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LandComp: Analysing Landscape Composition and Structure at Multiple Scales
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 |
| Author: |
Krisztina Dóra Konrád
 [aut, cre,
cph],
Ákos Bede-Fazekas
[aut, ths, cph],
Sándor Bartha
[cph],
Imelda Somodi
[ccp, ths, cph] |
| Maintainer: |
Krisztina Dóra Konrád <konrad.krisztina at ecolres.hu> |
| BugReports: |
https://github.com/ladylavender/LandComp/issues |
| License: |
MIT + file LICENSE |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=LandComp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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