CN108197328A - Geographical national conditions data variation type automatic identifying method - Google Patents
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Abstract
The present invention relates to geographical national conditions data variation type automatic identifying methods, include the following steps：It obtains pending data and identifies the data type of data, obtain the data for meeting target data type；Data prediction is carried out to the data in data processor；Quality examination is carried out to the data after pretreatment according to variation testing requirements；To the area pattern tolerance and Linear element tolerance of the geographical national conditions data variation information automatic identification of data setting of quality passed examination；Identify area pattern, Linear element and the Point element of two phase geography national conditions factor data collection；Homogeneity is carried out to the area pattern, Linear element and Point element of two phase geography national conditions factor data collection to be stacked, and automatic identification geography national conditions data variation information；Export the geographical national conditions data after change information automatic identification.Implement the geographical national conditions data variation type automatic identifying method of the present invention, can accurately be changed information solicitation, efficiently obtain geographical national conditions information.
Description
Technical field
The invention belongs to the technical field of geographical national conditions monitoring, in particular to a kind of geographical national conditions data variation type
Automatic identifying method.
Background technology
Vector data variation detection is an important content of spatial data variation detection, it is based at computer picture
Reason system, change to different periods target the application technology for being identified, analyzing.Existing vector data variation detection
Technology is faced with many insoluble problems and difficulty, and domestic and international researcher has also carried out this large amount of research.Tang's stove
Bright, Yang Bisheng etc. is by studying spatial data variation and the relationship of similarity, it is proposed that the space based on linear ground object similarity
Data variation detection algorithm realizes the road data variation based on threadlike graph similarity cognition and finds and extract.Wan Yuan, Lee
Continuous heavy rain etc. is directed to the demand of geographic information data variation, proposes a kind of geography information system that detection is changed to geographic information data
System designing scheme, can detect the change information between different times geodata, the results showed that, the system is to geographical Information Number
There is higher accuracy according to the detection of variation.Xu Wenxiang study and formulated it is a kind of only with the relevant space characteristics of element itself
Code, and the quick of all kinds of vector elements is realized based on the space characteristics code and changes detection.Sha Yukun etc. utilizes the change of triple
Change detection model, detect the inspection of 5 kinds of change types such as the newly-increased of linear vector data, disappearance, extension, shortening, deformation automatically
Survey as a result, and using Qinghai Province Zaduo County, Yushu County area road network as test data, obtain road network change testing result,
The reasonability of verification algorithm.Shen Chen and Song Ying proposes a geodata incremental updating strategy and method based on Granule Computing, grinds
Study carefully the expression condition and reasoning problems of geographic object in the case of two kinds of staticaccelerator scale ruler state and dynamic proportion ruler.Du Xiao etc. is directed to
Data real current situation problem and difficulty are designed by change detection technical research and extraction filtering dependency rule, build base
Overall plan is detected in the variation of spatial match.This grandson group is even more to inquire into summarize in terms of multi-source vector data to swear in recent years
The change detection techniques of quantity space data and its application.The efficiency and accuracy that the research of above-mentioned scholar identifies in actually producing
On it is also to be hoisted, and handle Spatial data types it is relatively simple, almost without all standing planar spatial data side is related to
The research in face.
Invention content
In view of the deficiencies of the prior art, the present invention provides a kind of geographical national conditions data variation type automatic identifying method, packets
Include following steps：
(1) pending data are obtained and identifies the data type of data, obtain the data for meeting target data type, so
The data of acquisition are input to data processor afterwards；
(2) data prediction is carried out to the data in data processor；
(3) quality examination is carried out to the data after pretreatment according to variation testing requirements；
(4) data of quality passed examination are set with the area pattern tolerance of geographical national conditions data variation information automatic identification
With Linear element tolerance；
(5) two phase ground mulching categorized data sets of identification and geographical national conditions factor data collection, know according to Spatial data types
The area pattern of other two phases ground mulching categorized data set identifies two phase geography national conditions factor data collection according to Spatial data types
Area pattern, Linear element and Point element；
(6) area pattern to two phase ground mulching categorized data sets in step (5) and two phase geography national conditions elements
Area pattern, Linear element and the Point element of data set carry out homogeneity and are stacked, and automatic identification geography national conditions data variation
Information；
(7) the geographical national conditions data after change information automatic identification are exported.
