Package: rdwplus 1.0.0
rdwplus: An Implementation of IDW-PLUS
Compute spatially explicit land-use metrics for stream survey sites in GRASS GIS and R as an open-source implementation of IDW-PLUS (Inverse Distance Weighted Percent Land Use for Streams). The package includes functions for preprocessing digital elevation and streams data, and one function to compute all the spatially explicit land use metrics described in Peterson et al. (2011) <doi:10.1111/j.1365-2427.2010.02507.x> and previously implemented by Peterson and Pearse (2017) <doi:10.1111/1752-1688.12558> in ArcGIS-Python as IDW-PLUS.
Authors:
rdwplus_1.0.0.tar.gz
rdwplus_1.0.0.zip(r-4.5)rdwplus_1.0.0.zip(r-4.4)rdwplus_1.0.0.zip(r-4.3)
rdwplus_1.0.0.tgz(r-4.4-any)rdwplus_1.0.0.tgz(r-4.3-any)
rdwplus_1.0.0.tar.gz(r-4.5-noble)rdwplus_1.0.0.tar.gz(r-4.4-noble)
rdwplus_1.0.0.tgz(r-4.4-emscripten)rdwplus_1.0.0.tgz(r-4.3-emscripten)
rdwplus.pdf |rdwplus.html✨
rdwplus/json (API)
# Install 'rdwplus' in R: |
install.packages('rdwplus', repos = c('https://apear9.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/apear9/rdwplus/issues
Last updated 1 years agofrom:600cc11263. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win | OK | Oct 24 2024 |
R-4.5-linux | OK | Oct 24 2024 |
R-4.4-win | OK | Oct 24 2024 |
R-4.4-mac | OK | Oct 24 2024 |
R-4.3-win | OK | Oct 24 2024 |
R-4.3-mac | OK | Oct 24 2024 |
Exports:burn_incheck_runningclear_maskcompute_iFLO_weightscompute_iFLS_weightscompute_metricscompute_metrics_precomputedconvert_to_integercoord_to_rasterderive_flowderive_streamsfill_sinksget_distanceget_flow_lengthget_watershedsinstall_extensionsplot_GRASSpoint_to_rasterrast_calcraster_to_mapsetrasterise_streamreclassify_streamsretrieve_rasterretrieve_vectorsearch_for_grassset_envirset_masksilencesnap_sitestoggle_silencevector_to_mapsetvibe_check
Dependencies:abindclassclassIntcliDBIe1071glueKernSmoothlifecyclemagrittrMASSproxyRcpprgrassrlangs2sfstarsstringistringrunitsvctrswkxml2