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The Algorithm Optimization and Error Analysis for Vector Polygon to Raster Conversion in GIS

Author: ShiZuo
Tutor: ZhouChengHu
School: Shandong University of Science and Technology
Course: Cartography and Geographic Information Engineering
Keywords: GIS Raster data Optimization equation Administrative grid Error Analysis
CLC: P208
Type: Master's thesis
Year: 2008
Downloads: 59
Quote: 0
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Abstract


Rasterized vector data is a fundamental problem , the traditional geographic information systems , the most in-depth and rasterized vector polygon . Grid data model widely used vector data to raster data conversion higher requirements, such as the use of grid data model area statistics and Regional analysis , we tried to keep elements of the area of ??the smallest error in data conversion . Minimum area change for the polygon vector and raster conversion , a security product type vector and raster conversion model (Equal-area conversion, known as EAC) have been proposed , the principle of optimization of the model is based on the area of ??compensation , taking full account of the polygon on the basis of the topological adjacency relationship , to ensure that the transform minimum area of each polygon , similar geometric shape characteristics (convex, concave , etc.) , the accuracy and stability of the EAC extraction model transformation has certain advantages , in theory, there are still many needs improvement place. In this paper, In EAC model on the basis of the further work . First, the angle calculated from the matrix optimization , according to the characteristics of the model of the matrix , the boundary cell 000 divided into the grid element in the arc segment , and the Results of lattice points , respectively, given area smallest error constraint the optimization equation model of the vector and raster conversion the large amount of data to vector data rasterized . Second , the use of MATLAB as a computing platform to administrative boundary grid model , for example , the use of optimization equation model of the small range of three adjacent polygon boundary rasterized , and mutual compensation area of ??dominant principle of distribution for comparison. Finally , select considering polygon spatial structure of the data set , and comparative analysis with the the area dominant model (PolyGRID) in the the EAC model and ArcGIS .

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