CN109800282A - The method and device of dangerous source distribution is analyzed based on GIS spatial data - Google Patents

The method and device of dangerous source distribution is analyzed based on GIS spatial data Download PDF

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Publication number
CN109800282A
CN109800282A CN201910275640.6A CN201910275640A CN109800282A CN 109800282 A CN109800282 A CN 109800282A CN 201910275640 A CN201910275640 A CN 201910275640A CN 109800282 A CN109800282 A CN 109800282A
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China
Prior art keywords
data
source
classification
administrative region
danger source
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Inventor
蔡文杰
李睿智
任建顺
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Suzhou Baizhuo Network Technology Co Ltd
Tongding Interconnection Information Co Ltd
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Suzhou Baizhuo Network Technology Co Ltd
Tongding Interconnection Information Co Ltd
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Publication of CN109800282A publication Critical patent/CN109800282A/en
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Abstract

The invention discloses the method and devices that dangerous source distribution is analyzed based on GIS spatial data, carry out dangerous Source Data Acquisition first;Space orientation is carried out to dangerous source data later;Statistic of classification is carried out by predtermined category classification again;Administrative region is pressed again, carries out symbolism processing in conjunction with spatial data, danger source classification data;Finally according to symbolism processing result, by map denotation control, the drafting symbol above the administrative region of map carries out dangerous source density and shows.Preferably, the dangerous source data that the symbol includes can be shown above the administrative region of map with the movement of a certain symbol of monitoring user click.The present invention relies on GIS spatial data in conjunction with business statistics data, and the displaying of character density thematic map is carried out by map, and the displaying of detailed data is realized by clicking symbol, realizes the drilling analysis of data;Introduce statistic of classification;Displaying is more intuitive effective, is improved in administrative region in summary to the efficiency of danger source distributional analysis.

Description

The method and device of dangerous source distribution is analyzed based on GIS spatial data
Technical field
The present invention relates to the technical fields that dangerous source distribution is shown, more particularly to analyze danger source based on GIS spatial data The method and device of distribution.
Background technique
GIS, i.e. GIS-Geographic Information System (Geographic Information System or Geo-Information System, GIS).
Danger source refers to the objectively clear things or factor for having constituted danger.Danger source occurs in order to prevent for safety supervision department Accident, it is necessary to which position and the distribution situation for understanding danger source, the constraint that takes measures, limitation energy or dangerous substance, control are dangerous Source, which produces the people, life is potential influences.Currently, existing software systems can be based on GIS map, by danger source point Cloth can inquire the details of danger source on map by the symbol logo on operation map.
Since the number of the enterprise of safety supervision department area under one's jurisdiction management is huge, danger source is distributed on map only and is showed, It is not able to satisfy the demand of safety supervision staff, they need a series of data such as range statistics, classification statistics, these data will Management measure is formulated for safety supervision department, and the foundation of science is provided, but this scheme is also in research and exploratory stage, in conjunction with safety supervision The application of industry not yet occurs.
Summary of the invention
For overcome the deficiencies in the prior art, the purpose of the present invention is to provide analyze danger source based on GIS spatial data The method and device of distribution, it is intended to solve the prior art and not be able to achieve the range statistics of danger source, classification statistics and danger source The problem of detail data shows.
The purpose of the present invention is implemented with the following technical solutions:
A method of dangerous source distribution is analyzed based on GIS spatial data, comprising:
Acquisition step carries out dangerous Source Data Acquisition;It is described danger source data packet include spatial data, administrative region data, Danger source classification data;The spatial data includes coordinate information and/or address descriptive information;The administrative region data include Administrative region encoded information and/or name information;The danger source classification data includes hazardous chemical category description information, combustion gas One of class description information, harbour class description information are a variety of;
Positioning step carries out space orientation to dangerous source data according to spatial data;
Statistic of classification step, according to administrative region data, danger source classification data, to the danger source number after space orientation According to, by predtermined category classification carry out statistic of classification, obtain the quantity of each classification danger source;The predtermined category classification includes row Administrative division domain, hazardous chemical category, combustion gas class, harbour class;
Symbolism step, according to spatial data, administrative region data, danger source classification data, to the danger after statistic of classification Dangerous source data carries out symbolism processing;
Step is shown, according to the symbolism processing result of dangerous source data, by map denotation control, in the administration of map Overlying regions drafting symbol carries out dangerous source density and shows.
