Package: rasterKernelEstimates 1.0.1

rasterKernelEstimates: Kernel Based Estimates on in-Memory Raster Images

Performs kernel based estimates on in-memory raster images from the raster package. These kernel estimates include local means variances, modes, and quantiles. All results are in the form of raster images, preserving original resolution and projection attributes.

Authors:Jonathan Lisic [aut, cre]

rasterKernelEstimates_1.0.1.tar.gz
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rasterKernelEstimates.pdf |rasterKernelEstimates.html✨
rasterKernelEstimates/json (API)

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

Peer review:

Bug tracker:https://github.com/jlisic/rasterkernelestimates/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

4 exports 3 stars 0.92 score 5 dependencies 15 scripts 134 downloads

Last updated 8 years agofrom:e51e83162c. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64OKSep 08 2024
R-4.5-linux-x86_64OKSep 08 2024
R-4.4-win-x86_64OKSep 08 2024
R-4.4-mac-x86_64OKSep 08 2024
R-4.4-mac-aarch64OKSep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:rasterLocalCategoricalModesrasterLocalMomentsrasterLocalQuantilesrasterLocalSums

Dependencies:latticerasterRcppspterra