Package: motif 0.6.4

motif: Local Pattern Analysis

Describes spatial patterns of categorical raster data for any defined regular and irregular areas. Patterns are described quantitatively using built-in signatures based on co-occurrence matrices but also allows for any user-defined functions. It enables spatial analysis such as search, change detection, and clustering to be performed on spatial patterns (Nowosad (2021) <doi:10.1007/s10980-020-01135-0>).

Authors:Jakub Nowosad [aut, cre]

motif_0.6.4.tar.gz
motif_0.6.4.zip(r-4.5)motif_0.6.4.zip(r-4.4)motif_0.6.4.zip(r-4.3)
motif_0.6.4.tgz(r-4.4-x86_64)motif_0.6.4.tgz(r-4.4-arm64)motif_0.6.4.tgz(r-4.3-x86_64)motif_0.6.4.tgz(r-4.3-arm64)
motif_0.6.4.tar.gz(r-4.5-noble)motif_0.6.4.tar.gz(r-4.4-noble)
motif_0.6.4.tgz(r-4.4-emscripten)motif_0.6.4.tgz(r-4.3-emscripten)
motif.pdf |motif.html
motif/json (API)
NEWS

# Install 'motif' in R:
install.packages('motif', repos = c('https://nowosad.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/nowosad/motif/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

categorical-rasterglobal-ecologylandscape-ecologyspatial

14 exports 63 stars 4.22 score 29 dependencies 14 mentions 37 scripts 304 downloads

Last updated 26 days agofrom:1d4ee0baec. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-win-x86_64OKAug 23 2024
R-4.5-linux-x86_64OKAug 23 2024
R-4.4-win-x86_64OKAug 23 2024
R-4.4-mac-x86_64OKAug 23 2024
R-4.4-mac-aarch64OKAug 23 2024
R-4.3-win-x86_64OKAug 23 2024
R-4.3-mac-x86_64OKAug 23 2024
R-4.3-mac-aarch64OKAug 23 2024

Exports:lsp_add_clusterslsp_add_exampleslsp_add_qualitylsp_add_sflsp_add_starslsp_add_terralsp_comparelsp_extractlsp_mosaiclsp_restructurelsp_searchlsp_signaturelsp_to_distlsp_transform

Dependencies:abindclassclassIntclicomatDBIe1071fansiglueKernSmoothlifecyclemagrittrMASSphilentropypillarpkgconfigpoormanproxyRcppRcppArmadillorlangs2sfstarstibbleunitsutf8vctrswk

Introduction to the motif package

Rendered fromv1_intro.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2022-05-07
Started: 2020-04-02