statistics grid 15-Focal PCA on a Grid

statistics_grid_15-Focal_PCA_on_a_Grid

Computable Model OpenGMS Model-Service Package
  50

Contributor

contributed at 2019-05-09

MDL Description

Style statistics_grid
Categories SAGA / Spatial and Geostatistics > Grids
Language EN_US
Name Focal PCA on a Grid
Keywords Focal PCA on a Grid
Abstract This tool uses the difference in cell values of a center cell and its neighbours (as specified by the kernel) as features for a Principle Components Analysis (PCA). This method has been used by Thomas and Herzfeld (2004) to parameterize the topography for a subsequent regionalization of climate variables with the principle components as predictors in a regression model.
Show Detail
Type Property Value
Assemblies GDALRasterMapping.exe $(DataMappingPath)\GDALRasterMapping\
OGRVectorMapping.exe $(DataMappingPath)\OGRVectorMapping\

How to Cite

Jie Song (2019). statistics grid 15-Focal PCA on a Grid, Computable Model, OpenGMS, https://geomodeling.njnu.edu.cn/computableModel/edcb2afb-043c-440a-be10-753f801361f2
Copy

QR Code

Contributor

contributed at 2019-05-09

QR Code

This computable model has not been deployed, do you want to deploy it now?

Deploying...

Deploy successfully!

Deploy failed! Please try again.

Cancel OK OK

We have provided several servers of different platforms for model deploying.

If this model was contributed by you, and you want to deploy this model only on your model server, please change its content type to 'md5' in your space.

{{container.hardware.hostName}}

{{container.hardware.system}} {{container.hardware.version}}

{{container.hardware.cpu_Core}} Core - {{container.hardware.totalMemory}} RAM - {{container.hardware.diskAll}} Hard Disk

Running
Offline
Deploy Cancel