Further, in step (1), pending data include geographical national conditions background data and geographical national conditions monitoring data
Two phases different data；The geography national conditions background data and geographical national conditions monitoring data are Standard division range data and arbitrary framing
Data；The target data type of geographical national conditions background data and geographical national conditions monitoring data is suffix name * .shp's
In the File Geodatabase of Shapefile, the Personal Geodatabase of suffix name * .mdb or suffix name * .gdb
One or several kinds.
Further, pending data are pre-processed according to geographical national conditions monitoring data in step (2), including
Projection transform and format conversion, the projection transform are used to supervise the coordinate system adjustment of geographical national conditions background data with geographical national conditions
The coordinate system of measured data is consistent；It is that geographical national conditions monitor that the format conversion, which is used for the format conversion of geographical national conditions background data,
The form of data.
Further, change data set, figure layer, field, figure and the category that testing requirements refer to data described in step (3)
Property is consistent；The quality examination refers to the data set to the data after pretreatment, figure layer, field, figure and attribute
Consistency is checked, is consistent, and is judged as qualification, is otherwise judged as unqualified.
Further, in step (5), ground mulching categorized data set includes plantation soil data set, woods grass covering data
Collection, building construction area data set, railway and road data collection, structures data set, artificial heap pick up data set, desert with it is exposed
Ground data set and waters data set；Geographical national conditions factor data collection includes transportation network data set, waters data set, structures will
Plain data set, geographical unit data set and urban area cities and towns comprehensive function cell data collection；Spatial data types include planar
Ground mulching factor data, planar geography national conditions factor data, linear geographical national conditions factor data and dotted geographical national conditions element
Data.
Further, step (6) automatic identification geography national conditions data variation information includes the following steps：
(1') when data set is ground mulching data set, ground mulching Classification Change information automatic identification is carried out, comprising
Following steps：
1. 1- reads planar ground mulching figure from background and the ground mulching data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phase planar ground mulching figure layer data carry out homogeneity Overlap Analysis to 1-；
3. 1- reads the planar intermediate data after homogeneity Overlap Analysis one by one；
4. 1- meets the following conditions and is preferentially judged as new life：
5. either of which that 1- meets (2) and (3) condition is determined as stretching：
6. 1- if the last item data then export ground mulching change information automatic identification data, otherwise continues to repeat
1- 3., 1- 4., 1- 5. steps.
Further, step (6) automatic identification geography national conditions data variation information further includes following steps：
(2') when data set is that geographical national conditions factor data integrates and Spatial data types is planar geography national conditions national conditions elements
Planar geography national conditions factor change information is carried out during data automatically to know, and is comprised the steps of：
1. 2- reads planar geography national conditions figure from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phase planar geography national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 2-；
3. 2- reads the planar intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4. 2- meets the following conditions and is judged as new life：
5. 2- meets the following conditions and is judged as deleting
6. either of which that 2- meets (3) and (4) condition is determined as stretching：
7. 2- all carries out the determined property of interfield in addition to planar geography national conditions element that is newborn and deleting is judged as, such as
The attribute that is determined as that the attribute in addition to figure layer carries field changes occurs to change；
2- is 8. if the last item data then export planar geography national conditions factor change information automatic identification data, otherwise
Continue to repeat 2- 3., 2- 4., 2- 5., 2- 6., 2- 7. steps.
