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GD (version 1.4)

Geographical Detectors

Description

Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) and Jinfeng Wang (2016) . Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. The descriptions of the package, methods and case datasets refer to the citation information below.

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Version

Install

install.packages('GD')

Monthly Downloads

3,000

Version

1.4

License

GPL-2

Maintainer

Yongze Song

Last Published

May 2nd, 2018

Functions in GD (1.4)

stra2v

Generate two categorical or discretized variables determined strata variables
v2m

Converts a vector to a lower triangular matrix.
stra

Convert continuous data to strata variables
optidisc

Optimal discretization for continuous variables and visualization
riskmean

Calculate risk means within intervals and visualization
gdinteract

Calculate interaction detectors and visualization. The types of interactions include "Enhance, nonlinear", "Independent", "Enhance, bi-", "Weaken, uni-" and "Weaken, nonlinear".
gdm

Optimal discretization and geographical detectors for multiple variables and visulization
gdrisk

Calculate risk detectors and risk matrix and visualization
gdeco

Calculate ecological detectors and ecological matrix and visulization
citv

Count data within intervals for categorical or discretized variables
gd

Calculate geographical detectors
NDVI

Spatial datasets of vegetation index changes
disc

Convert continuous data to discretized data
H1N1

Spatial datasets of H1N1 flu incidences
sesu

Comparison of size effects of spatial units
Road

Spatial datasets of road damage conditions