Package: luscale 3.0.1

Jan Philipp Dietrich

luscale: PIK Landuse Group Data Scaling Tools

A collection of tools which allow to aggregate and disaggregate data in various ways.

Authors:Jan Philipp Dietrich [aut, cre], Benjamin Leon Bodirsky [aut], Markus Bonsch [aut], Patrick, von Jeetze [aut], Ulrich Kreidenweiss [aut], Roman Julius Hennig [aut], Florian Humpenoeder [aut]

luscale_3.0.1.tar.gz
luscale_3.0.1.zip(r-4.5)luscale_3.0.1.zip(r-4.4)luscale_3.0.1.zip(r-4.3)
luscale_3.0.1.tgz(r-4.4-any)luscale_3.0.1.tgz(r-4.3-any)
luscale_3.0.1.tar.gz(r-4.5-noble)luscale_3.0.1.tar.gz(r-4.4-noble)
luscale_3.0.1.tgz(r-4.4-emscripten)luscale_3.0.1.tgz(r-4.3-emscripten)
luscale.pdf |luscale.html
luscale/json (API)

# Install 'luscale' in R:
install.packages('luscale', repos = c('https://pik-piam.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pik-piam/luscale/issues

Datasets:

On CRAN:

8 exports 2 stars 3.72 score 32 dependencies 22 dependents 59 scripts

Last updated 2 months agofrom:eb37e6fafc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 15 2024
R-4.5-winOKAug 15 2024
R-4.5-linuxOKAug 15 2024
R-4.4-winOKAug 15 2024
R-4.4-macOKAug 15 2024
R-4.3-winOKAug 15 2024
R-4.3-macOKAug 15 2024

Exports:AutomaticMappinggetAggregationMatrixgroupAggregateinterpolate2interpolateAvlCroplandWeightedrename_dimnamesspeed_aggregatesuperAggregate

Dependencies:abindcallrclicpp11data.tabledescdigestdotCall64fsglueigraphlatticelifecyclemadratmagclassmagrittrMatrixpkgbuildpkgconfigpkgloadprocessxpsR6Rcpprenvrlangrprojrootspamstringivctrswithryaml

Readme and manuals

Help Manual

Help pageTopics
luscale: PIK Landuse Group Data Scaling Toolsluscale-package luscale
AutomaticMappingAutomaticMapping
getAggregationMatrixgetAggregationMatrix
groupAggregategroupAggregate
Interpolate 2interpolate2
interpolateAvlCroplandWeightedinterpolateAvlCroplandWeighted
luqueriesluqueries
rename_dimnamesrename_dimnames
Speed Aggregatespeed_aggregate
superAggregatesuperAggregate superAggregate,lpj-method