76 results about "Spacial Analysis" patented technology

A National Online Parcel-Level Map Data Portal (NPDP) is provided that optimizes online delivery of parcel-level maps and linked attribute data. To do this, the NPDP manages a database of assembled and current vector based parcel data in a spatial format (GIS) that enables geocoded parcel boundaries to be linked to property tax records. A user enters a street address into an appropriate screen window to call up and view road right-of-ways, all parcel boundaries and the "exact" address location as a highlighted parcel area. In addition, a list of property record attributes such as owner, use code, assessed value and year constructed can be displayed. Other on screen parcels can likewise be selected if one wishes to view their linked attributes. Subscribers may customize the NPDP to perform a variety of spatial analysis / reporting functions. Under public / private alliances, agreements are negotiated with individual property assessor's offices whereby they receive a portion of NPDP service provider revenue in return for parcel map database updates. Such on-going commerce between data sponsors and the NPDP service provider is utilized to assure a sustained and expanding flow of increasingly competent content.

The invention provides a method for extracting land for teaching by using remote sensing image, relative elevation and geographic ontology, which comprises the following steps of: extracting a shade, a roof and a playground from a vectorgraph of a remote sensing image on a preset district; calculating the area of the extracted shade, producing a bounding rectangle on the shade, calculating the area, the perimeter, the length and the width of the bounding rectangle and determining the height of a building according to the ratio of the area of the shade to the area of the bounding rectangle; converting the height of the building into floor number in terms that the height is 3.5 meters in each floor; calculating the area of the extracted roof; multiplying the area of the roof by the floor number to obtain the building area of each building; calculating the area of the extracted playground; acquiring the total building area of the school by using the area of the playground; and determining the range of the land for teaching by using spatial analysis according to the total building area of the school. By using the method, the remote sensing technology is successfully applied to the field of extraction of the land for teaching and can be used for extracting the land for teaching; in addition, the extracted information for the land for teaching is comprehensive and is convenient foraccurately classifying the land types.

The invention belongs to the field of virtual geographical environment research of a geographic information system, particularly relates to an outburst flood routing simulation and analysis technique, and relates to a cellular automata based rapid outburst flood routing simulation and analysis method. By the method, the problem that an error between a final numerical analysis result and actual water regimen is large due to randomness of cellular scale partitioning at present can be solved; meanwhile, accurate and rapid comprehensive simulation and analysis can be performed on dam-break flood routing and influences by means of reasonable setting of a cellular neighborhood range and combination of spatial analysis capacity of a GIS (geographic information system) and spatial-temporal modeling capacity of cellular automata simulation. The method includes construction of a two-dimensional cellular automata simulation model, optimization of a cellular spatial data structure and virtual geographical environment based visual simulation and analysis.

The invention discloses a two-dimensional and three-dimensional integrated GIS (Geographic Information System) based on live-action three-dimensional. The system comprises a data layer, a service layer and an application layer, the data layer comprises a data acquisition module, a data processing module and a data storage module; the data acquisition module comprises an unmanned aerial vehicle inclined image, a digital line map, a three-dimensional model, topographic data, high-resolution data, attribute data and business data; the service layer comprises a map rendering module and a map service publishing module; and the application layer comprises a two-dimensional and three-dimensional space measurement module, a two-dimensional and three-dimensional integrated display module, a POI search module, an intervisibility analysis module, a dynamic visual range analysis module, a two-dimensional and three-dimensional map plotting module, a two-dimensional and three-dimensional path planning module, a two-dimensional and three-dimensional trajectory data analysis module and a two-dimensional and three-dimensional model real-time monitoring module. According to the invention, the spatial analysis capability of the two-dimensional geographic information system and the display capability of the three-dimensional geographic information system are fused together, and the two-dimensionaland three-dimensional integrated linkage of the map data of the GIS framework is realized.

