Landscape Utility Toolbox

Provides utility functions for some of the less-glamorous tasks involved in landscape analysis. It includes functions to coerce raster data to the common tibble format and vice versa, it helps with flexible reclassification tasks of raster data and it provides a function to merge multiple raster. Furthermore, 'landscapetools' helps landscape scientists to visualize their data by providing optional themes and utility functions to plot single landscapes, rasterstacks, -bricks and lists of raster.


News

landscapetools 0.5.0

  • new interface for util_classify
    • now takes argument n to specify number of classes
    • style
  • Removed Roboto font and util_import_roboto
  • Removed util_plot_grey
  • Renamed:
    • util_plot to show_landscape
  • new function util_writeESRI that produces a replica of esris ascii file format

landscapetools 0.4.0

  • minor bug fixes
  • util_facetplot now better handles lists of raster
  • improved theme_facetplot
  • util_classify can now reclassify based on real landscapes, the classification then overwrites the weightings with the proportions from this landscape
  • util_classify now has an mask argument, that allows for the classification only outside this mask

Reference manual

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install.packages("landscapetools")

0.5.0 by Marco Sciaini, 5 months ago


https://ropensci.github.io/landscapetools/


Report a bug at https://github.com/ropensci/landscapetools/issues


Browse source code at https://github.com/cran/landscapetools


Authors: Marco Sciaini [aut, cre] , Matthias Fritsch [aut] , Maximillian H.K. Hesselbarth [aut] , Jakub Nowosad [aut] , Laura Graham [rev] (Laura reviewed the package for rOpenSci , see https://github.com/ropensci/onboarding/issues/188) , Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci , see https://github.com/ropensci/onboarding/issues/188)


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, raster, tibble, Rcpp

Suggests testthat, covr, knitr, rmarkdown

Linking to Rcpp


Suggested by NLMR, grainchanger.


See at CRAN