CN103914524B - A kind of topological method for auto constructing of land use data tense - Google Patents

A kind of topological method for auto constructing of land use data tense Download PDF

Info

Publication number
CN103914524B
CN103914524B CN201410114566.7A CN201410114566A CN103914524B CN 103914524 B CN103914524 B CN 103914524B CN 201410114566 A CN201410114566 A CN 201410114566A CN 103914524 B CN103914524 B CN 103914524B
Authority
CN
China
Prior art keywords
land use
change
key element
data
database
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201410114566.7A
Other languages
Chinese (zh)
Other versions
CN103914524A (en
Inventor
郜允兵
刘玉
周艳兵
唐秀美
郝星耀
潘瑜春
高秉博
张翼鹏
李淑华
任艳敏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Research Center of Information Technology of Beijing Academy of Agriculture and Forestry Sciences
Original Assignee
Beijing Research Center for Information Technology in Agriculture
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Research Center for Information Technology in Agriculture filed Critical Beijing Research Center for Information Technology in Agriculture
Priority to CN201410114566.7A priority Critical patent/CN103914524B/en
Publication of CN103914524A publication Critical patent/CN103914524A/en
Application granted granted Critical
Publication of CN103914524B publication Critical patent/CN103914524B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474Sequence data queries, e.g. querying versioned data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining

Abstract

The present invention relates to a kind of topological method for auto constructing of land use data tense, including:History Land Use Database and annual change survey database are set up, history Land Use Database includes a tune, transitional Land Use Database and two Land Use Databases adjusted;Data reconstruction is carried out to the land use data in a tune, transitional Land Use Database;Land use data and two after being rebuild according to a tune, transitional period adjust annual change survey database extraction land use change increment after land use datas and two tune;Increment generation altering event table is changed according to land use, and record rear key element entity father and son inheritance, change type before changing, the extinction time assignment of generation time and key element entity to key element entity, complete the automatic structure of land use data tense topology, the workload that land use temporal database builds storehouse greatly reduces in this method, improves the efficiency of space-time data retrieval and trend analysis.