The invention provides a night light intensity-based estimation method of an average house price of city residences. The method includes: collecting and screening average house price data to obtain average house prices of residence and commodity houses of a target city over a plurality of historical years; acquiring remote-sensing DMSP / OLS night light data for preprocessing to obtain regional night light remote-sensing data of the target city over the corresponding historical years, and obtaining average light intensities by counting; carrying out correlation analysis of the average light intensities and the average house prices of the residence and commodity houses of the target city, establishing and comparing a regression model of the average light intensities and the average house prices of the target city, carrying out reasonableness evaluation on the regression model, and estimating the average house price of the city residences in a future year according to the regression model when verification passes. According to the method, on the one hand, a method of spatial analysis is integrated into study of house price statistics, and on the other hand, the remote-sensing image data which is famous for real-time performance and objectivity is also combined; and the method has important guiding significance for city construction and planning.

The invention relates to the technical field of environmental engineering, in particular to a GIS-based refuse landfill site selection method. The method comprises the following steps: S1, acquiring geographic data; S2, digitizing the geographic data into graphic data by using geometrical bodies and graphic symbols, and storing the graphic data into a newly-built spatial geographic database; S3, making each GIS thematic map; S4, performing spatial analysis on each GIS thematic map; S5, establishing a comprehensive evaluation system hierarchical structure model for site selection of the refuselandfill, and performing suitability index analysis on the candidate regions of the refuse landfill; and S6, outputting an optimal refuse landfill site selection map. According to the method of the invention, based on the GIS platform, after suitability analysis is carried out by utilizing the spatial analysis function and the hierarchical structure model of the GIS platform, a result is visuallyoutput, the method can be quickly and accurately used for quickly selecting the refuse landfill with less influence on the surrounding environment, and the cost is reduced.

The invention relates to a graphic space superposition analysis drafting method of a complex vector polygon, belonging to the technical field of spatial analysis drafting and spatial data mining techniques in a geographic information system. The method comprises the steps of: converting two vector polygon graphs into precision run length coding graphs; carrying out overlying transverse superposition, polygon spanning detection and decomposition on another vector polygon graphic chain segment in an interleaved mode and a mode that one of the precision run length coding graphs is used as a background base graph, so as to obtain resolved and unresolved chain segments; screening a qualified chain segment which conforms to the superposition mode to be used as a constituting chain segment of a superposition achievement vector polygon graph; and constructing the superposition achievement vector polygon graph containing a definite spatial relationship. According to the graphic space superposition analysis drafting method, the intersecting judgment of a great number of chain segments and possible misjudgment and omission which are caused by the direct superposition of vector polygon graphs are avoided, the condition for effectively establishing a new topology relationship is created, the operability, the robustness and the practicability of a vector polygon graphic spatial superposition analysis drafting technique are improved.

The invention discloses a scene fusion visualized method under a geographic information platform. Fusion of an upper scene and a bottom scene is synchronized by (1) synchronizing a map projection; (2)synchronizing a view frustum; (3) establishing a bidirectional interaction function; (4) synchronizing a view matrix; and (5) synchronizing the azimuth, inclination angle and distance to the center of the view matrix. Connection is established after synchronization so that the upper scene and the bottom scene are kept consistent in space analysis. A mechanism cyclic rendering scene is determinedso that a bottom 3D WebGIS platform can be fused with different WeB GIS scenes. According to the method, different 2.5D or 2D GIS scenes are synchronized in state and rendered via the same algorithm,scene elements match completely, and sound bidirectional interaction is established between entities. The method can be used to enrich the visualization form of the GIS platform, reduce the development cost, and improve the applicability of the platform.

The invention provides dynamic graphical method and device of a geographic information application and analysis model. The method comprises the following steps of: extracting space geographic information analysis model key words from the structural object information of the application and analysis model; establishing a space analysis model according to a word analysis result of the obtained space geographic information analysis model key words; and dynamically displaying a space geographic information analysis result generated by the space analysis model in the graphic form on a map. The analysis result of a geographic information space model of an application and analysis scheme can be dynamically displayed on an electronic map in a visual graphic form through establishing an incidence relation between the structural object information of the application and analysis model and the space analysis model, which solves the problem of low degree of automation of the traditional application and analysis model in a graphical process and realizes the purposes of simple input, intelligent analysis and automatic display.

A method and apparatus for improved defocus detection on wafers. The use of hyperspectral imaging provides increased sensitivity for local defocus defects, and the use of Fourier Space analysis provides increased sensitivity for extended defocus defects. A combination of the two provides improved overall sensitivity to local and extended defocus defects.

