statistics regression 5-GWR for Multiple Predictors Gridded Model Output

statistics_regression_5-GWR_for_Multiple_Predictors__Gridded_Model_Output

Computable Model OpenGMS Model-Service Package
  20

Contributor

contributed at 2019-05-09

MDL

Style statistics_regression
Categories SAGA / Spatial and Geostatistics > Regression
Language EN_US
Name GWR for Multiple Predictors (Gridded Model Output)
Keywords GWR for Multiple Predictors (Gridded Model Output)
Abstract Geographically Weighted Regression for multiple predictors. Predictors have to be supplied as attributes of ingoing points data. Regression model parameters are generated as continuous fields, i.e. as grids.Reference:
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Type Property Value
Assemblies GDALRasterMapping.exe $(DataMappingPath)\GDALRasterMapping\
OGRVectorMapping.exe $(DataMappingPath)\OGRVectorMapping\

How to Cite

songjie (2019). statistics regression 5-GWR for Multiple Predictors Gridded Model Output, Computable Model, OpenGMS, https://geomodeling.njnu.edu.cn/computableModel/9fc55edc-00c1-4a5c-9734-893689d88b4c
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Contributor

contributed at 2019-05-09

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