Description

A kind of topological method for auto constructing of land use data tense
Technical field
The present invention relates to based on geographic event temporal data database technology field, more particularly to during a kind of land use data State topology method for auto constructing.The method has important realistic meaning for strengthening soil land-use management, monitoring land used variation tendency.
Background technology
Since 1984, China completes first time, Second National land investigation, has carried out Year Land change Investigation work, have accumulated the land use data of magnanimity.Current land management business in the urgent need to using long-term sequence when State data carry out land parcel change trace, variation monitoring and trend analysis, and technology is provided for Urbanization Progress, cultivated land protection, land market Service.Temporal database is the basis of spatiotemporal data structure analysis.Land use survey data volume is huge, passes through technical staff people Work establishing element entity tense topology, sets up temporal database and does not have actuality.How existing land investigation data are utilized, it is real The automatic structure of existing land use data tense topology is the Key technique problem for setting up temporal database at present.
Land use data is generally sequence snapshot data, records the state that each Year Land is utilized.Current land sector exists During data management, frequently with sequence snapshot model that is simple in construction, being easily achieved.Such a Temporal-spatial data management model is for key element The description of change is not directly perceived, lacks land use change survey tense topological relation, and temporal data retrieval and space-time analysis are difficult, it is difficult to Meet current demand.In order to realize that the unification of temporal information and spatial information is handled, a variety of data models are successively proposed, when such as Empty cube model, space-time built-up pattern, Dike-pond modes etc..In existing Spatio-Temporal Data Model for Spatial, using based on event Dike-pond modes be relatively adapted to space-time database design and realize, and someone proposes pair for concrete application and problem in science The improvement of model.But the change of land use features entity is various(A variety of changes such as point face, line line, line face, face face), time-space relationship Complexity(Set membership many-to-many relationship after before changing), existing as-is data over the years has altered survey data again, existing to change The requirement of tense management can not be met by entering model.
Land use data tense topology constructing is namely based on suitable land use Spatio-Temporal Data Model for Spatial, to " one adjusts " (First time national land investigation, -1996 years 1984, similarly hereinafter), " transitional period "(In land investigation middle transition period, one adjusts knot Beam is tuned to open between the beginning to two, similarly hereinafter)" two adjust "(Second national land investigation, -2009 years 2007, similarly hereinafter)Etc. it is different when The process that the data of phase are organized again, namely based on the initial data such as land use data, change survey data, Change incremental data is extracted, key element entity change type, correlating factor entity historical inheritance relation and the life of assignment key element is screened Deposit the process of extinction time.Prior art often determines geographical entity according to the relation between geographical entity attributes and geometry state Change type and association type, the tense topological relation of establishing element entity.But the geographical entity being directed in the prior art Different from land use entity, entity change type is not consistent.Therefore, the correlation rule and method of entity change type be not yet It is applicable land use features entity associated.Also extract corresponding in land use change business usually through event semantics in the prior art Geographic event, the interaction relation set up between the reason for land use data state changes, event and data realizes level The tense topological relation for joining data is built.But the tense topological construction method is only applicable to the topological office of tense of land use entity Portion updates, to carrying out temporal data extraction and tense topological relation based on land use data, change survey data The situation of structure is not applied to simultaneously.
In summary, Spatio-Temporal Data Model for Spatial do not consider the data content of different times land use data it is inconsistent, The problems such as data structure alienation, multi-time Scales land use space-time analysis recall precision is relatively low, and space computation complexity is high;Tense number It is not suitable for adjusting the change increment extraction of land use data, father and son to inherit based on a tune, transitional period, two according to correlating method Relation recognition and topological relation are built, and are unfavorable for space-time data retrieval and trend analysis.
The content of the invention
How the technical problems to be solved by the invention are for differences such as a tune, transitional period, two tune and change surveys Period land use data, is realized the uniformity storage of temporal data and managed, increased based on sequence snapshot data and change Amount bag extracts land use change increment, realizes the automatic structure of land use data tense topology.
For this purpose, the present invention proposes a kind of topological method for auto constructing of land use data tense, including following step Suddenly:
History Land Use Database and annual change survey database are set up, the history Land Use Database includes One tune, transitional Land Use Database and two Land Use Databases adjusted;
Data reconstruction is carried out to the land use data in described one tune, transitional Land Use Database;
