statistics grid 5-Zonal Grid Statistics

statistics_grid_5-Zonal_Grid_Statistics

Computable Model OpenGMS Model-Service Package
  40

Contributor

contributed at 2019-05-09

MDL Description

Style statistics_grid
Categories SAGA / Spatial and Geostatistics > Grids
Language EN_US
Name Zonal Grid Statistics
Keywords Zonal Grid Statistics
Abstract The tool calculates zonal statistics and reports these in a table. The tool can be used to create a contingency table of unique condition units (UCUs). These units are delineated from a zonal grid (e.g. sub catchments) and optional categorical grids (e.g. landcover, soil, ...). It is possible to calculate descriptive statistics (n, min, max, mean, standard deviation and sum) for each UCU from optional grids with continious data (e.g. slope; aspect must be handled specially, please use the "Aspect" input parameter for such a grid). The number of input grids is only limited by available memory.The tool has four different modes of operation:(1) only a zonal grid is used as input. This results in a simple contingency table with the number of grid cells in each zone.(2) a zonal grid and additional categorical grids are used as input. This results in a contingency table with the number of cells in each UCU.(3) a zonal grid and additional grids with continuous data are used as input. This results in a contingency table with the number of cells in each zone and some simple statistics for each zone. The statistics are calculated for each continuous grid.(4) a zonal grid, additional categorical grids and additional grids with continuous data are used as input. This results in a contingency table with the number of cells in each UCU and the corresponding statistics for each continuous grid.Depending on the mode of operation, the output table contains information about the categorical combination of each UCU, the number of cells in each UCU and the statistics for each UCU. A typical output table may look like this:<table border="1"><tr><td>ID Zone</td><td>ID 1stCat</td><td>ID 2ndCat</td><td>Count UCU</td><td>N 1stCont</td><td>MIN 1stCont</td><td>MAX 1stCont</td><td>MEAN 1stCont</td><td>STDDEV 1stCont</td><td>SUM 1stCont</td></tr><tr><td>0 </td><td>2 </td><td>6 </td><td>6 </td><td>6 </td><td>708.5 </td><td>862.0 </td><td>734.5 </td><td>62.5 </td><td>4406.8 </td></tr><tr><td>0 </td><td>3 </td><td>4 </td><td>106 </td><td>106 </td><td>829.1 </td><td>910.1 </td><td>848.8 </td><td>28.5 </td><td>89969.0 </td></tr></table>
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Type Property Value
Assemblies GDALRasterMapping.exe $(DataMappingPath)\GDALRasterMapping\
OGRVectorMapping.exe $(DataMappingPath)\OGRVectorMapping\

How to Cite

Jie Song (2019). statistics grid 5-Zonal Grid Statistics, Computable Model, OpenGMS, https://geomodeling.njnu.edu.cn/computableModel/cc353105-fa7f-4d74-9cc6-b52e6b300fd4
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Contributor

contributed at 2019-05-09

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