Package: densityarea 0.1.1.9000

densityarea: Polygons of Bivariate Density Distributions

With bivariate data, it is possible to calculate 2-dimensional kernel density estimates that return polygons at given levels of probability. 'densityarea' returns these polygons for analysis, including for calculating their area.

Authors:Josef Fruehwald [aut, cre, cph]

densityarea_0.1.1.9000.tar.gz
densityarea_0.1.1.9000.zip(r-4.7)densityarea_0.1.1.9000.zip(r-4.6)densityarea_0.1.1.9000.zip(r-4.5)
densityarea_0.1.1.9000.tgz(r-4.6-any)densityarea_0.1.1.9000.tgz(r-4.5-any)
densityarea_0.1.1.9000.tar.gz(r-4.7-any)densityarea_0.1.1.9000.tar.gz(r-4.6-any)
densityarea_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
densityarea/json (API)

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

Bug tracker:https://github.com/jofrhwld/densityarea/issues

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

Datasets:
  • s01 - Vowel Space Data

On CRAN:

Conda:

4.51 score 2 stars 16 scripts 301 downloads 2 exports 41 dependencies

Last updated from:44a147b0f9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK209
source / vignettesOK220
linux-release-x86_64OK163
macos-release-arm64OK136
macos-oldrel-arm64OK159
windows-develOK102
windows-releaseOK100
windows-oldrelOK95
wasm-releaseOK160

Exports:density_areadensity_polygons

Dependencies:classclassIntclicpp11DBIdplyre1071farvergenericsgeometriesggdensityggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfsfheaderstibbletidyselectunitsutf8vctrsviridisLitewithrwk

Using {densityarea}
Initial look at the data | Getting density areas | Density Polygons | Polygon Data Frames | A single probability level | Multiple probability levels | Polygon Simple Features

Last update: 2023-10-02
Started: 2023-09-28

Using {sf} operations
Density polygons as simple features | Initial {sf} operations | Getting overlaps | Spatial filters | Spatial filter | Spatial join

Last update: 2023-10-02
Started: 2023-09-28