Land use data and two after being rebuild according to a tune, transitional period adjust land use datas and two tune Annual change survey database extracts land use change increment afterwards;
Increment generation altering event table is changed according to the land use, and records rear key element entity father and son before changing and is inherited Relation, change type, the extinction time assignment of generation time and key element entity to key element entity, when completing land use data State topology is automatic to be built, and forms the complete database of tense topology.
Preferably, data are carried out to the land use data in described one tune, transitional Land Use Database Rebuild, be specially:Solid data of the same name in one tune, transitional land use data is subjected to unification reconstruction.
Preferably, the land use data and two according to after a tune, transitional period reconstruction adjusts present status of land utilizations Annual change survey database extracts land use change increment after data and two tune, specifically includes:
To one adjust, the transitional period rebuild after land use data and two adjust land use datas, using based on Sequence snapshot data extracts incremental mode and obtains land use change increment;
Land use change increment is extracted based on the annual change survey data in annual change survey database.
Preferably, it is described to be specifically included based on sequence snapshot data extraction incremental mode acquisition land use change increment:
Spatial Overlap Analysis, forming element change file are carried out by the land use data to adjacent 2 years;Will The key element change file and the land use data of described adjacent 2 years carry out relational calculus, carry out land use change The extraction of incremental data.
Preferably, the annual change survey data based in annual change survey database extract land use change Increment is specifically included:
Obtain the renewal process file of the annual change survey data;
The extraction of incremental data is changed according to the land use after the renewal process file progress transitional period;
Preferably, the extraction of the land use change incremental data is specifically included:
Key element entity is not changed in extraction, and key element collection is not changed in generation;Extract attribute change key element entity and geometry change will Plain entity, generates key element collection after key element collection before changing and change.
Preferably, it is described to be specifically included according to land use change increment generation altering event table:
Changed according to the land use after incremental data extracts key element collection, change before changing and key element collection and do not change key element Collection;
Key element after wither away time and the change of key element entity is concentrated to concentrate key element entity for the key element before changing Generation time is recorded;
Key element entity father and son's inheritance after incremental data is extracted before changing is changed according to the land use;
According to key element collection after the collection of key element before changing, change and key element entity father and son inheritance generation afterwards before changing Altering event table.
By using a kind of topological method for auto constructing of land use data tense disclosed in this invention, soil is being built On the basis of Spatio-Temporal Data Model for Spatial, extract temporal data, set up entity historical inheritance relation, tense topological relation, build soil Ground utilize Accessing Temporal Data chain, realize different times isomeric data unification storage, be land use history review, trend analysis Reliable temporal database is provided.Realize the historical inheritance relation recognition of the different times as-is datas such as a tune, transitional period, two tune With when topology is automatic builds, realized based on change survey data the temporal database of existing tense chain is entered Mobile state update and Safeguard, the workload that land use temporal database builds storehouse greatly reduces, improve space-time data retrieval and trend analysis Efficiency.This method excavates for land management field long-term sequence big data that to provide multi-time Scales, quality and quantity integrated Temporal data analysis foundation, is that the application fields such as Urbanization Progress, cultivated land protection, land market service need land change rule Analysis and excavate provide technical support.
Brief description of the drawings
The features and advantages of the present invention can be more clearly understood from by reference to accompanying drawing, accompanying drawing is schematical without that should manage Solve to carry out any limitation to the present invention, in the accompanying drawings:
Fig. 1 shows a kind of flow chart of the topological method for auto constructing of land use data tense of the invention;
Fig. 2 shows the organization chart of land use temporal database in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the present invention is described in detail.
The embodiments of the invention provide a kind of topological method for auto constructing of land use data tense, for a tune, transition Phase, two adjust land use data feature, extract data before and after rebuilding, incremental data after extracting before changing, build temporal data and open up Relation is flutterred, as shown in figure 1, comprising the following steps:
S101, sets up history Land Use Database and annual change survey database, the history land use data Storehouse includes a tune, transitional Land Use Database and two Land Use Databases adjusted.
S102, data weight is carried out to the land use data in described one tune, transitional Land Use Database Build, be specially:Solid data of the same name in one tune, transitional land use data is subjected to unification reconstruction.