Further, step (6) automatic identification geography national conditions data variation information further includes following steps：
(3') when data set is geographical national conditions factor data collection and Spatial data types are linear geographical national conditions national conditions element
Linear geographical national conditions factor change information is carried out during data automatically to know, and is comprised the steps of：
1. 3- reads linear geographical national conditions figure from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phases linear geographical national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 3-；
3. 3- reads the linear intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4. 3- meets the following conditions and is judged as new life：
5. 3- meets the following conditions and is judged as deleting
6. either of which that 3- meets (3) and (4) condition is determined as stretching：
7. 3- is judged as that cutting is interrupted when meeting following four condition
A. the geographical national conditions background data accessed is same element
B. update element is spatially adjacent
C. attribute does not change
D. background data length and equal to detection file division after length and
8. 3- all carries out the determined property of interfield in addition to the geographical national conditions element of threadiness that is newborn and deleting is judged as, such as
The attribute that is determined as that the attribute in addition to figure layer carries field changes occurs to change；
3- is 9. if the last item data then export linear geographical national conditions factor change information automatic identification data, otherwise
Continue to repeat 3- 3., 3- 4., 3- 5., 3- 6., 3- 7., 3- 8. steps；
Further, step (6) automatic identification geography national conditions data variation information further includes following steps：
(4') when data set is geographical national conditions factor data collection and Spatial data types are dotted geographical national conditions national conditions element
Dotted geographical national conditions factor change information is carried out during data automatically to know, and is comprised the steps of：
1. 4- reads dotted geographical national conditions figure from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phases dotted geographical national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 4-；
3. 4- reads the dotted intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4- 4. CC under the conditions of homogeneity Overlap Analysis<>CC_ is judged as new life：
4- 5. CC under the conditions of reversed homogeneity Overlap Analysis<>CC_ is judged as deleting；
6. 4- all carries out the determined property of interfield in addition to dotted geographical national conditions element that is newborn and deleting is judged as, such as
The attribute that is determined as that the attribute in addition to figure layer carries field changes occurs to change；
4- is 7. if the last item data then export dotted geographical national conditions factor change information automatic identification data, otherwise
Continue to repeat 4- 3., 4- 4., 4- 5., 4- 6. steps.
Further, the geographical national conditions data in step (7) after output change information automatic identification include ground mulching number
According to collection and geographical national conditions factor data collection, the wherein figure layer in ground mulching data set can increase ChangeType fields, geographical
The figure layer that national conditions factor data is concentrated can increase ChangeType and ChangeAtt fields.
Advantageous effect：
Geographical national conditions generaI investigation and monitoring are the important components of study of the national conditions, including physical geography national conditions, political geography
The contents such as national conditions, the generaI investigation of economic geography national conditions and monitoring.Carry out geographical national conditions monitoring, system is comprehensive, dynamic continuance grasps me
State's earth's surface naturally with political geography element situation, development trend and correlation, for auxiliary governmental science decision, science pipe
Reason pushes mapping geography information and socio-economic development depth integration, is of great significance.It is produced in geographical national conditions monitoring data
In, implement the geographical national conditions data variation type automatic identifying method of the present invention, can accurately be changed information solicitation, so as to
The variation characteristic of geospatial information is disclosed, efficiently obtains geographical national conditions information.
Description of the drawings
Fig. 1 is the overview flow chart of the geographical national conditions data variation type automatic identifying method of the present invention；
Fig. 2 is the ground mulching Classification Change information automatic identification flow chart of the present invention；
Fig. 3 is the planar geography national conditions factor change information automatic identification flow chart of the present invention；
Fig. 4 is the geographical national conditions factor change information automatic identification flow chart of threadiness of the present invention；
Fig. 5 is the dotted geographical national conditions factor change information automatic identification flow chart of the present invention.
Specific embodiment
Purpose and technical solution to make the embodiment of the present invention is clearer, below in conjunction with the attached of the embodiment of the present invention
Figure, is clearly and completely described the technical solution of the embodiment of the present invention.Obviously, described embodiment is of the invention
Part of the embodiment, instead of all the embodiments.Based on described the embodiment of the present invention, those of ordinary skill in the art
The all other embodiments obtained under the premise of without creative work, shall fall within the protection scope of the present invention.
Those skilled in the art of the present technique are appreciated that unless otherwise defined all terms used herein are (including technology art
Language and scientific terminology) there is the meaning identical with the general understanding of the those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, which should be understood that, to be had and the meaning in the context of the prior art
The consistent meaning of justice, and unless defined as here, will not be with idealizing or the meaning of too formal be explained.
Relevant algorithm introduction：
Overlap Analysis：Overlap Analysis is one of conventional means of GIS-Geographic Information System extraction space implicit information.It and position
It is different to put inquiry, new figure layer can be generated, and the partial element for inputting figure layer can be applied the boundary of figure layer by Overlap Analysis
Divided.The new data figure layer that Overlap Analysis generates combines all properties of original two or more figure layer elements, not only gives birth to
It is updated into new spatial relationship, and to the relation on attributes of All Layers.VectorLayer Overlap Analysis mainly includes
It is stacked to ask friendship, stacked summation, difference except stacked, homogeneity is stacked and it is stacked to update.