On the basis of the above embodiments, it is preferred that the symbolism step, specifically:
Rounding processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;Root Circular central is obtained according to the center of administrative region, circular radius is obtained according to the quantity that administrative region includes danger source;
The circular radius is directly proportional to the quantity of danger source;Alternatively,
The circular radius is directly proportional to the square root of the quantity of danger source;Alternatively,
The circular radius is directly proportional to the logarithm of the quantity of danger source.
Or, it is preferred that the symbolism step, specifically:
Histogram processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data; Histogram center is obtained according to the center of administrative region, it is high to obtain histogram according to the quantity that administrative region includes danger source Degree;
The histogram height is directly proportional to the quantity of danger source;Alternatively,
The histogram height is directly proportional to the square root of the quantity of danger source;Alternatively,
The histogram height is directly proportional to the logarithm of the quantity of danger source.
Or, it is preferred that the symbolism step, specifically:
Circular chart processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data; Circular chart center is obtained according to the center of administrative region, includes the number of danger source according to predetermined Ring Width, administrative region Amount obtains circular chart inner circle radius, exradius;
The circular chart inner circle radius, exradius are directly proportional to the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the square root of the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the logarithm of the quantity of danger source.
On the basis of above-mentioned any embodiment, it is preferred that the displaying step, further includes:
The movement of a certain symbol of monitoring user click is shown above the administrative region of map by map denotation control The dangerous source data that the symbol includes.
A kind of device for analyzing dangerous source distribution based on GIS spatial data, comprising:
Acquisition module, for carrying out dangerous Source Data Acquisition;The danger source data packet includes spatial data, administrative region number According to, danger source classification data;The spatial data includes coordinate information and/or address descriptive information;The administrative region data Including administrative region encoded information and/or name information;The danger source classification data include hazardous chemical category description information, One of combustion gas class description information, harbour class description information are a variety of;
Locating module, for carrying out space orientation to dangerous source data according to spatial data;
Statistic of classification module is used for according to administrative region data, danger source classification data, to the danger source after space orientation Data carry out statistic of classification by predtermined category classification, obtain the quantity of each classification danger source;The predtermined category classification includes Administrative region, hazardous chemical category, combustion gas class, harbour class;
Symbolism module is used for according to spatial data, administrative region data, danger source classification data, after statistic of classification Dangerous source data, carry out symbolism processing;
Display module, for the symbolism processing result according to dangerous source data, by map denotation control, in map Drafting symbol above administrative region carries out dangerous source density and shows.
On the basis of the above embodiments, it is preferred that the symbolism module is used for:
Rounding processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;Root Circular central is obtained according to the center of administrative region, circular radius is obtained according to the quantity that administrative region includes danger source;
The circular radius is directly proportional to the quantity of danger source;Alternatively,
The circular radius is directly proportional to the square root of the quantity of danger source;Alternatively,
The circular radius is directly proportional to the logarithm of the quantity of danger source.
Or, it is preferred that the symbolism module is used for:
Histogram processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data; Histogram center is obtained according to the center of administrative region, it is high to obtain histogram according to the quantity that administrative region includes danger source Degree;
The histogram height is directly proportional to the quantity of danger source;Alternatively,
The histogram height is directly proportional to the square root of the quantity of danger source;Alternatively,
The histogram height is directly proportional to the logarithm of the quantity of danger source.
Or, it is preferred that the symbolism module is used for:
Circular chart processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data; Circular chart center is obtained according to the center of administrative region, includes the number of danger source according to predetermined Ring Width, administrative region Amount obtains circular chart inner circle radius, exradius;
The circular chart inner circle radius, exradius are directly proportional to the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the square root of the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the logarithm of the quantity of danger source.
On the basis of above-mentioned any embodiment, it is preferred that the display module is also used to:
The movement of a certain symbol of monitoring user click is shown above the administrative region of map by map denotation control The dangerous source data that the symbol includes.