S103, land use data and two after being rebuild according to a tune, transitional period are adjusted in Land Use Databases Land use data and annual change survey database extract land use change increment, specifically include:To a tune, mistake Cross the phase rebuild after land use data and two adjust Land Use Databases in land use data, using based on Sequence snapshot data extracts incremental mode and obtains land use change increment;Become based on the year in annual change survey database More survey data extracts land use change increment;Wherein, incremental mode is extracted based on sequence snapshot data and obtains land use Change increment and carry out Spatial Overlap Analysis, forming element change text specifically by the land use data to adjacent 2 years Part, carries out relational calculus by key element change file and the land use data of described adjacent 2 years, carries out land use change The extraction of more incremental data;The annual change survey data based in annual change survey database are extracted land use and become More increment is specially the renewal process file for obtaining the annual change survey data, is carried out according to the renewal process file The land use crossed after the phase changes the extraction of incremental data;Key element entity is not changed into extraction, key element collection is not changed in generation; And the attribute of extraction is changed into key element entity and geometry changes key element entity and merges storage generation before changing after key element collection and change Key element collection.
S104, changes increment generation altering event table, and record rear key element entity father before changing according to the land use Sub- inheritance, change type, the extinction time assignment of generation time and key element entity to key element entity complete land use Accessing Temporal Data topology is automatic to be built, and forms the complete database of tense topology.
The altering event table is used for key element entity father and son inheritance, change type, key element entity after recording before changing Generation time and key element entity the extinction time.Increment generation altering event table, specific bag are changed according to the land use Include:Changed according to the land use after incremental data extracts key element collection, change before changing and key element collection and do not change key element collection;For Key element concentrates the generation time of key element entity to enter after the extinction time of the concentration of the key element before changing key element entity and the change Row record;Key element entity father and son's inheritance after incremental data is extracted before changing is changed according to the land use;According to described Before changing after key element collection, change key element collection and before changing after key element entity father and son inheritance generation altering event table.
In the embodiment of the present invention, history Land Use Database and annual change survey database, wherein history soil are set up Ground includes a tune, transition period, two tune land use datas using database, with supporting shp files, geodatabase Manage the form land use datas such as data model storage.Annual change survey database is annual change survey increment after two tune Bag data.
Increment generation altering event table is changed according to the land use and tense topological relation is built, tense topology is realized The automatic structure of relation.The generation altering event table is to create altering event table, and records rear key element entity father and son before changing The generation time of key element entity and extinction time of key element entity before changing after inheritance, change type, change;Tense topology It is the completion extinction time of key element entity and constant key element after the generation time of key element entity and change before changing that relation, which is built, The life cycle of entity.
The embodiment of the present invention according to altering event table, in temporal database before changing after key element, ground state key element life Cycle assignment, forms the complete land use space-time database of tense topology, as shown in Fig. 2 the number that a tune, transitional period are carried out According to reconstruction, set up and rebuild data word bank, the land use data and two after being rebuild according to a tune, transitional period adjust land uses Land use data and annual change survey database in database extract land use change incremental data, generation Altering event table, and the change of land use features object is considered as to the process of " old object is withered away and new object is produced ", for The change of entity object each time, the alternating change of its new and old object can one by one be charged to " history factor data collection " based on event In, and " present situation factor data collection " then preserves newest spatiality forever, before changing after the set membership of entity, altering event Type, spatio-temporal topological relation are stored in " altering event table ".Wherein, present situation factor data collection records the key element existed in certain year Entity, a portion is the key element entity after change, and another part is the key element entity not changed;History factor data Collection records the key element entity of certain year before changing.
Because the standard of the acquisition of the history Land Use Database factor data such as a tune, transitional period, storage is different from two tune(Category Property field, land classification standard, the area of pictural surface in minimum), cause the entity of the same name not changed(Fragmentary atural object, linear ground object, class Figure spot)In data content(Attribute field, land classification standard), locus and geometry(Data acquisition acquiring technology side Method, such as data drawing, smooth, edge fit), entity type(Standard of entering refirigeration difference is caused, and such as point arrives face, line to face, face to face)Deng Aspect is inconsistent.For this inconsistent, it is necessary to show to the land use in described one tune, transitional Land Use Database Shape data progress data reconstruction, sets up the key element entity associated relation before rebuilding and after reconstruction, and event table is rebuild in generation.