Homogeneity Overlap Analysis is exactly to carry out polygon overlapping, and output figure layer is retains with wherein one input figure layer in order to control
All polygons within boundary.The process of homogeneity Overlap Analysis operation is to input figure layer boundary in order to control, to its boundary
Element in addition is deleted, and retains the element within its boundary, while carried out polygon to the element within boundary and folded
Closing operation.
The geographical national conditions data variation type automatic identifying method of the present invention, includes the following steps：
(1) pending data are obtained and identifies the data type of data, obtain the data for meeting target data type, so
The data of acquisition are input to data processor afterwards；
(2) data prediction is carried out to the data in data processor；
(3) quality examination is carried out to the data after pretreatment according to variation testing requirements；
(4) data of quality passed examination are set with the area pattern tolerance of geographical national conditions data variation information automatic identification
With Linear element tolerance；
(5) two phase ground mulching categorized data sets of identification and geographical national conditions factor data collection, know according to Spatial data types
The area pattern of other two phases ground mulching categorized data set identifies two phase geography national conditions factor data collection according to Spatial data types
Area pattern, Linear element and Point element；
(6) area pattern to two phase ground mulching categorized data sets in step (5) and two phase geography national conditions elements
Area pattern, Linear element and the Point element of data set carry out homogeneity and are stacked, and automatic identification geography national conditions data variation
Information；
(7) the geographical national conditions data after change information automatic identification are exported.
Geographical national conditions background data in above-mentioned steps is the historical geography national conditions data obtained before, geographical national conditions monitoring
Data are relative to the data obtained after geographical national conditions background data.
In step (1), it is different with geographical national conditions two phases of monitoring data that pending data include geographical national conditions background data
Data；The geography national conditions background data and geographical national conditions monitoring data are Standard division range data and arbitrary framing data；Ground
Manage Shapefile, suffix of the target data type of national conditions background data and geographical national conditions monitoring data for suffix name * .shp
One or several kinds in the File Geodatabase of Personal Geodatabase or suffix name the * .gdb of name * .mdb.
Pending data are pre-processed according to geographical national conditions monitoring data in step (2), including projection transform
And format conversion, the projection transform are used for the coordinate system adjustment of geographical national conditions background data and geographical national conditions monitoring data
Coordinate system is consistent；The format conversion is used for lattice of the format conversion of geographical national conditions background data for geographical national conditions monitoring data
Formula.
Change testing requirements described in step (3) and refer to that data set, figure layer, field, figure and the attribute of data keep one
It causes；The quality examination refer to the consistency of the data set to the data after pretreatment, figure layer, field, figure and attribute into
Row checks, is consistent, is judged as qualification, is otherwise judged as unqualified.
In step (4) with tolerance is relevant judges that the symbol definition used is：ARC is area tolerance, and CRC holds for length
Difference；CC is the geographical national conditions classification code of background data, and CC_ is the classification code of the geographical national conditions data of monitoring；pIArea.Area
For the area based on shape data behind homogeneity Overlap Analysis technical finesse, pIArea.Area_ is is stacked based on reversed homogeneity
Analytical technology handles the area of shape data below；Shape_Area is monitoring planar data surface product, and Shape_Ar_1 is this bottom surface
Shape data area；PIPolyline.Length is the length based on data linear after homogeneity Overlap Analysis technical finesse,
PIPolyline.Length_ is the length based on data linear after reversed homogeneity Overlap Analysis technical finesse；Shape_
Leng1 is the linear data length of monitoring, and Shape_Le_1 is background threadiness data length.
In step (5), ground mulching categorized data set includes plantation soil data set, woods grass covering data set, house and builds
Build area's data set, railway and road data collection, structures data set, artificial heap pick up data set, desert and open ground data set
With waters data set；Geographical national conditions factor data collection includes transportation network data set, waters data set, structures factor data
Collection, geographical unit data set and urban area cities and towns comprehensive function cell data collection；Spatial data types are covered including planar earth's surface
Lid factor data, planar geography national conditions factor data, linear geographical national conditions factor data and dotted geographical national conditions factor data.
With《Basic geography national conditions monitoring data technical stipulation》Data in (GQJC 01-2017) are normal data, according to
Area pattern, the geography that the area pattern of secondary identification two phase ground mulching grouped datas concentration, geographical national conditions factor data are concentrated
The Point element that the Linear element of national conditions factor data concentration, geographical national conditions factor data are concentrated.Two phase ground mulchings are classified
The threadiness that area pattern, the geographical national conditions factor data that area pattern, geographical national conditions factor data in data set are concentrated are concentrated
The Point element that element, geographical national conditions factor data are concentrated is compared and judges successively with normal data.