Compared with prior art, the beneficial effects of the present invention are:
The invention discloses the method and devices that dangerous source distribution is analyzed based on GIS spatial data, first progress danger source Data acquisition, the danger source data packet include spatial data, administrative region data, danger source classification data;Later according to space Data carry out space orientation to dangerous source data;Further according to administrative region data, danger source classification data, after space orientation Dangerous source data, by predtermined category classification carry out statistic of classification, obtain the quantity of each classification danger source;Further according to space number According to, administrative region data, to the dangerous source data after statistic of classification, symbolism processing, such as rounding are carried out by administrative region Processing, histogram processing, circular chartization processing;Finally according to symbolism processing result, by map denotation control, in map Administrative region above drafting symbol, carry out dangerous source density and show, the content of displaying may include shared by danger source of all categories Ratio.It preferably, can be with the movement of a certain symbol of monitoring user click, by map denotation control, in the administrative area of map The detailed dangerous source data that the symbol includes is shown above domain, such as may include the specific of danger source proportion of all categories Data.The present invention relies on GIS spatial data in conjunction with business statistics data, carries out symbolism density thematic map by map It shows, the displaying of detailed data is realized by clicking symbol, the drilling analysis of data is realized, breaches traditional danger source on ground Direct distribution pattern on figure;Meanwhile statistic of classification is introduced, so that hazardous chemical category, combustion gas class, harbour class inquiry dimension be added Degree realizes classification special topic and shows effect;Also, the displaying mode of integrated mapping and symbol special topic makes to analyze result displaying more It is intuitive effective.As a result, the present invention can provide danger source specific analysis and multi dimensional analysis as a result, improving in administrative region To the efficiency of danger source distributional analysis.
The present invention realizes the ways of presentation of administrative region danger source density thematic map, makes danger source distributional analysis result exhibition Show more intuitive effective;Realize data from be integrated into it is detailed drill through mode, improve danger source distributional analysis efficiency;It realizes By the dimensional analysis mode that administrative region, danger source are classified, the comprehensive of dangerous distributional analysis is improved.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 shows a kind of method that dangerous source distribution is analyzed based on GIS spatial data provided in an embodiment of the present invention Flow diagram;
Fig. 2 shows a kind of devices that dangerous source distribution is analyzed based on GIS spatial data provided in an embodiment of the present invention Structural schematic diagram.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination Example.
Specific embodiment one
As shown in Figure 1, the embodiment of the invention provides a kind of method for analyzing dangerous source distribution based on GIS spatial data, Include:
Acquisition step S101 carries out dangerous Source Data Acquisition;The danger source data packet includes spatial data, administrative region number According to, danger source classification data;The spatial data includes coordinate information and/or address descriptive information;The administrative region data Including administrative region encoded information and/or name information;The danger source classification data include hazardous chemical category description information, One of combustion gas class description information, harbour class description information are a variety of;
Positioning step S102 carries out space orientation to dangerous source data according to spatial data;
Statistic of classification step S103, according to administrative region data, danger source classification data, to the danger source after space orientation Data carry out statistic of classification by predtermined category classification, obtain the quantity of each classification danger source;The predtermined category classification includes Administrative region, hazardous chemical category, combustion gas class, harbour class;Danger sources information is thereby realized in administrative region, hazardous chemical Category, combustion gas class, the various dimensions statistics of harbour class;
Symbolism step S104, according to spatial data, administrative region data, danger source classification data, after statistic of classification Dangerous source data, carry out symbolism processing;
Step S105 is shown, according to the symbolism processing result of dangerous source data, by map denotation control, in map Drafting symbol above administrative region carries out dangerous source density and shows.
The embodiment of the present invention carries out dangerous Source Data Acquisition first;Later according to spatial data, dangerous source data is carried out Space orientation;Further according to administrative region data, danger source classification data, to the dangerous source data after space orientation, by predetermined point Class classification carries out statistic of classification, obtains the quantity of each classification danger source;Further according to spatial data, administrative region data, to point Dangerous source data after class statistics carries out symbolism processing, such as rounding processing, histogram processing, ring by administrative region The processing of shape figureization;Finally according to symbolism processing result, by map denotation control, symbol is drawn above the administrative region of map Number, it carries out dangerous source density and shows that the content of displaying may include danger source proportion of all categories.
