doi:10.1007/BF00129432>). Functions can handle multilayered data. Requirements of the input: binary data contained by a regular square or hexagonal grid, and the grid should have projected coordinates.">

LandComp: Analysing Landscape Composition and Structure at Multiple Scales (original) (raw)

Changes of landscape diversity and structure can be detected soon if relying on landscape class combinations and analysing patterns at multiple scales. 'LandComp' provides such an opportunity, based on Juhász-Nagy's functions (Juhász-Nagy P, Podani J 1983 <doi:10.1007/BF00129432>). Functions can handle multilayered data. Requirements of the input: binary data contained by a regular square or hexagonal grid, and the grid should have projected coordinates.

Version: 0.0.5
Depends: R (≥ 2.10)
Imports: future, future.apply, sf
Suggests: knitr, rmarkdown, testthat
Published: 2024-02-06
DOI: 10.32614/CRAN.package.LandComp
Author: Krisztina Dóra KonrádORCID iD [aut, cre, cph], Ákos Bede-Fazekas ORCID iD [aut, ths, cph], Sándor Bartha ORCID iD [cph], Imelda Somodi ORCID iD [ccp, ths, cph]
Maintainer: Krisztina Dóra Konrád <konrad.krisztina at ecolres.hu>
BugReports: https://github.com/ladylavender/LandComp/issues
License: MIT + file
URL: https://github.com/ladylavender/LandComp,https://ladylavender.github.io/LandComp/
NeedsCompilation: no
Language: En
Citation: LandComp citation info
Materials: README, NEWS
CRAN checks: LandComp results

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