JP6875626B2 - Analytical chart acquisition system - Google Patents

Description

INDUSTRIAL APPLICABILITY The present invention is a technique in which a user acquires a diagram (hereinafter referred to as an "analytical diagram") in which an object to be aggregated (hereinafter referred to as an "aggregation object") is recorded for each unit area and the distribution is displayed on a map. More specifically, after presenting a candidate analysis diagram (hereinafter referred to as "candidate analysis diagram") to the user according to the user's attributes and usage time, or creating an analysis diagram. It relates to an analysis diagram acquisition system for acquiring a desired analysis diagram by inputting a condition (hereinafter, referred to as “creation condition”).

For analytical charts such as population distribution charts and household distribution charts, a predetermined range is divided by meshes, the population and the number of households (number of subjects) included in each mesh are recorded, and each mesh is color-coded according to the number of subjects. What you do is the mainstream. Such analytical charts have been used in a wide range of fields in recent years because the distribution of subjects can be grasped from a bird's-eye view and intuitively. In particular, analytical charts have become one of the indispensable tools for governments that formulate policies such as location optimization, children's policies, and transportation policies.

Since various analytical diagrams are used in all fields, various techniques related to analytical diagrams have been proposed so far. For example, Patent Document 1 discloses a technique for creating a population distribution map and a household distribution map while considering the "Act on the Protection of Personal Information".

Japanese Unexamined Patent Publication No. 2016-051372

By the way, an analytical map closely related to location information is generally created by using a geographic information system (GIS). GIS was noted for its use in forest management in Canada in the early 1960s, and has since become widespread in Japan, and has recently been introduced by many companies and organizations, including local governments. This GIS has a major feature in that it handles information using the position as a clue. Specifically, it comprehensively manages, processes, or visually displays information about the position, advanced analysis, and quickness. It enables you to make a good judgment. Therefore, some of the operations of local governments include GIS as part of their operations, such as city planning window systems, road construction management, and garbage station management. In other words, GIS is positioned as an indispensable and indispensable tool for those in charge of such operations.

On the other hand, there is a tendency not to use GIS relatively for work for which the contents to be implemented such as policy support have not been established (not routineized). Originally, considerable knowledge and skills are required to operate GIS, but GIS is used less frequently, and it may become less used due to staff changes, so even though GIS was introduced, it is fully utilized. There are some cases where it is not done.

In recent years, issues such as population decline and regional revitalization have become the focus of attention, and there is an increasing need for GIS that solve these issues, so to speak, "GIS in the field of policy support." However, because the person in charge does not have considerable knowledge and skills, he did not come up with the idea of using GIS for policy support, and as a result, GIS in the field of policy support was established both technically and from the perspective of service provision. The current situation is that it has not been done.

An object of the present invention is to solve a conventional problem, that is, to provide an analytical diagram acquisition system capable of providing a desired analytical diagram to a person in charge who does not have considerable knowledge or skill in a timely manner. It is to be.

The present invention focuses on the point that a required analytical diagram is predicted, created and stored in advance, and is an invention made based on an idea that has not existed in the past.

The analysis chart acquisition system of the present invention includes an analysis chart storage means, a user recognition means, a candidate analysis chart selection means, and an analysis chart designation means. Among them, the analysis diagram storage means stores a plurality of analysis diagrams, and the user recognition means recognizes the user attribute information. Further, the candidate analysis chart selection means selects one or two or more candidate analysis charts from the analysis charts stored in the analysis chart storage means and displays the candidate analysis charts on the display means. , The candidate analysis diagram displayed on the display means is specified. The analysis chart storage means stores the analysis chart in association with the department information, and the candidate analysis chart selection means selects the candidate analysis chart based on the department information related to the user attribute information. Then, the user specifies the candidate analysis diagram by the analysis diagram designating means, so that the user acquires the target analysis diagram.

In the analysis diagram acquisition system of the present invention, the candidate analysis diagram selection means is based on the time of frequent use (the period when the analysis diagram is frequently used) including the present time (during operation) instead of selecting the candidate analysis diagram based on the department information. Candidate analysis charts can also be selected.

The analysis diagram acquisition system of the present invention may further include classification designation means. This classification designating means can specify a target business classification among a plurality of business classifications displayed on the display means. In this case, the analysis chart storage means stores the analysis chart in association with the business classification, and the candidate analysis chart selection means selects the candidate analysis chart from the analysis chart of the business classification designated by the classification designation means.