The invention discloses an automatic labeling method for a railway external environment risk source sample. The method comprises the steps that 1, DOM data and DLG collection result data in a regionalrange are sorted and subjected to quality inspection; 2, attention risk source target element information is extracted and screened; 3, vector polygon element topology errors are checked and corrected; 4, color uniformization processing is performed on the digital ortho-image; 5, a regular tile grid of the digital orthoimage is calculated and sample data is cut and output; 6, sample labeling range space analysis operation is performed; 7, the spatial position of the positive sample vector polygon is corrected; 8, a labeling result and an intermediate result are generated; 9, labeled data is checked and locally repaired; and 10, sample library data arrangement and unified output are performed. According to the method, the deep learning sample library is quickly generated from the large-format digital orthoimage data in batches, so that the sample labeling efficiency is effectively improved, the offset of vector acquisition and image representation ground object boundaries can be automatically corrected according to the sample data, and the sample labeling precision is improved.

The invention discloses an urban vitality and spatial social characteristics correlation measuring method and application, and the method comprises: taking a block obtained through road network segmentation as a basic spatial analysis unit in a certain urban range based on big data; taking the population density data as a measurement index of urban vitality; acquiring traffic network data and building vector data, and calculating to obtain a measurement index of the urban form; obtaining POI data in the range, and calculating to obtain a measurement index of the city function; obtaining population portrait data, and calculating to obtain a measurement index of social and economic characteristics; and establishing a multiple regression model of the urban form, the urban function, the social and economic characteristics and the urban vitality, thereby obtaining the correlation between the urban vitality and the spatial social characteristics. The relation between the urban vitality and the spatial social characteristics can be accurately obtained, an urban vitality evaluation system is expanded, and a guidance basis is provided for planning practice of improving the urban vitality.

The invention relates to a municipal road land acquisition house statistical method which comprises the following steps: S1, selecting and determining a land acquisition demolition area according to an actually measured topographic map provided by a survey bureau; S2, cleaning the topographic map, removing unassociated layers, and reserving house layers and annotations thereof; S3, performing format conversion on the cleaned topographic map, and importing the topographic map into GIS software; s4, in GIS software, detecting the house contour line, removing isolated line segments, and then performing topology analysis to form a zone file; according to the previously imported house annotation, performing attribute assignment on the area file, and establishing an attribute structure for judging whether the house is expropriated or not in the area file; and S5, importing the land expropriation and demolition area and the area file into a spatial analysis module together, performing intersection analysis to form an intersection file, and superposing the original house area file according to the attributes of the intersection file to obtain a result drawing of the house in the land expropriation and demolition area. And land acquisition and house demolition statistics becomes faster.

The invention discloses an interval coding-based geography markup language (GML) document index method, which belongs to the technical field of storage and query of spatial information in information technology. In the method, nodes in a GML document tree are coded in turn from a first accessed node to a last accessed node during preorder traversal; indexes of elements, attribute and texts are organized in a B+- tree mode, so that query speeds of value query and structure query are increased; the index of geometric nodes is organized in a R- tree mode, so that spatial query and analysis efficiency are improved; and an XQuery-based GML query language graphic query language (GQL) is taken as a query language, and three queries (non-spatial query, spatial query and hybrid query) are analyzed and compared. An experiment proves that a provided GML document coding scheme and an index mechanism are feasible, and value query and spatial analysis operation performed on a GML document can be effectively processed.

The invention relates to the field of geographic information data processing, in particular to a method and system covering AOI and POI standard address matching engines. The method comprises the following steps: S1, inputting address data; s2, performing standardized preprocessing and analysis on the address data; s3, logically combining the normalized address data, and fusing the address data into a plurality of block data with different levels, different partitions and different nodes through spatial analysis to form an accurate query condition; s4, matching the query condition with data ina standard address library, and if the matching is successful, returning accurate AOI and POI data; and if not, performing problem feedback. According to the method and system, different place name address bar data are subjected to spatial analysis and fusion, and finally divided into block data of different levels, different partitions and different nodes. The method and system can be well compatible with the situation that when an address matching engine is used originally, retrieval is conducted through alias, commonly known as retrieval. AOI and POI data can be returned at the same time,and point-to-surface and surface-to-point bidirectional intercommunication is achieved.

