CRAN/E | SecDim

SecDim

The Second Dimension of Spatial Association

Installation

About

Most of the current methods explore spatial association using observations at sample locations, which are defined as the first dimension of spatial association (FDA). The proposed concept of the second dimension of spatial association (SDA), as described in Yongze Song (2022) doi:10.1016/j.jag.2022.102834, aims to extract in-depth information about the geographical environment from locations outside sample locations for exploring spatial association.

Key Metrics

Version 3.2
R ≥ 4.1.0
Published 2023-05-20 335 days ago
Needs compilation? no
License GPL-2
CRAN checks SecDim results

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Maintainer

Maintainer

Yongze Song

yongze.song@outlook.com

Authors

Yongze Song

aut / cre

Material

Reference manual
Package source

Vignettes

'SecDim' Package for The Second Dimension of Spatial Association

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SecDim archive

Depends

R ≥ 4.1.0

Imports

stats
RcppArmadillo
methods
geosphere

Suggests

knitr
rmarkdown

Reverse Imports

geosimilarity