The analysis chart acquisition system of the present invention may also include an analysis chart storage means, a classification designation means, a condition input means, and an analysis chart creation means. Of these, the condition input means displays a plurality of input items on the display means and inputs the creation conditions (conditions for creating the analysis diagram) in the input items, and the analysis diagram creation means is input by the condition input means. The analysis chart is created based on the created conditions. The condition input means displays the input items preset for the business classification on the display means based on the business classification designated by the classification designation means. Then, the user acquires the analysis diagram created by the analysis diagram creation means.

The analysis diagram acquisition system of the present invention may also input the aggregation time and the aggregation range as the aggregation conditions included in the creation conditions by the condition input means.

The analysis diagram acquisition system of the present invention may also input the age range and gender of the aggregation target as the target conditions included in the creation conditions by the condition input means.

The analysis diagram acquisition system of the present invention has the following effects.
(1) In order to present a candidate analysis diagram according to the user or to display and guide input items, even a person who does not have considerable knowledge or skill regarding GIS can easily acquire the analysis diagram.
(2) It takes about 2 weeks to 1 month to obtain the analytical chart if it is outsourced to a specialist, but according to the present invention, the desired analytical chart can be obtained in an extremely short period (within a day or two). Can be done.
(3) By preparing various types of analysis diagrams, it is possible to meet the user's request without omission.
(4) A desired analysis diagram can be obtained without preparing a GIS on the user side.

A model diagram showing a large number of unit areas in which the target range is divided on the left side and a unit area with an identifier on the right side. The model figure which shows an example of the structure of the analysis figure acquisition system of this invention. The block diagram which shows the analysis figure acquisition system in 1st Embodiment. A screen view showing a business classification icon displayed on the display means. An explanatory diagram showing an example of a department to which a user registered in the analysis diagram acquisition system belongs. A screen view showing icons of six candidate analysis charts selected with the business field "location optimization" as a search condition. Analytical chart showing "population in a buffer within walking distance of 500m from medical facility point". A block diagram showing an analysis diagram acquisition system when a candidate analysis diagram is selected using department information as a search condition. The block diagram which shows the analysis figure acquisition system in 2nd Embodiment. The screen view which shows the 1st input pattern displayed on the display means. The screen view which shows the 2nd input pattern displayed on the display means.

An example of an embodiment of the analysis diagram acquisition system of the present invention will be described with reference to the drawings. Since the analysis diagram acquisition system of the present invention is for the user to acquire an "analysis diagram", this analysis diagram will be described first. When the government formulates policies such as location optimization, children's policies, and transportation policies, it may check how the population, households, or specific facilities are distributed within the administrative area. The distribution map used as policy support at this time is the analysis map referred to in the present invention. For example, when formulating an education policy, the distribution of households within a radius of 800 m from an elementary school may be confirmed, and an analysis chart is used at this time. As shown in Fig. 1, this analysis chart divides the target area into a large number of small areas (hereinafter referred to as "unit areas"), and each unit area is divided into populations, households, or facilities such as schools and meetinghouses. (Hereinafter, those subject to aggregation are referred to as "aggregation targets") are recorded, and each unit area is plotted with colors corresponding to the number. In FIG. 1, a large number of unit areas in which the target range is divided are shown on the left side, and a part (part a) on the left side is enlarged and shown on the right side, and a unit area to which an identifier (ID: IDentification) is assigned is shown. ing.

Next, a schematic configuration of the analysis diagram acquisition system of the present invention will be described. FIG. 2 is a model diagram showing an example of the configuration of the analysis diagram acquisition system 100. As shown in this figure, the acquisition system 100 can be configured by the host side system 200 and the client side system 300. The host-side system 200 and the client-side system 300 may be formed by using a computer device such as a personal computer (PC), a smartphone, or a tablet terminal such as an iPad (registered trademark).

The host-side system 200 and the client-side system 300 are connected by a wired or wireless communication means, and for example, an analysis diagram stored in the host-side system 200 is transmitted to the client-side system 300 in response to a request from the client-side system 300. That's why. As shown in FIG. 1, a plurality of client-side systems 300 are normally connected to one host-side system 200, and for example, an analysis diagram provider (host-side system 200) has a large number of administrative agencies (client-side system 300). ) Can be provided in response to the request.