The invention discloses a spatial analysis method and system based on a Beidou grid code and a three-dimensional engine. The method comprises the following steps: encoding geographic spatial data according to the Beidou grid code; loading and rendering the geographic space data by using a three-dimensional engine; according to different accessed three-dimensional engines, rewriting the encoded geographic space data; and uniformly packaging interfaces of different three-dimensional engines to form a uniform map API (Application Program Interface) for externally providing a uniform API interface. According to the method, the Beidou grid code technology is utilized, the three-dimensional geographic space data is lightened, discretized and gridded, meanwhile, efficient association and integration of the three-dimensional data and the space sensing data are achieved on the basis of grid coding, the calculation efficiency of the massive three-dimensional geographic space data can be multiplied, and meanwhile, consumption of redundant memory and disk space is avoided.

The invention discloses an ArcGIS-based geomorphic type division method, which is used for dividing geomorphic types by establishing a model and a division system in ArcGIS, and comprises the following steps of: data preprocessing: generating a basic map layer on the basis of a digital elevation model; terrain factor extraction: extracting an optimal terrain factor by using ArcGIS; geomorphic typedivision: using ArcGIS to establish a model and a division system to divide geomorphic types. According to the invention, a digital elevation model (DEM) is used in ArcGIS and a spatial analysis processing function is applied to carry out automatic discrimination and division of landform types; according to the method, topographic factors (elevation, gradient, topographic relief, earth surface cutting depth and the like) are extracted mainly based on a specification statistical unit, then multiple topographic factors are comprehensively analyzed, time and labor are saved, and standard consistency, system unification and quantification accuracy can be achieved.

The invention discloses a railway engineering construction organization image progress map automatic conflict checking method based on spatial analysis. The method comprises the following steps: S1, designing bottom-layer geometric primitive drawing interfaces and a data storage structure and a semantic association relationship of construction organization plan items, designing a drawing method of each module of a construction organization image progress map, and realizing automatic generation of the construction organization image progress map; S2, dividing construction activity constraint relationships into time constraint and space constraint, and establishing a construction activity-space-time constraint two-tuple model according to the maximum and minimum space-time constraint relationships; S3, designing a visual expression mode of the space-time constraint model, and designing a linkage adjustment mode of the space-time constraint model in a time dimension according to dynamic adjustment requirements of a construction activity; and S4, performing automatic conflict checking and intelligent early warning on the construction organization plan items by using a GIS topological rule and a spatial analysis method. According to the method, the automation level and intuition are improved, and the accuracy and rationality of a construction progress plan are ensured.

The invention relates to a rapid implementation method for space superposition analysis, and relates to the technical field of space superposition optimization. The invention discloses a parallel space superposition analysis method. An improved surface element structure PLA is utilized; high-precision parallel space filtering based on a parallel grid index technology is realized at an equipment end, and a candidate set is mapped to a GPU thread array in a fine-grained manner to realize parallel element refining processing, so that the many-core advantages of the GPU are fully exerted, and theanalysis efficiency of space superposition is improved; according to the space superposition analysis-oriented rapid implementation method provided by the invention, the performance of the algorithm can be improved by one order of magnitude compared with the implementation of a CPU (Central Processing Unit) on the aspect of surface-to-surface superposition analysis for processing dense data, and the method can be effectively applied to a scene with a higher real-time requirement; due to the advantages of the quick implementation method for spatial superposition analysis in spatial superposition analysis efficiency, a good exploration direction is provided for improving the performance of spatial analysis in a network map service mode.

The invention discloses a processing system of web map and geographical space analysis as well as a device and a method thereof. The system comprises a server for providing web map browsing and geographical space analysis and a computer connected with the server; the serve comprises a processing unit, an emblem service unit, a geographical database, a map image database and a server end communication unit, and the computer comprises a client communication unit and a browser. Map browsing speed is quickened and complete geographical space analysis is provided by adopting a self-developed emblem service, executing the geographical space analysis with brief mechanism, and utilizing the preset map image combined with the region browsed by a user to serve as a geographical image transmitting method.

