Package index • xbioclim

All functions

BioclimData-class: S4 Class for Bioclimatic Input Data
BioclimData(): Create a BioclimData Object
BioclimModel-class: BioclimModel S4 Class
BioclimModel-methods bio01,BioclimModel-method bio04,BioclimModel-method bio05,BioclimModel-method bio06,BioclimModel-method bio10,BioclimModel-method bio11,BioclimModel-method bio12,BioclimModel-method bio13,BioclimModel-method bio14,BioclimModel-method bio15,BioclimModel-method bio16,BioclimModel-method bio17,BioclimModel-method bio02,BioclimModel,missing-method bio03,BioclimModel,missing-method bio07,BioclimModel,missing-method bio08,BioclimModel,missing-method bio09,BioclimModel,missing-method bio18,BioclimModel,missing-method bio19,BioclimModel,missing-method bioclim,BioclimModel,ANY,ANY,ANY-method: S4 Methods for BioclimModel Objects
BioclimModel(): Create a BioclimModel Object
ClimateBlock: C++ ClimateBlock class for batch bioclim computation
apply_mask_cpp(): Apply a binary mask raster to an input raster
bioclim-raster: Block-Based Raster Processing for Bioclimatic Variables
bio01() bio02() bio03() bio04() bio05() bio06() bio07() bio08() bio09() bio10() bio11() bio12() bio13() bio14() bio15() bio16() bio17() bio18() bio19() bioclim(): Compute Bioclimatic Variables from Monthly Climate Data
bioclim_block(): Create a C++ ClimateBlock and compute bioclimatic variables
bioclim_engine(): Compute Bioclimatic Variables via the Native GDAL-Tiled Engine
bioclim_errors(): Retrieve stored error messages
bioclim_raster(): Compute Bioclimatic Variables from Monthly Climate Rasters
bioclim_rolling(): Rolling optimal-window bioclimatic variables
bioclim_warnings(): Retrieve stored warning messages
bioclim_window(): Bioclimatic variables over an arbitrary window of months
clear_messages(): Clear all stored messages
create_mask(): Create a binary mask raster from a polygon source
cuda_device_count(): Count available CUDA GPU devices
cuda_device_info(): Query properties of the first CUDA GPU device
cuda_info(): Query CUDA GPU device information
engine_compute(): Run the bioclimatic-variable computation pipeline
engine_create(): Create a new BioclimEngine instance
engine_open(): Configure monthly climate input files
engine_set_device(): Set the compute device for a BioclimEngine instance
engine_set_mask(): Set an optional mask raster
engine_set_output(): Set the output raster path
engine_set_threads(): Set the number of OpenMP threads
engine_set_variables(): Select which bioclimatic variables to write
era5_bioclim(): Compute Bioclimatic Variables from ERA5-Land Data
era5_bioclim_years(): Generate Bioclimatic Variables for Multiple Years
gdal_can_open(): Check whether GDAL can open a raster file
gdal_info(): Return metadata about a GDAL-readable raster
has_cuda(): Check CUDA GPU availability
has_error(): Check whether any errors are stored
has_gdal(): Check whether the package was built with GDAL support
has_warning(): Check whether any warnings are stored
quarterly_fixed(): Fixed-quarter seasonal variables
quarterly_rolling(): Rolling-quarter seasonal variables
quarterly_variables(): Quarterly / seasonal climate variables
rasterize_mask_cpp(): Rasterize a vector polygon layer to a binary mask raster
xbioclim-messages: Error and Warning Message Store
xbioclim xbioclim-package: xbioclim: Bioclimatic Variables from Monthly Climate Data