Step (6) automatic identification geography national conditions data variation information includes the following steps：
(1') when data set is ground mulching data set, ground mulching Classification Change information automatic identification is carried out, comprising
Following steps：
1. 1- reads planar ground mulching figure from background and the ground mulching data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phase planar ground mulching figure layer data carry out homogeneity Overlap Analysis to 1-；
3. 1- reads the planar intermediate data after homogeneity Overlap Analysis one by one；
4. 1- meets the following conditions and is preferentially judged as new life：
5. either of which that 1- meets (2) and (3) condition is determined as stretching：
6. 1- if the last item data then export ground mulching change information automatic identification data, otherwise continues to repeat
1- 3., 1- 4., 1- 5. steps.
Step (6) automatic identification geography national conditions data variation information further includes following steps：
(2') when data set is that geographical national conditions factor data integrates and Spatial data types is planar geography national conditions national conditions elements
Planar geography national conditions factor change information is carried out during data automatically to know, and is comprised the steps of：
1. 2- reads planar geography national conditions figure from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phase planar geography national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 2-；
3. 2- reads the planar intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4. 2- meets the following conditions and is judged as new life：
5. 2- meets the following conditions and is judged as deleting
6. either of which that 2- meets (3) and (4) condition is determined as stretching：
7. 2- all carries out the determined property of interfield in addition to planar geography national conditions element that is newborn and deleting is judged as, such as
The attribute that is determined as that the attribute in addition to figure layer carries field changes occurs to change；
2- is 8. if the last item data then export planar geography national conditions factor change information automatic identification data, otherwise
Continue to repeat 2- 3., 2- 4., 2- 5., 2- 6., 2- 7. steps.
Further, step (6) automatic identification geography national conditions data variation information further includes following steps：
(3') when data set is geographical national conditions factor data collection and Spatial data types are linear geographical national conditions national conditions element
Linear geographical national conditions factor change information is carried out during data automatically to know, and is comprised the steps of：
1. 3- reads linear geographical national conditions figure from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phases linear geographical national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 3-；
3. 3- reads the linear intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4. 3- meets the following conditions and is judged as new life：
5. 3- meets the following conditions and is judged as deleting
6. either of which that 3- meets (3) and (4) condition is determined as stretching：
7. 3- is judged as that cutting is interrupted when meeting following four condition
A. the geographical national conditions background data accessed is same element
B. update element is spatially adjacent
C. attribute does not change
D. background data length and equal to detection file division after length and
8. 3- all carries out the determined property of interfield in addition to the geographical national conditions element of threadiness that is newborn and deleting is judged as, such as
The attribute that is determined as that the attribute in addition to figure layer carries field changes occurs to change；
3- is 9. if the last item data then export linear geographical national conditions factor change information automatic identification data, otherwise
Continue to repeat 3- 3., 3- 4., 3- 5., 3- 6., 3- 7., 3- 8. steps；
Step (6) automatic identification geography national conditions data variation information further includes following steps：
(4') when data set is geographical national conditions factor data collection and Spatial data types are dotted geographical national conditions national conditions element
Dotted geographical national conditions factor change information is carried out during data automatically to know, and is comprised the steps of：
1. 4- reads dotted geographical national conditions figure from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively
Layer；
2. two phases dotted geographical national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 4-；
3. 4- reads the dotted intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4- 4. CC under the conditions of homogeneity Overlap Analysis<>CC_ is judged as new life：
4- 5. CC under the conditions of reversed homogeneity Overlap Analysis<>CC_ is judged as deleting；
6. 4- all carries out the determined property of interfield in addition to dotted geographical national conditions element that is newborn and deleting is judged as, such as
The attribute that is determined as that the attribute in addition to figure layer carries field changes occurs to change；
4- is 7. if the last item data then export dotted geographical national conditions factor change information automatic identification data, otherwise
Continue to repeat 4- 3., 4- 4., 4- 5., 4- 6. steps.
Geographical national conditions data in step (7) after output change information automatic identification include ground mulching data set and geography
Figure layer in national conditions factor data collection, wherein ground mulching data set can increase ChangeType fields, and geographical national conditions want prime number
It can increase ChangeType and ChangeAtt fields according to the figure layer of concentration.
