Information-Theoretic Measures for Spatial Association

Leveraging information-theoretic measures like mutual information and v-measure to quantify spatial associations between patterns (Nowosad and Stepinski (2018) ; Bai, H. et al. (2023) ).


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Information-Theoretic Measures for Spatial Association

Installation

  • Install from CRAN with:
install.packages("itmsa", dep = TRUE)
install.packages("itmsa",
                 repos = c("https://stscl.r-universe.dev",
                           "https://cloud.r-project.org"),
                 dep = TRUE)
  • Install from source code on GitHub with:
if (!requireNamespace("devtools")) {
    install.packages("devtools")
}
devtools::install_github("stscl/itmsa",
                         build_vignettes = TRUE,
                         dep = TRUE)

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("itmsa")

0.1.0 by Wenbo Lv, 2 years ago


https://stscl.github.io/itmsa/, https://github.com/stscl/itmsa


Report a bug at https://github.com/stscl/itmsa/issues


Browse source code at https://github.com/cran/itmsa


Authors: Wenbo Lv [aut, cre, cph]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, purrr, sdsfun, sf

Suggests knitr, Rcpp, RcppThread, readr, rmarkdown, tibble

Linking to Rcpp, RcppThread


Suggested by gdverse.


See at CRAN