71 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 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 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.

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 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 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 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.

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 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 an automatic conversion method from a building Mesh model to a CityGML model, and the method comprises the steps: firstly converting the built building Mesh model into a PLY format, and then calculating the normal vector of each surface patch contained in the model in the PLY format and the distance from the surface patch to an original point according to the vertexes on the surface patches; determining a discrimination rule according to the normal vector and the vertex coordinate of the patch, and performing semantic object recognition on the building in the model in the PLY format based on the discrimination rule; carrying out post-processing on the identified semantic plane object; and for the semantic plane object after post-processing, generating a geometric semantic integrated model by adopting expression and storage specifications of a CityGML model. The method supports most of conventional three-dimensional geometric model formats, is high in algorithm efficiency, less in manual interaction and low in modeling cost, the automatically constructed semantic model is high in precision and high in interoperability, and the deep application requirements oftopic retrieval, spatial analysis and the like in the three-dimensional GIS environment can be met.

The invention relates to the technical field of computer application and surveying and mapping geographic information. The invention particularly relates to a smart city space-time big data spatialization engine construction method based on an HMM model. The method comprises the steps of initiating a service access request through a client, preprocessing keywords, performing Chinese semantic analysis, obtaining indexes, retrieving a standard place name address database, sorting results, returning the results to the client and the like. According to the method, an HMM model is introduced to improve a traditional Chinese semantic parsing method, so that accurate understanding and efficient retrieval of Chinese address information are realized, geographic coordinates conforming to expected values are returned, and service support is provided for spatial analysis of spatio-temporal big data; through the steps of semantic analysis, Chinese word segmentation, index creation, standard addressdatabase access, matching degree calculation, result sorting and the like, high-precision and high-efficiency matching of Chinese place name addresses is realized, and support is provided for spatialization of smart city space-time big data.

The invention relates to a regional collapse hill susceptibility prediction method based on an improved frequency ratio-random forest model and a geographic detector. The method comprises the following steps of S1, spatially analyzing collapse hill catalog and related influence factors of a research area; and S2, calculating the contribution degree of the influence factors to the collapse space distribution based on a geographic detector, and selecting the influence factors with significant contribution degree to the collapse space distribution as subsequent evaluation indexes. S3, based on the improved frequency ratio model, establishing an initial collapse susceptibility level, and further determining a non-collapse grid unit sample; and S4, establishing an improved frequency ratio-random forest model based on the improved frequency ratio of each evaluation index, the collapse hill grid unit and the randomly selected non-collapse hill grid unit. According to the method, continuous data are fully utilized, and information of more evaluation indexes is reserved, so that the susceptibility prediction performance of a machine learning model is greatly improved.