The embodiment of the present invention is according to T1, T2(T1<T2)The land use data of adjacent 2 years carries out reality of the same name Body is matched, and the geometric shape to key element entity on the inconsistent type basis of entity of the same name is differentiated is rebuild, before and after rebuilding Key element entity be saved in rebuild in correspondence year before key element collection, rebuild after key element collection, forming element rebuilds recording mechanism, preserves and rebuild note Record number, the front and rear key element mark code of reconstruction, reconstruction type, reconstruction time to reconstruction event table.Using volume reconstruction as once rebuilding Event, entity associated information, reconstruction time, reconstruction type, reconstruction recording mechanism etc. before and after record is rebuild in " reconstruction event table " Relevant information, realizes and rebuilds previous tune, transitional period data query, achieves, and realizes the unification storage of different times isomeric data, Reviewed for land use history, trend analysis provides reliable data basis.
As shown in the table, table 1 is that key element table before and after rebuilding, table 2 are to rebuild event table:
Table 1 rebuilds front and rear key element
Table 2 rebuilds event table(BGSJ)
Remarks:1st, represent that geometric figure is rebuild;2nd, represent that geometric type is rebuild;3rd, represent that geometric position is rebuild.
It is currently based on magnanimity land use data and extracts increment workload greatly, the embodiment of the present invention is based on by setting up The increment extracting method of sequence snapshot and change survey data, key element is automatically extracted after realizing before changing, and tense topology is closed The automatic structure of system, improves the efficiency that temporal database builds storehouse.
The two methods that said extracted land use changes incremental data are described in detail below, it is as follows:
1)Change increment is extracted based on sequence snapshot data
Pass through T1, T2(T1<T2)The as-is data Spatial Overlap Analysis of adjacent 2 years(Space ask friendship, space ask simultaneously, Negate in space), generation change procedure file, according to change procedure file and T1, T2 as-is data progress relational calculus, Key element, change key element are not changed in extraction.Change procedure file is to participate in the set of change key element elementary cell, when reflecting two The change of contrast feature object and its set of related object between point.Change procedure file have recorded change elementary cell change Attribute information after preceding attribute information and change.It is T1, T2 to become fragmentary atural object procedure file, linear ground object procedure file Ask friendship in space(Intersect)Operation result is negated with T1, T2 space(Symmetrical Difference)Computing knot The space and geographical key element summation of fruit.Earth polygon procedure file is that T1, T2 space are asked simultaneously(Union)Operation result.By zero Star atural object figure layer, linear ground object figure layer, earth polygon figure layer carry out extracting change increment respectively.Carried during extraction by constant key element Take, attribute change elements recognition, three steps of Geometrical change key element are carried out.
Elements recognition rule:Constant elements recognition, then constant according to T1, T2 key element geometric figure, ground class, ownership etc. Attribute information is constant and key element ground area difference is less than control area(Control area is 4m2)Carry out;Attribute change elements recognition, It is then constant according to T1, T2 key element geometric figure, extract ground class code, ownership change or two phase ground areas difference and be more than control Area(Control area is 4m2)Key element;During Geometrical change elements recognition, key element is that T1 present situations key element deducts constant want before change Element and attribute change before key element all key elements, after change key element be T2 present situation key elements in deduct constant key element and attribute change All key elements of key element afterwards.Key element deposit present situation factor data collection, before changing key element deposit history factor data collection after change.
Key element collection naming rule after before changing:<Before changing or after change>+“_”+<Element type>+“_”+<T1>TO<T2 >.BGQ is labeled as before changing, and mark is after change;Element type is earth polygon, linear ground object, fragmentary atural object, is used respectively DLTB, XZDW, LXDW are marked;T1, T2 indicate the present situation key element time.
2)Change increment is extracted based on annual change survey data
Become according to element identification code, change Activity recognition key element entity before and after key element Entity Change in renewal process file Change.Extracted successively by fragmentary atural object figure layer, linear ground object figure layer, earth polygon figure layer during elements recognition.Travel through T2 updated Key element in journey file, takes mark code and change behavior after its any key element contrast before changing, if key element before changing after identification code Identical, change behavior is that " 4 " are then not change;If key element before changing after identification code it is identical, change behavior be " 1 " if be attribute change Change;It is Geometrical change if if key element, rear identification code difference, change behavior are " 0 ", " 2 ", " 3 " before changing.From T2-1 present situation numbers According to middle extraction, key element is stored in history factor data collection before changing, and key element deposit present situation after change is extracted from more new file and wants prime number According to collection.Key element collection naming rule extracts change incremental portion with based on sequence snapshot data.
