rasterwere replaced to a single dependency to
terraas these packages are being retired.
crest.simplify()transforms a crestObj into a simple data frame with only the main reconstructed values.
dbSubset()extracts a subset of the calibration dataset and makes data extraction much faster.
dbDownload()allows downloading the calibration dataset on your machine.
loo()can be run on a subset of the available variables to make the process faster.
getTaxonomy()can be used with a
crestObj()to refine the search to a specific study area.
climateSpaceWeighting.type. This parameter is useful to reduce the edge effects to the climate space calibration, as the range of weights could easily cover several ranges of amplitude. This can be toned down using ‘sqrt’ or ‘log’, instead of the default ‘linear’.
crest.get_modern_data()was crashing. Default value now set to 0.
plot(simplify=TRUE)did not allow to select a y-range larger than the range of the uncertaintieS.
+proj=longlat +datum=WGS84 +no_defsto potentially avoid bugs when plotting maps (problem ultimately related to latest version of gdal and proj)
taxonComposition()to get the size distribution of the composing species.
combinedPDFs()could bug if only one variable
plot_taxaCharacteristics()were issuing a warning when no climate values are available and add_modern is TRUE (coordinates are available but no climate)
climatefield didn’t match the column names of
selectedTaxa, some functions were crashing (at least
plot_climateSpace) because no distribution data were extracted.
selectedTaxahas default values for all selected variables.
Replaced class(dat) == ‘RasterLayer’ by inherits(dat, ‘RasterLayer’)
Minor bugs fixed on the plots
Replacing the parameter fullPosterior by fullUncertainties in export().
Typos in the documentation have been fixed.
The text of the vignettes was updated to reflect changes in the manuscript. Nothing really significant.
Fixing bug related to ai.sqrt in crest.get_modern_data(). Only the climate space data were transformed.
Excluding all the distribution grid cells without any climate data.