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It is essential to adopt parallel computing technology to rapidly rasterize massive polygon data.
Lastly, to identify neighborhood land uses, this study used GIS polygon data maintained by the Seoul Institute.
Figures 10 and 11 below are a snapshot of the road network and polygon data visualization from application respectively.
Figure 13 shows a thumbnail image of global polygon data classified according to the terrain groups in Fig. 12.
For the three C pools investigated, model simulation provided a regional estimate, while forest inventory, plot, and soil polygon data provided an estimate of the spatial variation.
By transforming the original land use polygon data into raster data at eleven aggregate scales, the fractal dimensions of 57 landscape metrics as defined in FRAGSTATS were assessed.
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The land use, geology, and soil maps were extracted from the Ministry of Agriculture and Fisheries, Department Agriculture Land-use Gin (ALGIS) in polygon shape file data, and then thematic layer maps were generated using ArcMap 10.1.
The sources were primarily thematic raster but also polygon and point data.
We evaluated the extent to which each polygon explains the data, by calculating the RMS distance of points outside the polyhedron.
It encompasses the total amount of niche space occupied by a set of individuals and is measured as the convex hull area (the smallest possible polygon comprising all data points in a two-dimensional space, Fig. S3).
When transforming the raster data into polygons, some incorrect polygon slope units may appear: very small polygon slope units and inconsistent polygon slope units.
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