Key element changes behavior:Be divided into loss, attribute change, pattern modifying, it is newly-increased, unchanged five kinds.Wherein:Loss expression For " 0 ";Attribute change is expressed as " 1 ";Pattern modifying is expressed as " 2 ";It is newly-increased to be expressed as " 3 ";It is unchanged to be expressed as " 4 ".
Key element entity is not changed into extraction, key element collection is not changed in generation;And by the attribute of extraction change key element entity and Geometry change key element entity merges storage generation key element collection and key element collection after change, and changed according to the land use before changing Incremental data generates altering event table, and the altering event table is used for key element entity father and son inheritance after recording before changing, become The extinction time of more type, the generation time of key element entity and key element entity, comprise the following steps that:
1)After before changing key element collection, do not change key element collection newly-built " change record number ", " Date Of Change ", " during generation Between ", the field such as " wither away time ".According to T1, T2 as-is data tense topological relation, key element in T2 as-is datas is extracted Change record number, Date Of Change be saved in before changing, change after the newly-built field of key element " change record number ", " Date Of Change ". Key element before changing " extinction time " assignment T2 that history factor data is concentrated, key element after the change that present situation factor data is concentrated " generation time " assignment T2.
2)According to before changing, change after key element generate altering event table(BGSJ), record before changing after key element mark code, Change type, change time and change record number.Only recorded in altering event table figure spot before changing after inheritance, zero Star atural object, linear ground object only record before changing after state.Wherein, change time, change record number is in T2 key element fields Change time, change record number.It is to extract change type according to rear key element mark code, essential factors space Overlap Analysis before changing.Become Constant more front and rear identification code is then attribute change, is otherwise Geometrical change.
As shown in the table, table 3 is altering event table for rear key element table, table 4 before changing:
Table 3 before changing after key element
The altering event table of table 4(CJSJ)
Remarks:Change type:1 represents attribute change;2 represent that Geometrical change, including segmentation merge change and figure category The mixing change of property.
3)Repeat 1)、2)Step adjusts time sequencing to extract temporal data according to a tune, transitional period, two, and by temporal database Structure sets up database, as shown in Figure 2.To above-mentioned steps 1)、2)In before changing the generation time of key element entity, change after key element The extinction time carry out assignment.
4)It is assumed that having extracted -2013 years 1996 change incremental datas(Time interval is 1 year), and establish from 1996 The temporal database in -2013 years years.Key element life cycle builds as follows:
1996 all key element generation times are entered as 1996 first(Time assignment only showing as tense topology constructing Example, not key element changes the real time on stricti jurise);
The extinction time before changing in key element collection BGQ_DLTB_1996TO1997 in 1996 is entered as 1997, same to time-varying Rear key element collection BGH_DLTB_1996TO1997 generation times are entered as 1997;
Key element collection BGH_DLTB_1996TO1997 key elements after change are taken to concentrate any key element(FEATURE1997)Mark code (BSM1997)By change time sequential other before changing key element concentrate traversal.If BSM1997=certain A mark codes before changing, Then key element FEATURE1997 extinction time assignment A, if traversing result is sky, assignment time of withering away is 10000(With Represent within 10000 that key element is still suffered from so far).
Repeat the above steps, key element collection after change traveled through one by one by tense storehouse sequential, give feature object extinction time assignment, The key element tense topology constructing in perfect tense storehouse.
The embodiment of the present invention is changed to machine's soil for the complexity of many key element cascade changes of land use with figure spot Land productivity temporal data, improves key element entity historical inheritance relation recognition rate, the complexity that reduction tense topological relation is built.Pin The problems such as to different times, data structure alienation such as a tune, transitional period, two tune and change surveys, set up and rebuild event table, become More event table, classifies to rebuilding element type, change data type, realizes the uniformity storage of temporal data and manages Reason.Effective access of change survey data and the structure of tense topology are supported, the tense chain in land use tense storehouse is extended, expands Valid data source in tense storehouse is opened up, the vitality of temporal database is enhanced.
Embodiments of the invention are the foregoing is only, are not intended to limit the scope of the invention, it is every to utilize this hair Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills Art field, is included within the scope of the present invention.

