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IDSA (version 2.1)

An Interactive Detector for Spatial Associations

Description

Method of interactive detector for spatial associations (IDSA) as described in Yongze Song (2021) . IDSA is used to quantify the power of interactive determinant (PID) between a spatial response variable and explanatory variables. IDSA is developed based on methods of spatial heterogeneity.

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Version

Install

install.packages('IDSA')

Monthly Downloads

32

Version

2.1

License

GPL-2

Maintainer

Yongze Song

Last Published

April 18th, 2021

Functions in IDSA (2.1)

Plot spatial discretization matrix.

Selecting optimal interaction for IDSA model.

Selecting optimal interaction for GD model.

Simulation data.

Ratio of significantly different zones.

SPADE model with spatial discretization parameters.

Spatial dependence parameter.

PSD with an overlay variable.

Selecting and adding a variable to improve PID.

Spatial discretization.

Strategy 1: Optimal spatial data discretization for individual variables based on SPADE model.

Power of spatial and multilevel discretization determinant (PSMD) of SPADE model for an individual explanatory variable.

Power of spatial determinant (PSD).

Spatial fuzzy overlay.

IDSA model with spatial discretization parameters.

Strategy 2: Optimal spatial data discretization for individual variables based on SPADE model.

Power of interactive determinant for multiple explanatory variables in IDSA model.

IDSA of all combinations