geosimilarity: Geographically Optimal Similarity

Spatial prediction can be performed based on the geographical similarity theory. Geographically optimal similarity (GOS) model is a generalized model for accurate and reliable spatial prediction based on the geographical similarity theory.

Version:	1.1
Depends:	R (≥ 4.1.0)
Imports:	stats, SecDim
Published:	2022-05-17
Author:	Yongze Song [aut, cre]
Maintainer:	Yongze Song <yongze.song at postgrad.curtin.edu.au>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	geosimilarity results

Documentation:

Reference manual:

geosimilarity.pdf

Downloads:

Package source:	geosimilarity_1.1.tar.gz
Windows binaries:	r-devel: geosimilarity_1.1.zip, r-release: geosimilarity_1.1.zip, r-oldrel: geosimilarity_1.1.zip
macOS binaries:	r-release (arm64): geosimilarity_1.1.tgz, r-oldrel (arm64): geosimilarity_1.1.tgz, r-release (x86_64): geosimilarity_1.1.tgz, r-oldrel (x86_64): geosimilarity_1.1.tgz

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