Claims (5)

1. the topological method for auto constructing of a kind of land use data tense, it is characterised in that comprise the following steps:
Land Use Database is set up, the Land Use Database includes a tune, transitional land use data and two and adjusted Land use data and annual change survey data;Adjusted to described one, transitional land use data enters line number According to reconstruction;Specially:Solid data of the same name in one tune, transitional land use data is subjected to unification reconstruction;
Land use data and two after being rebuild according to a tune, transitional period adjust land use datas and the two tune year after next Spend change survey database and extract land use change increment;
Increment generation altering event table is changed according to the land use, and records rear key element entity father and son succession before changing and is closed System, change type, the extinction time assignment of generation time and key element entity to key element entity complete land use data tense Topological automatic structure, forms the complete database of tense topology;
National land investigation, -1996 years 1984 for the first time are shown in one mileometer adjustment;The transitional period represents mistake in the middle of land investigation Cross period, a tune end to two was tuned to open between the beginning;Second national land investigation, -2009 years 2007 are shown in two mileometer adjustment;
It is described to be specifically included according to land use change increment generation altering event table:
Changed according to the land use after incremental data extracts key element collection, change before changing and key element collection and do not change key element collection;
The generation of key element concentration key element entity after wither away time and the change of key element entity is concentrated for the key element before changing Time is recorded;
Key element entity father and son's inheritance after incremental data is extracted before changing is changed according to the land use;
Key element entity father and son inheritance generation change after according to key element collection after the collection of key element before changing, change and before changing Event table.
2. according to the method described in claim 1, it is characterised in that the land use according to after a tune, transitional period reconstruction As-is data and two adjusts annual change survey database extraction land use change after land use data and two tune to increase Amount, is specifically included:
Land use data and two after being rebuild to a tune, transitional period adjust land use datas, using based on sequence Snapshot data extracts incremental mode and obtains land use change increment;
Land use change increment is extracted based on the annual change survey data in annual change survey database.
3. method according to claim 2, it is characterised in that described that incremental mode acquisition is extracted based on sequence snapshot data Land use change increment is specifically included:
Spatial Overlap Analysis, forming element change file are carried out by the land use data to adjacent 2 years;Will be described Key element change file and the land use data of described adjacent 2 years carry out relational calculus, carry out land use change increment The extraction of data.
4. method according to claim 2, it is characterised in that the year based in annual change survey database becomes More survey data is extracted land use change increment and specifically included:
Obtain the renewal process file of the annual change survey data;After the renewal process file progress transitional period Land use change incremental data extraction.
5. the method according to claim 3 or 4, it is characterised in that the extraction tool of the land use change incremental data Body includes:
Key element entity is not changed in extraction, and key element collection is not changed in generation;Extract attribute change key element entity and geometry change key element is real Body, generates key element collection after key element collection before changing and change.
CN201410114566.7A 2014-03-25 2014-03-25 A kind of topological method for auto constructing of land use data tense Active CN103914524B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410114566.7A CN103914524B (en) 2014-03-25 2014-03-25 A kind of topological method for auto constructing of land use data tense