Subsequently, each of the main elements constituting the analysis diagram acquisition system 100 will be described in detail. The analysis diagram acquisition system 100 of the present invention can be divided into a case where the already created analysis diagram is provided as it is and a case where the analysis diagram is created each time according to the user's request. The first embodiment and the second embodiment will be described in order.

(First Embodiment)
FIG. 3 is a block diagram showing an analysis diagram acquisition system 100 according to the first embodiment. Each means shown in this block diagram may use a program that causes a computer to execute the process. In FIG. 3, the host-side system 200 is shown by the broken line on the left side, and the client-side system 300 is shown by the broken line on the right side. That is, the processing by each means in the left-hand side broken line is executed by the host-side system 200, and each of the processes in the right-hand side broken line is executed. The processing by means is executed by the client-side system 300. The arrangement of each means shown in FIG. 3 is only an example, and some means in the host side system 200 can be placed in the client side system 300, or some means in the client side system 300 can be used. It can also be placed in the host-side system 200.

Hereinafter, a procedure for a user to acquire an analysis diagram by using the analysis diagram acquisition system 100 in the first embodiment will be described. First, the user logs in to the analysis diagram acquisition system 100 using the login means 310 of the client-side system 300. At this time, the user information stored in advance is acquired by using the user ID or the like entered at the time of login as a clue. When the analysis diagram acquisition system 100 is logged in, the business classification is displayed on the display means 320 such as the display by the user operation. Here, the business classification is a classification (category) for summarizing an analysis diagram having a common part (or tendency) of contents. For example, the government formulates policies in various fields, and in each policy-making scene, analysis charts corresponding to the policy fields are used, so various analysis charts are usually prepared. However, it is not easy to extract the desired one from a large number of analytical diagrams. Therefore, by assigning an appropriate business classification to each analysis chart, that is, by aggregating (grouping) multiple analysis charts for each business classification, it is possible to select the desired analysis chart after narrowing down the business classification. That is to do.

FIG. 4 is a screen view showing a business classification icon (hereinafter, referred to as “business classification icon 311”) displayed on the display means 320. In this figure, "location optimization", "child policy", and "transportation policy" are displayed as business classifications, and each is displayed on the display means 320 as a business classification icon 311. Of course, the business classification is not limited to these three types, and other business classifications can be displayed, and two or four or more types of business classifications can be displayed. Then, the user specifies a desired one of the business classification icons 311 displayed by the classification designation means 330 (for example, by a click operation or the like).

On the other hand, the host-side system 200 acquires the department information of the user (information of the department to which the user belongs). Specifically, when the user information is acquired by logging in to the user, the user recognition means 210 of the host-side system 200 acquires the department information included in the user information. Since the user who can operate the analysis diagram acquisition system 100 is registered in advance, and the department to which the user belongs (for example, the department shown in FIG. 5) is also registered as a part of the user information, the user information can be stored. The obtained user recognition means 210 can acquire the department information of the user.

The department information acquired by the user recognition means 210 and the business classification designated by the user by the classification designation means 330 are passed to the candidate analysis diagram selection means 220, respectively. Then, the candidate analysis diagram selection means 220 selects some candidate analysis diagrams from the host-side analysis diagram storage means 230, using the department information and the business classification as clues. Since the host-side analysis diagram storage means 230 stores the analysis diagram after associating it with the department information and also associating the business classification, it is possible to extract the analysis diagram corresponding to the department information and the business classification. .. The candidate analysis diagram selected here is displayed on the display means 320 of the client-side system 300. For example, in FIG. 6, icons of six candidate analysis maps selected with the business field “location optimization” as a search condition (hereinafter, referred to as “candidate map icon 341”) are displayed.

When some candidate diagram icons 341 are displayed on the display means 320 of the client-side system 300, the user specifies a desired candidate diagram icon 341 by the analysis diagram designating means 340 (for example, by a click operation or the like). Then, using the information designated by the analysis diagram designating means 340 (for example, the identifier of the analysis diagram) as a clue, the target analysis diagram is extracted from the host-side analysis diagram storage means 230, and the client-side analysis diagram storage of the client-side system 300 is performed. Store (download) in means 350. When stored in the client-side analysis diagram storage means 350, the user can freely output the analysis diagram as shown in FIG. 7 to the printer or the display means 320. Note that FIG. 7 shows "a population within a buffer within a walking distance of 500 m from the medical facility point" as an example of an analysis diagram.

