Leveraging information-theoretic measures like mutual information and v-measure to quantify spatial associations between patterns (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>; Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>).
Version: | 0.1.0 |
Depends: | R (≥ 4.1.0) |
Imports: | dplyr, purrr, sdsfun (≥ 0.6.0), sf |
LinkingTo: | Rcpp, RcppThread |
Suggests: | knitr, Rcpp, RcppThread, readr, rmarkdown, tibble |
Published: | 2024-12-23 |
Author: | Wenbo Lv [aut, cre, cph] |
Maintainer: | Wenbo Lv <lyu.geosocial at gmail.com> |
BugReports: | https://github.com/stscl/itmsa/issues |
License: | GPL-3 |
URL: | https://stscl.github.io/itmsa/, https://github.com/stscl/itmsa |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | itmsa results |
Reference manual: | itmsa.pdf |
Vignettes: |
icm (source) vm (source) |
Package source: | itmsa_0.1.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): itmsa_0.1.0.tgz, r-oldrel (arm64): itmsa_0.1.0.tgz, r-release (x86_64): itmsa_0.1.0.tgz, r-oldrel (x86_64): itmsa_0.1.0.tgz |
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