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410114566.7A CN103914524B (en) 2014-03-25 2014-03-25 A kind of topological method for auto constructing of land use data tense

Publications (2)

Publication Number Publication Date
CN103914524A CN103914524A (en) 2014-07-09
CN103914524B true CN103914524B (en) 2017-07-25

Family

ID=51040204

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410114566.7A Active CN103914524B (en) 2014-03-25 2014-03-25 A kind of topological method for auto constructing of land use data tense

Country Status (1)

Country Link
CN (1) CN103914524B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106777068A (en) * 2016-12-12 2017-05-31 中国农业大学 A kind of farmland quality grade database increment updating method
CN109144976A (en) * 2018-08-08 2019-01-04 重庆拓土地理信息有限公司 A kind of database and its management system based on land investigation foundation
CN111143656B (en) * 2019-12-30 2021-01-05 深圳集智数字科技有限公司 Method for adjusting event attribute and related device
CN112148672A (en) * 2020-08-31 2020-12-29 武汉欧铭达科技有限公司 Rapid reservoir building method and system for land survey
CN113505234B (en) * 2021-06-07 2023-11-21 中国科学院地理科学与资源研究所 Construction method of ecological civilized geographic knowledge graph

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008137869A1 (en) * 2007-05-07 2008-11-13 Autodesk, Inc. System and method for semi-automatic land planning
CN101604326B (en) * 2009-07-16 2012-08-01 浙江大学 Land use data update and analysis method based on event semantics
CN102799621A (en) * 2012-06-25 2012-11-28 国家测绘局卫星测绘应用中心 Method for detecting change of vector time-space data and system of method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008137869A1 (en) * 2007-05-07 2008-11-13 Autodesk, Inc. System and method for semi-automatic land planning
CN101604326B (en) * 2009-07-16 2012-08-01 浙江大学 Land use data update and analysis method based on event semantics
CN102799621A (en) * 2012-06-25 2012-11-28 国家测绘局卫星测绘应用中心 Method for detecting change of vector time-space data and system of method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"土地利用变化时空数据库设计与功能实现";丁春雨;《中国优秀硕士学位论文全文数据库基础科学辑》;20081215(第12期);第13-15、19、20、30页 *
"土地利用更新的联动机制与增量提取";唐远彬;《中国优秀博士论文全文数据库基础科学辑》;20111115(第11期);第10、20、55、57页 *

Also Published As

Publication number Publication date
CN103914524A (en) 2014-07-09

Similar Documents

Publication Publication Date Title
CN103914524B (en) A kind of topological method for auto constructing of land use data tense
Dickinson et al. The economic evaluation of implementing a GIS
CN110232098A (en) A kind of data warehouse administered based on data and genetic connection designs
CN106203840A (en) Scheme information automatic generation method
Moran et al. Population and environment in Amazônia: landscape and household dynamics
EP3144703B1 (en) Generating trail network maps
CN109376996A (en) Flood losses appraisal procedure and system based on statistical yearbook and geography information
CN103678712A (en) Disaster information spatial-temporal database
CN102750363A (en) Construction method of urban geographic information data warehouse
CN109739943A (en) Change statistical processing methods towards natural resources vector ground mulching
Feldman et al. Evidence-based economic development policy
CN104820684A (en) Fast on-line analysis processing method based on spatial position
CN106951453A (en) A kind of geographical entity coding method of quick renewal and data sharing
CN108280562A (en) A kind of method of specification electric power enterprise data resource
CN108776868A (en) A kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data
Wang et al. A systematic approach for public-private partnership projects CSFs evaluation
CN107423998A (en) A kind of visualization sales data management method and system based on SaaS platforms
Pandey et al. GIS: scope and benefits
CN104219088A (en) Hive-based network alarm information OLAP method
CN108875087A (en) A method of description things space attribute is simultaneously searched based on the description
CN104091199B (en) The nerve network system of city intelligent commercial planning
CN103345485B (en) A kind of mainframe platform dynamic statement automatic generation method and system
Fujii et al. How does Vietnam’s accession to the world trade organization change the spatial incidence of poverty?
Mkrttchian Human Capital management in the context of the implementation of digital intelligent decision support systems and knowledge management: theoretical and methodological aspects
CN112231301A (en) Yellow river water sand change data warehouse

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: 1107, block a, Nongke building, No. 11, Shuguang garden middle road, Haidian District, Beijing, 100097

Patentee after: Information technology research center of Beijing Academy of agricultural and Forestry Sciences

Address before: 100097 318b, block a, agricultural science building, 11 Shuguang Huayuan Middle Road, Haidian District, Beijing

Patentee before: BEIJING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE