Package: sdmpredictors 0.2.16

Samuel Bosch

sdmpredictors: Species Distribution Modelling Predictor Datasets

Terrestrial and marine predictors for species distribution modelling from multiple sources, including WorldClim <https://www.worldclim.org/>,, ENVIREM <https://envirem.github.io/>, Bio-ORACLE <https://bio-oracle.org/> and MARSPEC <http://www.marspec.org/>.

Authors:Samuel Bosch [aut, cre], Lennert Tyberghein [ctb], Olivier De Clerck [ctb], Salvador Fernandez [aut], Lennert Schepers [ctb], LifeWatch Belgium [fnd]

sdmpredictors_0.2.16.tar.gz
sdmpredictors_0.2.16.zip(r-4.7)sdmpredictors_0.2.16.zip(r-4.6)sdmpredictors_0.2.16.zip(r-4.5)
sdmpredictors_0.2.16.tgz(r-4.6-any)sdmpredictors_0.2.16.tgz(r-4.5-any)
sdmpredictors_0.2.16.tar.gz(r-4.7-any)sdmpredictors_0.2.16.tar.gz(r-4.6-any)
sdmpredictors_0.2.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sdmpredictors/json (API)

# Install 'sdmpredictors' in R:

install.packages('sdmpredictors', repos = c('https://lifewatch.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lifewatch/sdmpredictors/issues

Pkgdown/docs site:https://lifewatch.github.io

On CRAN:

bio-oracle lifewatch lifewatchvliz species-distribution-modelling

8.10 score 29 stars 1 packages 320 scripts 769 downloads 3 mentions 19 exports 8 dependencies

Last updated from:300126ce1f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	254
source / vignettes	OK	296
linux-release-x86_64	OK	286
macos-release-arm64	OK	208
macos-oldrel-arm64	OK	216
windows-devel	OK	206
windows-release	OK	186
windows-oldrel	OK	209
wasm-release	OK	160

Exports:calculate_statistics correlation_groups dataset_citations equalareaproj get_future_layers get_layers_info get_paleo_layers layer_citations layer_stats layers_correlation list_datasets list_layers list_layers_future list_layers_paleo load_layers lonlatproj pearson_correlation_matrix plot_correlation sdm_to_bo

Dependencies:lattice R.methodsS3 R.oo R.utils raster Rcpp sp terra

sdmpredictors quickstart guide

Rendered fromquickstart.Rmdusingknitr::rmarkdown

Last update: 2021-07-15
Started: 2016-09-21

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate statistics for a given raster.	calculate_statistics
Groups layers based on the Pearson correlation	correlation_groups
Generate dataset citations	dataset_citations
World Behrmann equal area coordinate reference system (ESRI:54017), used when using load_layers with equal_area = TRUE	equalareaproj
Get the name of future climate layer(s) based on the current climate layer(s)	get_future_layers
Layer info for specific layer codes	get_layers_info
Get the name of paleo climate layer(s) based on the current climate layer(s)	get_paleo_layers
Generate citations for all layers	layer_citations
Gives basic layer statistics	layer_stats
Gives the Pearson correlation between layers	layers_correlation
Lists the supported datasets	list_datasets
List the current climate layers provided by one or more datasets	list_layers
List the future climate layers provided by one or more datasets	list_layers_future
List the paleo climate layers provided by one or more datasets	list_layers_paleo
Load layers	load_layers
Longitude/latitude coordinate reference system (EPSG:4326), used when using load_layers with equal_area = FALSE	lonlatproj
Calculate the Pearson correlation coefficient matrix for a rasterstack	pearson_correlation_matrix
Plot the correlation matrix for the provided layercodes	plot_correlation
Translate file name from sdmpredictors to bio-oracle	sdm_to_bo
sdmpredictors: Species Distribution Modeling Predictor Datasets	sdmpredictors