Package: motif 0.6.5

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_0.6.5.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
motif/json (API)

# Install 'motif' in R:

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

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

Pkgdown/docs site:https://jakubnowosad.com

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

categorical-raster global-ecology landscape-ecology spatial cpp

7.31 score 66 stars 62 scripts 302 downloads 14 mentions 14 exports 29 dependencies

Last updated from:981b85a63e. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	204
linux-devel-x86_64	OK	190
source / vignettes	OK	301
linux-release-arm64	OK	213
linux-release-x86_64	OK	187
macos-release-arm64	OK	108
macos-release-x86_64	OK	232
macos-oldrel-arm64	OK	116
macos-oldrel-x86_64	OK	470
windows-devel	OK	179
windows-release	OK	185
windows-oldrel	OK	231
wasm-release	OK	159

Exports:lsp_add_clusters lsp_add_examples lsp_add_quality lsp_add_sf lsp_add_stars lsp_add_terra lsp_compare lsp_extract lsp_mosaic lsp_restructure lsp_search lsp_signature lsp_to_dist lsp_transform

Dependencies:abind class classInt cli comat DBI e1071 glue KernSmooth lifecycle magrittr MASS philentropy pillar pkgconfig poorman proxy Rcpp RcppArmadillo RcppParallel rlang s2 sf stars tibble units utf8 vctrs wk

Introduction to the motif package

Rendered fromv1_intro.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Determine unique classes (internal function)	determine_classes
Adds clusters' ids to a lsp object	lsp_add_clusters
Adds spatial data of each region in an lsp or sf object	lsp_add_examples lsp_add_examples.lsp lsp_add_examples.sf
Calculates quality metrics of clustering or segmentation	lsp_add_quality
Creates or adds a sf object	lsp_add_sf lsp_add_sf.default lsp_add_sf.lsp
Creates or adds a stars object	lsp_add_stars lsp_add_stars.default lsp_add_stars.lsp
Creates or adds a terra object	lsp_add_terra
Comparison between spatial patterns	lsp_compare
Extracts a local landscape	lsp_extract
Creates a raster mosaic	lsp_mosaic
Changes structure of the lsp object	lsp_restructure
Search for similar spatial pattern	lsp_search
Creates a spatial signature	lsp_signature
Calculate Distance Matrix	lsp_to_dist
Transforms lsp objects	lsp_transform
Prepares window* arguments (internal function)	prepare_window