The invention discloses a three-dimensional geographic information model space analysis method based on rules, and the method comprises the steps: obtaining a TOD monitoring index and a data resource,and establishing an association relation between the TOD monitoring index and the data resource based on a TOD logic relation; performing three-dimensional fitting on the TOD monitoring indexes and the data resources, creating a three-dimensional building model, and generating a first rule; based on the first rule, and according to TOD current situation evaluation and an expected target, adjusting the first rule, generating a second rule, adjusting the three-dimensional building model according to the second rule, implementing actual intervention on the urban space according to the second rule, and monitoring the intervened TOD urban big data based on the second rule. According to the method, spatial information can be visually displayed, multi-dimensional spatial analysis is enhanced, and the TOD city big data analysis efficiency is improved.

The invention discloses a spatial relationship knowledge graph data model representation method and system. The method comprises the following steps: constructing administrative division entity objects and grid space entity objects in a domain knowledge graph database; establishing subordinate and intersected relationships between entities of a grid space and an administrative division space basedon a spatial relationship analysis algorithm; carrying out geographic spatial relationship clustering analysis and spatial correlation search operation according to subordination relationships and adjacent relationships of grid space entities in a domain knowledge graph when the spatial relationship clustering analysis of massive spatio-temporal event data is carried out in order to greatly improve he real-time performance of spatial analysis operation in the field of public security business.

An emergency biohazard event visual intelligent decision-making supporting platform comprises an auxiliary module, a basic data module, a geographic environment module, a biological terrorist attack module, a bio-invasion module and an emergency infectious disease module. The auxiliary module provides auxiliary functions for the platform on the basis of Cesium technology, the basic data module isused for displaying basic geographic data and resource environment data, the geographic environment module is used for realizing multi-scale roaming, scene roaming and scene simulation, the biologicalterrorist attack module is used for analog simulation, hazard assessment, auxiliary decision making and intervention measures, the bio-invasion module is used for analog simulation, hazard assessment, auxiliary decision making and intervention measures of bio-invasion, and the emergency infectious disease module is used for analog simulation, hazard assessment, auxiliary decision making and intervention measures of emergency infectious diseases. The platform can realize platform crossing, is supportive of various map projection modes and capable of analyzing data temporally and spatially andcan be widely used for predicting simulation and hazard assessment of emergency biohazard events to assist decision makers in decision making.

The invention provides an underground pipeline informatization management and control system. The underground pipeline informatization management and control system comprises a pipeline database, a visual platform, a query subsystem, a distance measurement analysis subsystem and a labeling subsystem; the pipeline database stores pipeline information of the system; the visual platform is used for selecting subsystems and modules, providing an interface for querying the data information of the system for the user, and displaying the queried data; the ranging analysis subsystem is used for designing pipeline data according to a design instruction of a user; three-dimensional visualization is carried out on the pipe diameter, the material and the burial depth of the invisible underground pipeline through three-dimensional display of underground pipeline information, reliable basic information is provided for pipe network design, spatial analysis and topological analysis based on geographic information are provided, and a data model is provided for management decision making. The system adopts a transparency real-time adjustment mode to set surface image data transparent parameters, and the spatial three-dimensional relationship between a surface object and an underground pipeline is visually presented; and a user can conveniently observe the whole pipe network.

The invention provides an ecological space network optimization method considering the rationality of planning layout and part configuration. Based on a GIS spatial analysis technology, in combination with spatial analysis software such as SPSS, GuidosToolbox and coneform 2.6, a binary Logistic regression model is utilized to analyze the effect of social and economic factors in the evolutionary process of the urban ecological space. And social economic factors are introduced into ecological space ecological network construction, and the territorial space ecological network is constructed based on the social economic factors, the ecological landscape type and the land utilization type in combination with the ecological part connectivity of the ecological space. According to the method, economic development level and population density factors are introduced, the influence effect of the factors in the spatial layout and quantity structure evolution process of territorial space ecological parts is analyzed, the factors serve as important influence factors of ecological network construction, and the territorial space ecological network is reconstructed; therefore, decision suggestions are provided for realizing space optimization layout and optimizing the territorial space ecological safety pattern for territorial space planning.

