grainchanger: Moving-Window and Direct Data Aggregation

Data aggregation via moving window or direct methods. Aggregate a fine-resolution raster to a grid. The moving window method smooths the surface using a specified function within a moving window of a specified size and shape prior to aggregation. The direct method simply aggregates to the grid using the specified function. The package differs from other packages offering moving window analysis in 2 key ways: 1. The moving window code has been optimised so that it runs more quickly than \code{raster::focal} or other packages that build on this; 2. It combines moving window and aggregation in a way which can be effectively parallelised.

Version: 0.2.0
Depends: R (≥ 3.3)
Imports: raster, sf, furrr, checkmate, methods, usethis
Suggests: dplyr (≥ 0.8-0), testthat, spelling, knitr, rmarkdown, covr, ggplot2, landscapetools, rgdal
Published: 2019-06-28
Author: Laura Graham ORCID iD [aut, cre], Felix Eigenbrod [ctb] (Input on initial conceptual development), Marco Sciaini [ctb] (Input on package development and structure)
Maintainer: Laura Graham <LauraJaneEGraham at gmail.com>
BugReports: https://github.com/ropensci/grainchanger/issues
License: GPL-3
URL: https://github.com/ropensci/grainchanger
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: grainchanger results

Downloads:

Reference manual: grainchanger.pdf
Vignettes: Using Grainchanger
User-defined functions
Package source: grainchanger_0.2.0.tar.gz
Windows binaries: r-devel: grainchanger_0.2.0.zip, r-release: grainchanger_0.2.0.zip, r-oldrel: grainchanger_0.2.0.zip
OS X binaries: r-release: grainchanger_0.2.0.tgz, r-oldrel: grainchanger_0.2.0.tgz
Old sources: grainchanger archive

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