (or part) of the concealment section.

  The individual basic information concealment program of the present invention can set a discrimination area as an area set based on a school zone, a character district, a town block, an autonomous district, a town district, or a statistical survey district.

  The individual basic information concealment program of the invention of the present application can use a building conglomerate area set based on the distance between buildings as a discrimination area.

  The individual basic information concealment program of the invention of the present application can set a building conglomerate region set based on the distance between buildings and the building age as a discrimination region.

  The individual basic information concealment program of the present invention can set a region divided by roads, tracks, or rivers as a discrimination region.

  The individual basic information concealment program of the present invention can set a region divided according to altitude as a discrimination region.

  The individual basic information concealment program of the present invention can also select an inclusion section based on two or more discrimination areas with different inclusion section selection processing. In this case, the discrimination area reading process reads two or more different discrimination areas.

  The individual basic information concealment device of the present invention is a device that performs the “individual basic information” concealment measure. Specifically, when allocating the individual basic information for each unit block based on the position information, the unit block whose number of individual basic information is less than the threshold value is set as a “concealed block”, and the unit blocks around the concealed block Is selected as an “inclusive section”, and the combined section and the concealed section are combined to create a “combined section”, and the individual basic information of the concealed section and the included section is assigned to the combined section. The individual basic information concealment device includes a discrimination area storage unit that stores a “discrimination area” set in advance within a predetermined range, an area superimposing unit that superimposes the discrimination area on a unit section, and a concealment section based on the discrimination area The inclusion section selection means for selecting the inclusion section suitable for is provided. Among these, the inclusion section selection means selects the inclusion section from the unit sections in the determination area including the whole (or part) of the concealment section.

The individual basic information concealment program and the individual basic information concealment device of the present invention have the following effects.
(1) For example, even when creating a household distribution map that includes areas with a small number of households, personal households are not identified directly or indirectly, so they can be used for public purposes with peace of mind. .
(2) Even if the summation process for the purpose of concealment is performed, the socially or topographically meaningful area is maintained, so that the household distribution chart after the summation process can be used appropriately.
(3) Since no special judgment by a person is required, an error-free result due to a human error can be obtained, and a result can be easily obtained without requiring much labor.

The flowchart which shows the flow of the main processes in the individual basic information concealment program of this invention. Explanatory drawing which shows the method of overlapping a discriminant area | region on a unit division and selecting an "inclusion division". The block diagram which shows the main structures of the separate basic information concealment apparatus of this invention. The model figure explaining the summation process currently performed.

  An example of an embodiment of an individual basic information concealment program and an individual basic information concealment device according to the present invention will be described with reference to the drawings. Here, for convenience, an example of creating a household distribution map based on individual basic information for each household will be described.

1. Individual Basic Information Concealment Program FIG. 1 is a flowchart showing the main processing flow in the individual basic information concealment program of the present invention. The center column of FIG. 1 shows the processing to be performed, the left column shows input information necessary for the processing, and the right column shows output information generated from the processing. Note that the processing shown in this figure is specifically executed by a computer. Hereinafter, the present embodiment will be described with reference to these flowcharts.

(Individual basic information)
“Individual basic information” used in the present invention includes at least position information and is information representing an individual or a household. The individual basic information preferably does not include “name information” for the purpose of protecting personal information. Therefore, as shown in FIG. 1, when using the resident basic data, the attribute concealment process (Step 10) is performed to remove the attribute “name” from this data, and the individual basic information not including the name information is obtained in the subsequent processes. Used. Here, the basic resident data excluding the name is used as the individual basic information. However, the individual basic information used in the present invention is not limited to this, as long as it is information representing an individual or a household, including location information. Various information such as the results of the above or other survey results can be used.

  Individual basic information based on basic resident data has “address” as position information. Coordinate conversion based on this address is map coordinate addition (Step 20) in FIG. This coordinate conversion is called so-called address matching, and the input address is output as map coordinates using address dictionary data in which addresses and coordinates are associated in advance. That is, individual basic information including position information called map coordinates is output.

