Package: GPSeqClus 1.4.0
Justin Clapp
GPSeqClus: Sequential Clustering Algorithm for Location Data
Applies sequential clustering algorithm to animal location data based on user-defined parameters. Plots interactive cluster maps and provides a summary dataframe with attributes for each cluster commonly used as covariates in subsequent modeling efforts. Additional functions provide individual keyhole markup language plots for quick assessment, and export of global positioning system exchange format files for navigation purposes. Methods can be found at <doi:10.1111/2041-210X.13572>.
Authors:
GPSeqClus_1.4.0.tar.gz
GPSeqClus_1.4.0.tar.gz(r-4.5-noble)GPSeqClus_1.4.0.tar.gz(r-4.4-noble)
GPSeqClus_1.4.0.tgz(r-4.4-emscripten)GPSeqClus_1.4.0.tgz(r-4.3-emscripten)
GPSeqClus.pdf |GPSeqClus.html✨
GPSeqClus/json (API)
| # Install 'GPSeqClus' in R: |
| install.packages('GPSeqClus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ML_ex_dat - Sample Data for Sequential Clustering Routine
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:6445822263. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 12 2024 |
| R-4.5-linux | OK | Dec 12 2024 |
Exports:exp_clus_gpxGPSeq_clusind_clus_kml
Dependencies:base64encbslibcachemclassclassIntclicolorspacecpp11crosstalkdata.tableDBIdigeste1071evaluatefarverfastmapfontawesomefsgenericsgeospheregluehighrhtmltoolshtmlwidgetsjquerylibjsonliteKernSmoothknitrlabelinglatticelazyevalleafletleaflet.extrasleaflet.providerslifecyclelubridatemagrittrMASSmemoisemimemunsellplyrpngproxypurrrR6rappdirsrasterRColorBrewerRcpprlangrmarkdowns2sassscalessfspstringistringrsuncalcterratimechangetinytexunitsvctrsviridisLitewkxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| label plots | addTitle |
| Export cluster .gpx file | exp_clus_gpx |
| Sequential cluster algorithm of location data | GPSeq_clus |
| Plot individual cluster .kml | ind_clus_kml |
| Julian Conversion | julian_conv |
| Sample Data for Sequential Clustering Routine | ML_ex_dat |
| arrange columns | moveMe |