Up to this point, we have explained an example of selecting candidate analysis charts using department information and business classification as search conditions, but selecting candidate analysis charts using the time when analysis charts are particularly used instead of (or in addition to) department information as search conditions. You can also do it. For example, when a budget request is imminent, a specific analytical chart for requesting a budget is also frequently used. Therefore, if the time when the analysis chart acquisition system 100 is operated is before the budget request, the analysis charts frequently used at this time are selected as candidates. In the analysis chart, the period when the frequency of use is particularly high is referred to as "heavy use period" here for convenience.

FIG. 8 is a block diagram showing an analysis diagram acquisition system 100 when a candidate analysis diagram is selected using department information as a search condition. The candidate analysis diagram selection means 220 of the analysis diagram acquisition system 100 shown in this figure is based on the current time (that is, the time when the analysis diagram acquisition system 100 is operated) and the business classification as clues from the host side analysis diagram storage means 230. Select the candidate analysis chart. Since the host-side analytical chart storage means 230 stores the analytical chart in association with the heavy usage time, the analysis chart can be extracted on the condition of "the heavy usage time including the present time". The candidate analysis diagram selected here is displayed on the display means 320 of the client-side system 300.

(Second Embodiment)
FIG. 9 is a block diagram showing the analysis diagram acquisition system 100 according to the second embodiment. Similar to the first embodiment, each means shown in this block diagram may utilize a program that causes a computer to execute the process. Further, the arrangement of each means shown in FIG. 9 is only an example, and some means in the host side system 200 can be placed in the client side system 300, and some means in the client side system 300 can be used. It can also be placed in the host-side system 200.

Hereinafter, a procedure for the user to acquire an analysis diagram by using the analysis diagram acquisition system 100 in the second embodiment will be described. First, the user logs in to the analysis diagram acquisition system 100 using the login means 310 of the client-side system 300. At this time, the user information stored in advance is acquired by using the user ID or the like entered at the time of login as a clue. When the analysis diagram acquisition system 100 is logged in, the business classification is displayed on the display means 320 by a user operation, for example, as shown in FIG. Then, the user specifies a desired one of the business classification icons 311 displayed by the classification designation means 330 (for example, by a click operation or the like).

The business classification specified by the user by the classification designation means 330 is passed to the input item selection means 240 of the host side system 200. Then, the input item selection means 240 extracts a combination of a plurality of input items (hereinafter, referred to as “input pattern”) from the input item storage means 250 according to the business classification, using the business classification as a clue. Since the input pattern is set in advance for each business classification and the input item storage means 250 stores this input pattern after associating it with the business classification, the input pattern corresponding to the specified business classification is extracted. You can do it. The input pattern selected here is displayed on the display means 320 of the client-side system 300.

FIG. 10 is a screen view showing a first input pattern displayed on the display means 320, and FIG. 11 is a screen view showing a second input pattern displayed on the display means 320. In the first input pattern, the range to be aggregated (aggregation range) and the aggregation time are included in the input items. For example, in FIG. 10, "the entire city" is selected as the aggregation range (analysis area in this figure). As the aggregation time, the aggregation year is selected as "latest" and the aggregation month is selected as "January to December". As shown in this figure, the total month can be selected as a slide format (bar format) over multiple months, or a single month such as "April" or "June" should be selected. You can also.

On the other hand, in the second input pattern, the age range and gender are included in the input items in addition to the aggregation range and aggregation time. That is, the aggregation target of the second input pattern is the population (people). For example, in FIG. 11, "40 to 90 years old" is selected as the age range, and "all subjects (male and female)" are selected as the gender. As shown in this figure, the age range can be selected in a slide format as well as the aggregation time.

When the input pattern is displayed on the display means 320, the user inputs appropriate information into each input item displayed by the condition input means 360 (for example, by a keyboard operation or a click operation). The information (conditions) input here becomes the conditions for creating the analysis diagram (hereinafter referred to as "creation conditions").

The creation conditions input by the condition input means 360 are passed to the analysis diagram creation means 260. Then, the analysis map creating means 260 reads the necessary map information from the map information storage means 270, reads the information necessary for the aggregation (for example, population, etc.) from the aggregated information storage means 280, and further aggregates the information based on the creation conditions. Is executed to create an analysis diagram desired by the user (that is, corresponding to the creation conditions). The analysis diagram created here is sent to the client-side system 300, and is stored (downloaded) by the client-side analysis diagram storage means 350. When stored in the client-side analysis diagram storage means 350, the user can freely output the analysis diagram as shown in FIG. 7 to the printer or the display means 320.

The analysis map acquisition system of the present invention can be particularly effectively used for acquiring analysis maps such as a population distribution map and a household distribution map. In addition, it can be effectively used when formulating administrative policies, that is, as policy support.

100 Analytical diagram acquisition system 200 Host side system 210 User recognition means 220 Candidate analysis diagram selection means 230 Host side analytical diagram storage means 240 Input item selection means 250 Input item storage means 260 Analytical diagram creation means 270 Map information storage means 280 Aggregate information storage Means 300 Client-side system 310 Login means 311 Business classification icon 320 Display means 330 Classification designation means 340 Analysis diagram designation means 341 Candidate diagram icon 350 Client-side analysis diagram Storage means 360 Condition input means

Claims (6)

In the analysis map acquisition system that acquires the analysis map distributed on the map by totaling the aggregation target for each unit area.
Analytical diagram storage means for storing a plurality of the analytical diagrams, and
User recognition means for recognizing user attribute information and
Candidate analysis chart selection means for selecting one or more candidate analysis charts from the analysis charts stored in the analysis chart storage means and displaying the candidate analysis charts on the display means.
An analysis diagram designating means for designating the candidate analysis diagram displayed on the display means is provided.
The analysis diagram storage means stores the analysis diagram in association with department information, and stores the analysis diagram.
The candidate analysis diagram selection means selects the candidate analysis diagram based on the department information related to the user attribute information.
The user obtains the target analysis diagram by designating the candidate analysis diagram by the analysis diagram designation means.
An analysis chart acquisition system characterized by this. In the analysis map acquisition system that acquires the analysis map distributed on the map by totaling the aggregation target for each unit area.
Analytical diagram storage means for storing a plurality of the analytical diagrams, and
Candidate analysis chart selection means for selecting one or more candidate analysis charts from the analysis charts stored in the analysis chart storage means and displaying the candidate analysis charts on the display means.
An analysis diagram designating means for designating the candidate analysis diagram displayed on the display means is provided.
The analysis diagram storage means stores the analysis diagram in association with a frequently used period, which is a frequently used period.
The candidate analysis chart selection means selects the candidate analysis chart based on the heavy usage period including the present time.
The user obtains the target analysis diagram by designating the candidate analysis diagram by the analysis diagram designation means.
An analysis chart acquisition system characterized by this. The analysis diagram storage means stores the analysis diagram in association with the business classification, and stores the analysis diagram.
Among the plurality of business classifications displayed on the display means, a classification designation means for designating the target business classification is further provided.
The candidate analysis chart selection means selects the candidate analysis chart from the analysis chart of the business classification designated by the classification designation means.
The analysis diagram acquisition system according to claim 1 or 2, wherein the analysis diagram acquisition system is characterized in that. In the analysis map acquisition system that acquires the analysis map distributed on the map by totaling the aggregation target for each unit area.
An analysis diagram storage means for storing a plurality of the analysis diagrams in association with a business classification,
Of the plurality of business classifications displayed on the display means, the classification designation means for designating the target business classification and the classification designation means.
A condition input means for displaying a plurality of input items on the display means and inputting a creation condition, which is a condition for creating the analysis diagram, to the input items.
An analysis diagram creating means for creating the analysis diagram based on the creation condition input by the condition input means is provided.
The condition input means displays the input items preset for the business classification on the display means based on the business classification designated by the classification designating means.
Acquire the analysis chart created by the analysis chart creation means,
An analysis chart acquisition system characterized by this. The creation conditions include aggregation conditions,
In the condition input means, the aggregation time and the aggregation range are input as the aggregation condition.
The analysis diagram acquisition system according to claim 4, wherein the analysis diagram acquisition system is characterized in that. The target of aggregation is the population, and the conditions for creation include the target conditions.
In the condition input means, the age range and gender of the aggregation target are input as the target conditions.
The analysis diagram acquisition system according to claim 4 or 5, wherein the analysis diagram acquisition system is characterized in that.

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