Package: LandComp 0.0.5.9000
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.
Authors:
LandComp_0.0.5.9000.tar.gz
LandComp_0.0.5.9000.zip(r-4.5)LandComp_0.0.5.9000.zip(r-4.4)LandComp_0.0.5.9000.zip(r-4.3)
LandComp_0.0.5.9000.tgz(r-4.4-any)LandComp_0.0.5.9000.tgz(r-4.3-any)
LandComp_0.0.5.9000.tar.gz(r-4.5-noble)LandComp_0.0.5.9000.tar.gz(r-4.4-noble)
LandComp_0.0.5.9000.tgz(r-4.4-emscripten)LandComp_0.0.5.9000.tgz(r-4.3-emscripten)
LandComp.pdf |LandComp.html✨
LandComp/json (API)
NEWS
# Install 'LandComp' in R: |
install.packages('LandComp', repos = c('https://ladylavender.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ladylavender/landcomp/issues
- hexagonal_data - Sample vegetation data with hexagonal grid
- square_data - Sample vegetation data with square grid
Last updated 10 months agofrom:da90d3613c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:calculate_SpatialUnitSizeLandComp
Dependencies:classclassIntcodetoolsDBIdigeste1071futurefuture.applyglobalsKernSmoothlistenvmagrittrMASSparallellyproxyRcpps2sfunitswk
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Number of grid cells covered by enlarged spatial units | calculate_SpatialUnitSize |
Sample vegetation data with hexagonal grid | hexagonal_data |
LandComp: quantify landscape diversity and structure | LandComp |
Sample vegetation data with square grid | square_data |