The embodiment of the present invention relies on GIS spatial data in conjunction with business statistics data, and it is close to carry out symbolism by map The displaying for spending thematic map realizes the displaying of detailed data by clicking symbol, realizes the drilling analysis of data, breach tradition Danger source direct distribution pattern on map;Meanwhile statistic of classification is introduced, so that hazardous chemical category, combustion gas class, harbour be added Class inquires dimension, realizes classification special topic and shows effect;Also, the displaying mode of integrated mapping and symbol special topic makes to analyze result It shows more intuitive effective.As a result, the embodiment of the present invention can provide danger source specific analysis and multi dimensional analysis as a result, mentioning Height is in administrative region to the efficiency of danger source distributional analysis.
Preferably, the symbolism step S104, can be with specifically: according to spatial data, administrative region data, to classification Dangerous source data after statistics carries out rounding processing;Circular central is obtained according to the center of administrative region, according to administration Region includes that the quantity of danger source obtains circular radius;The circular radius is directly proportional to the quantity of danger source;Alternatively, the circle Shape radius is directly proportional to the square root of the quantity of danger source;Alternatively, the logarithm of the quantity of the circular radius and danger source is at just Than.The advantage of doing so is that can be carried out at data stretching if the quantity variance of the danger source of different administrative regions is larger Reason, such as when 1000:1, can square root, cubic root or by way of taking logarithm, can conserved density size comparison As a result constant, and be unlikely to make some administrative regions because danger source quantity is too small, symbol is too small, influences bandwagon effect, column It is all made of similar approach in figure processing, circular chartization processing, for guaranteeing the bandwagon effect of symbol, therefore is repeated no more.
Preferably, the symbolism step S104, can be with specifically: according to spatial data, administrative region data, to classification Dangerous source data after statistics carries out histogram processing;Histogram center is obtained according to the center of administrative region, according to Administrative region includes that the quantity of danger source obtains histogram height;The histogram height is directly proportional to the quantity of danger source;Or Person, the histogram height are directly proportional to the square root of the quantity of danger source;Alternatively, the number of the histogram height and danger source The logarithm of amount is directly proportional.
Preferably, the symbolism step S104, can be with specifically: according to spatial data, administrative region data, to classification Dangerous source data after statistics carries out circular chart processing;Circular chart center is obtained according to the center of administrative region, according to Predetermined Ring Width, administrative region include that the quantity of danger source obtains circular chart inner circle radius, exradius;In the circular chart Radius of circle, exradius are directly proportional to the quantity of danger source;Alternatively, the circular chart inner circle radius, exradius and danger source Quantity square root it is directly proportional;Alternatively, the logarithm of the quantity of the circular chart inner circle radius, exradius and danger source is at just Than.
Preferably, the displaying step S105, can also include: the movement of a certain symbol of monitoring user click, pass through ground Figure shows control, the detailed dangerous source data that the symbol includes is shown above the administrative region of map, such as may include The specific data of danger source proportion of all categories.
Preferably, the dangerous source data shown can be carried out by hazardous chemical category, combustion gas class, harbour class dimension respectively Inquiry realizes that classification special topic shows effect.
In above-mentioned specific embodiment one, the method that dangerous source distribution is analyzed based on GIS spatial data is provided, therewith Corresponding, the application also provides the device that dangerous source distribution is analyzed based on GIS spatial data.Due to the basic phase of Installation practice It is similar to embodiment of the method, so describing fairly simple, the relevent part can refer to the partial explaination of embodiments of method.It is following to retouch The Installation practice stated is only schematical.
Specific embodiment two
As shown in Fig. 2, the embodiment of the invention provides a kind of device for analyzing dangerous source distribution based on GIS spatial data, Include:
Acquisition module 201, for carrying out dangerous Source Data Acquisition;The danger source data packet includes spatial data, administrative area Numeric field data, danger source classification data;The spatial data includes coordinate information and/or address descriptive information;The administrative region Data include administrative region encoded information and/or name information;The danger source classification data includes the description of hazardous chemical category One of information, combustion gas class description information, harbour class description information are a variety of;
Locating module 202, for carrying out space orientation to dangerous source data according to spatial data;
Statistic of classification module 203 is used for according to administrative region data, danger source classification data, to the danger after space orientation Dangerous source data carries out statistic of classification by predtermined category classification, obtains the quantity of each classification danger source;The predtermined category classification Including administrative region, hazardous chemical category, combustion gas class, harbour class;
Symbolism module 204 is used for according to spatial data, administrative region data, danger source classification data, to statistic of classification Dangerous source data afterwards carries out symbolism processing;
Display module 205, for the symbolism processing result according to dangerous source data, by map denotation control, on ground Drafting symbol above the administrative region of figure carries out dangerous source density and shows.