The general-purpose attribute item of each field in step (7) is defined as follows shown in Tables 1 and 2：
1 ground mulching Classification Change information general-purpose attribute item of table defines
The geographical national conditions factor change information general-purpose attribute item definition of table 2
It these are only embodiments of the present invention, description is more specific and in detail, but can not therefore be interpreted as pair
The limitation of the scope of the claims of the present invention.It should be pointed out that for those of ordinary skill in the art, the present invention is not being departed from
Under the premise of design, various modifications and improvements can be made, these are all belonged to the scope of protection of the present invention.
Claims (10)
1. geographical national conditions data variation type automatic identifying method, which is characterized in that include the following steps：
(1) pending data are obtained and identifies the data type of data, obtain the data for meeting target data type, then will
The data of acquisition are input to data processor；
(2) data prediction is carried out to the data in data processor；
(3) quality examination is carried out to the data after pretreatment according to variation testing requirements；
(4) data of quality passed examination are set with the area pattern tolerance and line of geographical national conditions data variation information automatic identification
Shape element tolerance；
(5) two phase ground mulching categorized data sets of identification and geographical national conditions factor data collection, two are identified according to Spatial data types
The area pattern of phase ground mulching categorized data set identifies the face of two phase geography national conditions factor data collection according to Spatial data types
Shape element, Linear element and Point element；
(6) area pattern to two phase ground mulching categorized data sets in step (5) and two phase geography national conditions factor datas
Area pattern, Linear element and the Point element of collection carry out homogeneity and are stacked, and automatic identification geography national conditions data variation information；
(7) the geographical national conditions data after change information automatic identification are exported.
2. geography national conditions data variation type automatic identifying method according to claim 1, which is characterized in that step (1)
In, pending data include the geographical national conditions background data data different with geographical national conditions two phases of monitoring data；The geography
National conditions background data and geographical national conditions monitoring data are Standard division range data and arbitrary framing data；Geographical national conditions background data and
The target data type of geographical national conditions monitoring data is the Personal of the Shapefile of suffix name * .shp, suffix name * .mdb
One or several kinds in the File Geodatabase of Geodatabase or suffix name * .gdb.
3. geography national conditions data variation type automatic identifying method according to claim 2, which is characterized in that step (2)
In pending data are pre-processed according to geographical national conditions monitoring data, it is described including projection transform and format conversion
Projection transform is used for the coordinate system adjustment of geographical national conditions background data is consistent with the coordinate system of geographical national conditions monitoring data；It is described
Format conversion is used for form of the format conversion of geographical national conditions background data for geographical national conditions monitoring data.
4. geography national conditions data variation type automatic identifying method according to claim 1, which is characterized in that step (3)
Described in variation testing requirements refer to that data set, figure layer, field, figure and the attribute of data are consistent；The quality examination
Refer to that the consistency of the data set to the data after pretreatment, figure layer, field, figure and attribute checks, be consistent
Then it is judged as qualification, is otherwise judged as unqualified.
5. geography national conditions data variation type automatic identifying method according to claim 1, which is characterized in that step (5)
In, ground mulching categorized data set includes plantation soil data set, woods grass covering data set, building construction area data set, railway
It picks up data set, desert and open ground data set and waters data set with road data collection, structures data set, artificial heap；Ground
It manages national conditions factor data collection and includes transportation network data set, waters data set, structures factor data collection, geographical unit data set
With urban area cities and towns comprehensive function cell data collection；Spatial data types are with including planar ground mulching factor data, planar
Manage national conditions factor data, linear geographical national conditions factor data and dotted geographical national conditions factor data.
6. the geographical national conditions data variation type automatic identifying method according to claim 1-5, which is characterized in that step
(6) automatic identification geography national conditions data variation information includes the following steps：
(1') when data set is ground mulching data set, ground mulching Classification Change information automatic identification is carried out, comprising as follows
Step：
1. 1- reads planar ground mulching figure layer from background and the ground mulching data set of the geographical national conditions data of monitoring respectively；
2. two phase planar ground mulching figure layer data carry out homogeneity Overlap Analysis to 1-；
3. 1- reads the planar intermediate data after homogeneity Overlap Analysis one by one；
4. 1- meets the following conditions and is preferentially judged as new life：
5. either of which that 1- meets (2) and (3) condition is determined as stretching：
Otherwise 1- continues to repeat 1- 6. if the last item data then export ground mulching change information automatic identification data
3., 1- 4., 1- 5. steps.