The invention is suitable for the technical field of information, and provides a GIS-based refuse landfill site selection method, which comprises the steps of obtaining geographic data of a target area; establishing a geographic database and storing the geographic data into the geographic database; making geographic thematic maps corresponding to various geologies according to the geographic database; analyzing the geographic thematic map to obtain at least one candidate region in the target region; and constructing a site selection model to judge the site selection suitability of the candidate region, and when the candidate region meets the site selection suitability and conforms to the site selection model, judging that the candidate region is a selected region. The site selection methoddepends on a geographic information system platform, can utilize the spatial analysis function of the geographic information system and the intuition of result output to quickly and accurately selectthe refuse landfill with less influence on the surrounding environment, and is low in cost, short in time, high in evaluation accuracy, time-saving and labor-saving compared with the traditional manual on-site investigation.

The invention relates to the field of data processing, and provides a spatial analysis task processing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a spatial analysis task, and identifying a spatial analysis type of the spatial analysis task; obtaining a task division strategy corresponding to the spatial analysis type, and dividing the spatial analysis task into a plurality of sub-tasks according to the obtained task division strategy; calling a preset space analysis processing node to process the plurality of sub-tasks to obtain a sub-task processing result corresponding to each sub-task; reading a result merging rule matched with the task division strategy, and merging the sub-task processing results based on the result mergingrule to obtain a processing result of the spatial analysis task. According to the method, the spatial analysis task is split, the sub-task processing results are merged based on the result merging rule matched with the task division strategy, and the data processing amount corresponding to each sub-task is relatively small, so the time consumption of spatial analysis can be shortened, and the spatial analysis result can be provided in time.

The invention discloses a spatial geographic information big data processing system, which comprises a data management and application layer, an intermediate layer and an infrastructure layer, and ischaracterized in that the data management and application layer is used for carrying out classification and grading processing on data information and providing the processed data information to the outside; the intermediate layer is used for dynamically monitoring data interaction calling in the data management and application layer and recording a process; and the infrastructure layer is used for providing software and hardware support for the data management and application layer and the intermediate layer. According to the invention, spatial geographic information data is collected, managed and processed; by utilizing a cloud computing technology, a spatial analysis technology, a model analysis technology, a network technology, a database integration technology and the like and utilizing a big data analysis method, diversified and distinctive application of spatial geographic information is realized, and personalized application requirements of different industries and different directions on the spatial geographic information are met.

The invention discloses a metadata-based spatial analysis automatic calculation method. The method comprises the following steps: S1, constructing an element and analysis metadatabase; S2, constructing a dictionary library according to administrative division names, basic element names and analysis functions; S3, inputting a query text, performing word segmentation extraction and word segmentation analysis on the query text, decomposing a series of characters into independent and recognizable characters according to a certain rule, and obtaining word segmentation results of a plurality of keywords; S4, performing step-by-step matching based on one word segmentation result to obtain a service of the matched word segmentation result, and recording the service as FS; S5, obtaining element data based on the remaining word segmentation results and service matching, and recording the element data as FD; and S6, performing analysis and calculation in combination with FS and FD, namely performing calculation by taking the corresponding field value of the selected element data as an input parameter of an analysis function to obtain a final calculation result, and outputting the calculation result.

The invention discloses a land expropriation immigrant land area automatic measurement and calculation method, which realizes area automatic measurement and calculation and output by utilizing topology and space analysis technologies, and comprises the following steps: constructing surface elements and outputting line elements which do not participate in a tectonic plane based on land topographicmap data hierarchical topology; carrying out attribute association and logic error pattern spot output on each constructed layer element; carrying out attribute association on the basic pattern spot surface elements and other advanced surface elements to obtain complete attributes; and calculating the area by utilizing the basic pattern spot surface elements, creating a pattern spot number, and outputting a result. The method is highly integrated and simple to operate, and does not need deep professional knowledge. The method is high in automation degree, can quickly measure and calculate results, and is very high in efficiency. In addition, the method provides a map belonging debugging mechanism, finally ensures that a measurement result is consistent with a map surface through graph debugging and attribute debugging, and improves the measurement accuracy of land indexes of immigrant land expropriation.