Preferably, the symbolism module 204 can be used for:
Rounding processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;Root Circular central is obtained according to the center of administrative region, circular radius is obtained according to the quantity that administrative region includes danger source;
The circular radius is directly proportional to the quantity of danger source;Alternatively,
The circular radius is directly proportional to the square root of the quantity of danger source;Alternatively,
The circular radius is directly proportional to the logarithm of the quantity of danger source.
Preferably, the symbolism module 204 can be used for:
Histogram processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data; Histogram center is obtained according to the center of administrative region, it is high to obtain histogram according to the quantity that administrative region includes danger source Degree;
The histogram height is directly proportional to the quantity of danger source;Alternatively,
The histogram height is directly proportional to the square root of the quantity of danger source;Alternatively,
The histogram height is directly proportional to the logarithm of the quantity of danger source.
Preferably, the symbolism module 204 can be used for:
Circular chart processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data; Circular chart center is obtained according to the center of administrative region, includes the number of danger source according to predetermined Ring Width, administrative region Amount obtains circular chart inner circle radius, exradius;
The circular chart inner circle radius, exradius are directly proportional to the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the square root of the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the logarithm of the quantity of danger source.
Preferably, the display module 205, can be also used for:
The movement of a certain symbol of monitoring user click is shown above the administrative region of map by map denotation control The dangerous source data that the symbol includes.
The present invention is from using in purpose, and in efficiency, the viewpoints such as progressive and novelty are illustrated, the practical progress having Property, oneself meets the function that Patent Law is emphasized and promotes and use important document, and more than the present invention explanation and attached drawing are only of the invention Preferred embodiment and oneself, the present invention is not limited to this, therefore, it is all constructed with the present invention, device, wait the approximations, thunder such as levy With, i.e., all according to equivalent replacement made by present patent application range or modification etc., the patent application that should all belong to of the invention is protected Within the scope of shield.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase Mutually combination.Although present invention has been a degree of descriptions, it will be apparent that, in the item for not departing from the spirit and scope of the present invention Under part, the appropriate variation of each condition can be carried out.It is appreciated that the present invention is not limited to the embodiments, and it is attributed to right and wants The range asked comprising the equivalent replacement of each factor.It will be apparent to those skilled in the art that can as described above Various other corresponding changes and deformation are made in technical solution and design, and all these change and deformation is all answered Within this is belonged to the protection scope of the claims of the invention.

Claims (10)

1. a kind of method for analyzing dangerous source distribution based on GIS spatial data characterized by comprising
Acquisition step carries out dangerous Source Data Acquisition;The danger source data packet includes spatial data, administrative region data, danger Source classification data;The spatial data includes coordinate information and/or address descriptive information;The administrative region data include administration Region encoding information and/or name information;The danger source classification data includes that hazardous chemical category description information, combustion gas class are retouched State one of information, harbour class description information or a variety of;
Positioning step carries out space orientation to dangerous source data according to spatial data;
Statistic of classification step presses the dangerous source data after space orientation according to administrative region data, danger source classification data Predtermined category classification carries out statistic of classification, obtains the quantity of each classification danger source;The predtermined category classification includes administrative area Domain, hazardous chemical category, combustion gas class, harbour class;
Symbolism step, according to spatial data, administrative region data, danger source classification data, to the danger source after statistic of classification Data carry out symbolism processing;
Step is shown, according to the symbolism processing result of dangerous source data, by map denotation control, in the administrative region of map Top drafting symbol carries out dangerous source density and shows.
2. the method according to claim 1 for analyzing dangerous source distribution based on GIS spatial data, which is characterized in that described Symbolism step, specifically:
Rounding processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;According to row The center in administrative division domain obtains circular central, obtains circular radius according to the quantity that administrative region includes danger source;
The circular radius is directly proportional to the quantity of danger source;Alternatively,
The circular radius is directly proportional to the square root of the quantity of danger source;Alternatively,
The circular radius is directly proportional to the logarithm of the quantity of danger source.