7. the geographical national conditions data variation type automatic identifying method according to claim 1-6, which is characterized in that step
(6) automatic identification geography national conditions data variation information further includes following steps：
(2') when data set is that geographical national conditions factor data integrates and Spatial data types is planar geography national conditions national conditions factor datas
Shi Jinhang planar geography national conditions factor change information is known automatically, comprises the steps of：
1. 2- reads planar geography national conditions figure layer from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively；
2. two phase planar geography national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 2-；
3. 2- reads the planar intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4. 2- meets the following conditions and is judged as new life：
5. 2- meets the following conditions and is judged as deleting
6. either of which that 2- meets (3) and (4) condition is determined as stretching：
7. 2- all carries out the determined property of interfield in addition to planar geography national conditions element that is newborn and deleting is judged as, such as occur
What the attribute in addition to figure layer carries field changed is determined as attribute change；
8. 2- if the last item data then export planar geography national conditions factor change information automatic identification data, otherwise continues
Repeat 2- 3., 2- 4., 2- 5., 2- 6., 2- 7. steps.
8. the geographical national conditions data variation type automatic identifying method according to claim 1-7, which is characterized in that step
(6) automatic identification geography national conditions data variation information further includes following steps：
(3') when data set is geographical national conditions factor data collection and Spatial data types are linear geographical national conditions national conditions factor data
The linear geographical national conditions factor change information of Shi Jinhang is known automatically, comprises the steps of：
1. 3- reads linear geographical national conditions figure layer from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively；
2. two phases linear geographical national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 3-；
3. 3- reads the linear intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4. 3- meets the following conditions and is judged as new life：
5. 3- meets the following conditions and is judged as deleting
6. either of which that 3- meets (3) and (4) condition is determined as stretching：
7. 3- is judged as that cutting is interrupted when meeting following four condition
A. the geographical national conditions background data accessed is same element
B. update element is spatially adjacent
C. attribute does not change
D. background data length and equal to detection file division after length and
8. 3- all carries out the determined property of interfield in addition to the geographical national conditions element of threadiness that is newborn and deleting is judged as, such as occur
What the attribute in addition to figure layer carries field changed is determined as attribute change；
9. 3- if the last item data then export linear geographical national conditions factor change information automatic identification data, otherwise continues
Repeat 3- 3., 3- 4., 3- 5., 3- 6., 3- 7., 3- 8. steps.
9. the geographical national conditions data variation type automatic identifying method according to claim 1-8, which is characterized in that step
(6) automatic identification geography national conditions data variation information further includes following steps：
(4') when data set is geographical national conditions factor data collection and Spatial data types are dotted geographical national conditions national conditions factor data
The dotted geographical national conditions factor change information of Shi Jinhang is known automatically, comprises the steps of：
1. 4- reads dotted geographical national conditions figure layer from background and the geographical national conditions data set of the geographical national conditions data of monitoring respectively；
2. two phases dotted geographical national conditions figure layer data carry out the reversed homogeneity Overlap Analysis of homogeneity Overlap Analysis to 4-；
3. 4- reads the dotted intermediate data after homogeneity Overlap Analysis and reversed homogeneity Overlap Analysis one by one；
4- 4. CC under the conditions of homogeneity Overlap Analysis<>CC_ is judged as new life：
4- 5. CC under the conditions of reversed homogeneity Overlap Analysis<>CC_ is judged as deleting；
6. 4- all carries out the determined property of interfield in addition to dotted geographical national conditions element that is newborn and deleting is judged as, such as occur
What the attribute in addition to figure layer carries field changed is determined as attribute change；
7. 4- if the last item data then export dotted geographical national conditions factor change information automatic identification data, otherwise continues
Repeat 4- 3., 4- 4., 4- 5., 4- 6. steps.
10. geography national conditions data variation type automatic identifying method according to claim 1, which is characterized in that step (7)
Geographical national conditions data after middle output change information automatic identification include ground mulching data set and geographical national conditions factor data collection,
Figure layer wherein in ground mulching data set can increase ChangeType fields, and the figure layer that geographical national conditions factor data is concentrated can increase
Add ChangeType and ChangeAtt fields.
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