Package: dissever 0.2-3.9000

dissever: Spatial Downscaling using the Dissever Algorithm

Spatial downscaling of coarse grid mapping to fine grid mapping using predictive covariates and a model fitted using the 'caret' package. The original dissever algorithm was published by Malone et al. (2012) <doi:10.1016/j.cageo.2011.08.021>, and extended by Roudier et al. (2017) <doi:10.1016/j.compag.2017.08.021>.

Authors:Pierre Roudier [cre, aut], Brendan Malone [ctb]

dissever_0.2-3.9000.tar.gz
dissever_0.2-3.9000.zip(r-4.5)dissever_0.2-3.9000.zip(r-4.4)dissever_0.2-3.9000.zip(r-4.3)
dissever_0.2-3.9000.tgz(r-4.4-any)dissever_0.2-3.9000.tgz(r-4.3-any)
dissever_0.2-3.9000.tar.gz(r-4.5-noble)dissever_0.2-3.9000.tar.gz(r-4.4-noble)
dissever_0.2-3.9000.tgz(r-4.4-emscripten)dissever_0.2-3.9000.tgz(r-4.3-emscripten)
dissever.pdf |dissever.html✨
dissever/json (API)

Peer review:

Bug tracker:https://github.com/pierreroudier/dissever/issues

On CRAN:

5 exports 10 stars 1.53 score 81 dependencies 6 scripts 240 downloads

Last updated 4 years agofrom:37441ee1cc. Checks:OK: 7. Indexed: yes.

Exports:dissevergenerate_ciplot.disseverprint.disseversummary.dissever

Dependencies:bootcaretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergridExtragtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6rasterRColorBrewerRcpprecipesreshape2rlangrpartscalesshapespSQUAREMstringistringrsurvivalterratibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisviridisLitewithr