Generate Grid Map using SuperMap iDesktopX 11i
The grid map is simply a method of using spatial aggregation method to express the distribution and statistical characteristics of spatial data. Its basic principle is that: based on the grid aggregation algorithm, the spatial region is divided into the grid cells in regular shape, each grid cell is divided into multiple levels, high-level grid cells are divided into multiple low- level cells, and each grid cell has statistics information.
SuperMap supports the construction of grid aggregation map for the point dataset, and provides two types of grid types for display, one is rectangular and the other one is hexagonal. Then the number of points in each grid cell is calculate and is as the statistical value of the grid, the weight information of the point can also be introduced; Finally, based on soring the statistics values of the grid cells, use different color to fill the grids.
The grid map contains the following elements:
Grid Type: Each grid cell is a uniformly sized grid that can be quadrilateral or hexagonal. The size of each grid cell is fixed. Each grid is used to count the points falling within each grid cell.
Label: Each grid has a label that is the statistical value of the grid cell, which can be the number of point objects falling within each grid cell, or the weighted value.
Grid Style: The fill color of the grid cell represents the distribution trend of the grid statistics, and its color is from deep to shallow, indicating that the value of the grid cell is from large to small. In addition, you can also set the grid rectangle border style.
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SuperMap provides two gridding types including quadrilateral grid and hexagonal grid.
A heat map can represent spatial distribution and changing trend of a geographic phenomenon like density and temperature with colors intuitively. The following map is produced from point data, reflecting tourist sites distribution of Zhejiang province.
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