(Unit block and concealment block)
Next, the individual basic information is spatially arranged on the basis of the map coordinates, and is overlapped with a preset unit section (may be set at this timing). This unit section is a small area formed as a result of dividing a predetermined range into a large number of planes, and is called a “mesh”. In general, the mesh is divided into rectangles by a square lattice. However, the present invention is not limited to this, and meshes that are divided into planes in an arbitrary shape are also included in the mesh. Here, since the individual basic information represents a household, the position information is represented by “point”, and one unit section is represented by “surface”. That is, the individual basic information is included in one of the unit sections, and conversely, the unit section includes one or more pieces of individual basic information, and may not include any individual basic information.

  When the individual basic information is assigned to each unit section, a “confidential section” is extracted from the unit sections (Step 40). Specifically, a unit block to which the individual basic information is assigned is extracted, and further, a unit block whose number of individual basic information is below the threshold is extracted as a concealment block. In other words, the number of individual basic information is 1 or more and the threshold value or less (or less) is set as a concealment section.

(Distinguishing area)
When the concealment section is extracted, the “discrimination area” is then superimposed on the unit section (Step 50). Here, the discrimination area will be described. The discriminating areas are broadly classified into “social discriminating areas” having social significance and “terrain discriminating areas” set as topographical conditions.

  Examples of social discriminating areas include school districts (school districts), character boundaries, city blocks, self-governing districts, town districts, and statistical survey districts. Alternatively, a block in which buildings are gathered (hereinafter referred to as “architecture conglomerate area”) can be used as a social discrimination area. In this case, it is possible to make a building agglomeration area after certifying a predetermined range based on human judgment, or to make a building agglomeration area automatically obtained by cluster analysis based on the distance between buildings. it can. Furthermore, the building agglomeration area obtained by subdividing the building agglomeration area obtained by the distance according to the age of construction can also be used. There are cases where it can be differentiated into an area where detached houses that have existed for a long time have gathered and an area where relatively new apartment houses are concentrated, even though it can be seen as a single area. In such a case, an old building conglomerate area and a new architectural conglomerate area are set by setting a boundary in the building age.

  On the other hand, the topographic discrimination area can be, for example, an area delimited by roads, tracks, rivers, and the like. Alternatively, a stepwise elevation range can be set, and a topographic discrimination region can be provided for each range.

(Inclusive compartment)
When the discrimination area is set, an appropriate “included section” is selected for the concealment section extracted in Step 40 (Step 60). FIG. 2 is an explanatory diagram showing a method of selecting the “including section” by overlapping the discrimination area 20 on the unit section 10. In this figure, the discrimination area 20 is an autonomous district that is a social discrimination area. Further, the unit section 10 having the number of households (individual basic information) of less than 3 is extracted as the concealment section, that is, in FIG. 2, the section C that is the unit section 10 including only two households (hereinafter “concealment section”). 10C ") and E section (hereinafter referred to as" confidential section 10E "), which is a unit section 10 including only one household, are extracted.

  The middle part of FIG. 2 shows a state where the discrimination area 20 is superimposed on the unit section 10. From this figure, it can be seen that the concealment section 10C is included in the determination area 22 (autonomous community 2) and the concealment section 10E is included in the determination area 21 (autonomous community 1). Here, the inclusion section corresponding to the concealment section is selected from the determination area 20 including the concealment section. In other words, the combination of the concealment section and the inclusion section is included in the same determination area 20. Specifically, as shown in the lower part of FIG. 2, for the concealment section 10C, the unit section 10F (F section) is selected as the inclusion section, and for the concealment section 10E, the unit section 10D (D section). ) Is selected as the containing compartment.

  By the way, in the discrimination area 21 including the concealment section 10E, there are a unit section 10A (A section), a unit section 10B (B section), and a unit section 10D (D section) in addition to the section. That is, there are three candidates for the inclusion section for the concealment section 10E. In this case, it is possible to select another topographical discrimination region by overlapping. Of course, not only the topographic discrimination area but also other social discrimination areas may be overlapped. On the condition of a plurality of discriminating areas, unit sections included in all the discriminating areas including the target concealment section are set as inclusion sections. Alternatively, the barycentric position of the subject position (the household position in FIG. 2) in the unit block 10 can be obtained, and the unit block 10 having the barycentric position closest to the barycentric position of the concealment block can be extracted as an inclusion block.

(Combined division and total processing)
When the combination of the concealment section and the inclusion section is determined, a “combined section” is formed by combining these into one unit section (Step 70). Then, the total number of themes in the combined section, that is, the sum of the number of subjects in the concealed section and the number of themes in the inclusion section is set as a new number of themes (Step 80). Specifically, as shown in the lower part of FIG. 2, the number of subjects of the combined section 31 including the concealment section 10C and the unit section 10F (inclusion section) is 7 households, and the concealment section 10E and the unit section 10D (inclusion section). The number of subjects in the combined section 32 is 4 households.

(output)
When the combined section is formed and the summation process is also performed, it is finally output as a household distribution chart (or population distribution chart) (Step 90), and a series of processing is completed.

2. Individual Basic Information Concealment Device FIG. 3 is a block diagram showing the main configuration of the individual basic information concealment device 400 of the present invention, and also shows a series of flow up to the combination / summation processing. The actual individual basic information concealment device 400 will be described below with reference to this block diagram.

  First, the resident basic data is read from the resident basic data storage unit 401, the attribute concealment process for removing the name information is performed, and this is stored in the individual basic information storage unit 402 as individual basic information. Next, address dictionary data (address and map coordinate correspondence table) is read from the address dictionary data storage means 403, and map coordinates are given in comparison with the address of the individual basic information. The individual basic information having map coordinates is assigned to the unit section read from the mesh data storage unit 404, and the concealment section is extracted based on the threshold value read from the threshold value storage unit 405. The extracted concealment section is stored in the concealment section storage means 406. The discrimination area is read out from the discrimination area storage unit 407, and the discrimination area is superimposed on the set in the unit zone where the concealment zone is clarified by the area superimposing unit. Then, the inclusion section suitable for the concealment section is selected by the inclusion section selection unit, and the concealment section and the inclusion section are combined to form a combined section, and a summation process is performed to obtain the subject of the concealment section and the inclusion section. Count the sum of numbers. Finally, a household distribution map (or population distribution map) is output, and a series of processing is completed.

  The individual basic information concealment program and the individual basic information concealment device of the present invention can be particularly effectively used for creating a division diagram such as a population distribution diagram and a household distribution diagram. It can also be used for classification charts that require careful handling of information, such as household division charts by asset or annual income.

10 unit section 20 discrimination area 31 (composed of C ward and F ward) combined section 32 (composed of E ward and D ward) combined section 400 actual individual basic information concealment device 401 resident basic data storage unit 402 individual basic information storage Means 403 Address dictionary data storage means 404 Mesh data storage means 405 Threshold value storage means 406 Concealment section storage means 407 Discrimination area storage means

Claims (3)

When individual basic information representing an individual or household including location information is allocated to each unit division obtained by dividing a predetermined range into a plurality of planes based on the position information, the unit division whose number of individual basic information is less than a threshold value is concealed And a unit section around the concealment section is selected as an inclusion section, and a combined section is created by combining the inclusion section and the concealment section, and the concealment section and the inclusion section are included in the combination section. A program for causing a computer to execute processing for assigning individual basic information,
A determination area reading process for reading a predetermined determination area within the predetermined range;
An inclusion section selection process for selecting the inclusion section suitable for the concealment section based on the determination area; and
The individual basic information concealment program characterized in that the inclusion section selection processing selects the inclusion section from the unit sections in the determination area including all or part of the concealment section.   2. The individual basic information concealment according to claim 1, wherein the discrimination area is an area set based on a school district, a character district district, a town district, an autonomous district, a town district district, or a statistical survey district. Program. When individual basic information representing an individual or household including location information is allocated to each unit division obtained by dividing a predetermined range into a plurality of planes based on the position information, the unit division whose number of individual basic information is less than a threshold value is concealed And a unit section around the concealment section is selected as an inclusion section, and a combined section is created by combining the inclusion section and the concealment section, and the concealment section and the inclusion section are included in the combination section. A device for assigning individual basic information,
A determination area storage means for storing a predetermined determination area within the predetermined range;
An area superimposing means for reading out the discrimination area and superimposing the discrimination area;
An inclusion zone selection means for selecting the inclusion zone suitable for the concealment zone based on the discrimination area;
The individual basic information concealment device, wherein the inclusion section selection means selects the inclusion section from the unit sections in the determination area overlapping with all or a part of the concealment section.

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