Package: sdc.redistribute 0.1.0

Aaron Schroeder

sdc.redistribute: Redistribute Values Between Geographic Areas

Estimate attribute values for one set of polygons from values measured on a different, misaligned set. Provides area-weighted areal interpolation and a dasymetric method that distributes values across a point layer (such as parcel centroids). Count (extensive) measures are total-preserving; rate (intensive) measures use area-weighted means.

Authors:Aaron Schroeder [aut, cre]

sdc.redistribute_0.1.0.tar.gz
sdc.redistribute_0.1.0.zip(r-4.7)sdc.redistribute_0.1.0.zip(r-4.6)sdc.redistribute_0.1.0.zip(r-4.5)
sdc.redistribute_0.1.0.tgz(r-4.6-any)sdc.redistribute_0.1.0.tgz(r-4.5-any)
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sdc.redistribute_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sdc.redistribute/json (API)
NEWS

# Install 'sdc.redistribute' in R:
install.packages('sdc.redistribute', repos = c('https://dads2busy.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dads2busy/sdc.redistribute/issues

Pkgdown/docs site:https://dads2busy.github.io

Datasets:

On CRAN:

Conda:

4.11 score 13 scripts 2 exports 12 dependencies

Last updated from:a421e221bb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK170
linux-release-x86_64OK147
macos-release-arm64OK190
macos-oldrel-arm64OK185
windows-develOK82
windows-releaseOK80
windows-oldrelOK80
wasm-releaseOK115

Exports:redistribute_directredistribute_parcels

Dependencies:classclassIntDBIe1071KernSmoothMASSproxyRcpps2sfunitswk

Comparing redistribution methods

Rendered frommethod-comparison.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2026-06-10
Started: 2026-06-10

Introduction to sdc.redistribute

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2026-06-10
Started: 2026-06-10