Package: comat 0.9.5

comat: Creates Co-Occurrence Matrices of Spatial Data

Builds co-occurrence matrices based on spatial raster data. It includes creation of weighted co-occurrence matrices (wecoma) and integrated co-occurrence matrices (incoma; Vadivel et al. (2007) <doi:10.1016/j.patrec.2007.01.004>).

Authors:Jakub Nowosad [aut, cre], Maximillian H.K. Hesselbarth [ctb], Marco Sciaini [ctb], Sebastian Hanss [ctb]

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NEWS

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

Peer review:

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

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

On CRAN:

co-occurrencerasterspatial

9 exports 6 stars 1.82 score 2 dependencies 3 dependents 25 scripts 362 downloads

Last updated 10 months agofrom:1d0c988c33. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-win-x86_64OKSep 07 2024
R-4.5-linux-x86_64OKSep 07 2024
R-4.4-win-x86_64OKSep 07 2024
R-4.4-mac-x86_64OKSep 07 2024
R-4.4-mac-aarch64OKSep 07 2024
R-4.3-win-x86_64OKSep 07 2024
R-4.3-mac-x86_64OKSep 07 2024
R-4.3-mac-aarch64OKSep 07 2024

Exports:get_cocomaget_cocoveget_comaget_coveget_incomaget_incoveget_wecomaget_wecoveit_metric

Dependencies:RcppRcppArmadillo

A co-occurrence matrix (coma) representation

Rendered fromcoma.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2022-01-29
Started: 2020-03-20

A weighted co-occurrence matrix (wecoma) representation

Rendered fromwecoma.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2023-01-31
Started: 2020-03-20

An integrated co-occurrence matrix (incoma) representation

Rendered fromincoma.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2021-03-20
Started: 2020-03-30