3. the method according to claim 1 for analyzing dangerous source distribution based on GIS spatial data, which is characterized in that described Symbolism step, specifically:
Histogram processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;According to The center of administrative region obtains histogram center, obtains histogram height according to the quantity that administrative region includes danger source;
The histogram height is directly proportional to the quantity of danger source;Alternatively,
The histogram height is directly proportional to the square root of the quantity of danger source;Alternatively,
The histogram height is directly proportional to the logarithm of the quantity of danger source.
4. the method according to claim 1 for analyzing dangerous source distribution based on GIS spatial data, which is characterized in that described Symbolism step, specifically:
Circular chart processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;According to The center of administrative region obtains circular chart center, is obtained according to the quantity that predetermined Ring Width, administrative region include danger source Take circular chart inner circle radius, exradius;
The circular chart inner circle radius, exradius are directly proportional to the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the square root of the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the logarithm of the quantity of danger source.
5. the method according to claim 1-4 for analyzing dangerous source distribution based on GIS spatial data, feature exist In the displaying step, further includes:
The movement of a certain symbol of monitoring user click shows the symbol by map denotation control above the administrative region of map Number dangerous source data for including.
6. a kind of device for analyzing dangerous source distribution based on GIS spatial data characterized by comprising
Acquisition module, for carrying out dangerous Source Data Acquisition;It is described danger source data packet include spatial data, administrative region data, Danger source classification data;The spatial data includes coordinate information and/or address descriptive information;The administrative region data include Administrative region encoded information and/or name information;The danger source classification data includes hazardous chemical category description information, combustion gas One of class description information, harbour class description information are a variety of;
Locating module, for carrying out space orientation to dangerous source data according to spatial data;
Statistic of classification module is used for according to administrative region data, danger source classification data, to the danger source number after space orientation According to, by predtermined category classification carry out statistic of classification, obtain the quantity of each classification danger source;The predtermined category classification includes row Administrative division domain, hazardous chemical category, combustion gas class, harbour class;
Symbolism module is used for according to spatial data, administrative region data, danger source classification data, to the danger after statistic of classification Dangerous source data carries out symbolism processing;
Display module, for the symbolism processing result according to dangerous source data, by map denotation control, in the administration of map Overlying regions drafting symbol carries out dangerous source density and shows.
7. the device according to claim 6 for analyzing dangerous source distribution based on GIS spatial data, which is characterized in that described Symbolism module is used for:
Rounding processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;According to row The center in administrative division domain obtains circular central, obtains circular radius according to the quantity that administrative region includes danger source;
The circular radius is directly proportional to the quantity of danger source;Alternatively,
The circular radius is directly proportional to the square root of the quantity of danger source;Alternatively,
The circular radius is directly proportional to the logarithm of the quantity of danger source.
8. the device according to claim 6 for analyzing dangerous source distribution based on GIS spatial data, which is characterized in that described Symbolism module is used for:
Histogram processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;According to The center of administrative region obtains histogram center, obtains histogram height according to the quantity that administrative region includes danger source;
The histogram height is directly proportional to the quantity of danger source;Alternatively,
The histogram height is directly proportional to the square root of the quantity of danger source;Alternatively,
The histogram height is directly proportional to the logarithm of the quantity of danger source.
9. the device according to claim 6 for analyzing dangerous source distribution based on GIS spatial data, which is characterized in that described Symbolism module is used for:
Circular chart processing is carried out to the dangerous source data after statistic of classification according to spatial data, administrative region data;According to The center of administrative region obtains circular chart center, is obtained according to the quantity that predetermined Ring Width, administrative region include danger source Take circular chart inner circle radius, exradius;
The circular chart inner circle radius, exradius are directly proportional to the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the square root of the quantity of danger source;Alternatively,
The circular chart inner circle radius, exradius are directly proportional to the logarithm of the quantity of danger source.
10. according to the described in any item devices for analyzing dangerous source distribution based on GIS spatial data of claim 6-9, feature It is, the display module is also used to:
The movement of a certain symbol of monitoring user click shows the symbol by map denotation control above the administrative region of map Number dangerous source data for including.
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