You can install bdc from github with:
# Install remotes if not available
if(!"remotes" %in% installed.packages()[,"Package"]) install.packages("remotes")
# Install bdc package from Github
remotes::install_github("RS-eco/bdc", build_vignettes = T)
After installation, simply load the bdc
package:
library(bdc)
The individual datasets can then be loaded, by:
# Elevation & Terrain (SRTM)
data("alt_bav_tk25")
# Outline of Bavaria (GADM)
data("bavaria")
# BioTime data for Germany
data("biotime_deu")
# BirdLife, IUCN and GARD range data
data("amphibians_bav")
data("bird_bav")
data("gard_reptiles_bav")
data("mammals_bav")
data("odonata_bav")
data("reptiles_bav")
# Bird range data from the LFU
data("bird_bva_shape")
# Carbon stock data
data("carbon_bav")
# CCI land cover data
data("cci_bav_tk25")
# Chelsa climate data
data("chelsa_bav_tk25")
# Euro-cordex climate simulations
data("cordex_bioclimAdjust_30yr_bav")
data("cordex_prAdjust_bav")
data("cordex_tasAdjust_bav")
data("cordex_tasminAdjust_bav")
data("cordex_tasmaxAdjust_bav")
# In addition, the cordex_bioclim_eur.csv.xz data is available from:
# https://syncandshare.lrz.de/dl/fiUoJTtNcAahKkK2Q3wLEDKK
# And the cordex_bioclim_bav_tk25.csv.xz file is available from:
# https://syncandshare.lrz.de/dl/fiUnkSHdGhRTyjsgPonU4sYE
# Corine land-cover and land cover change
data("corine_cha_bav_tk25") # Land-cover change
data("corine_lc_bav_tk25") # Land cover
# Diva shapefiles for Germany
data("diva_cover_deu") # Land-cover data
data("diva_pop_deu") # Population data
data("diva_rails_deu") # Railway tracks
data("diva_roads_deu") # Roads
data("diva_water_areas_deu") # Lakes
data("diva_water_lines_deu") # Rivers
# EuroLST Land surface temperature
data("eurolst_bav_tk25")
# EWEMBI daily temperature and precipitation
data("ewembi_bav")
# GIMMS3g NDVI data
data("gimms3g_v0_bav")
data("gimms3g_v1_bav")
# Globcover land cover
data("globcover_bav_tk25")
# Human footprint
data("hfp_1993_v3_bav")
data("hfp_2009_v3_bav")
# Important bird areas
data("iba_bav")
# ISIMIP2b climate and land-use
data("isimip_bio_bav_tk25")
data("isimip_lu_bav_tk25")
# KK09, KK10 data
data("kk09_bav")
data("kk10_bav")
# Lakes & Rivers
data("lakes_points_bav")
data("lakes_poly_bav")
data("rivers_bav")
# Merraclim climate
data("merraclim_10m_bav_tk25")
data("merraclim_2.5m_bav_tk25")
data("merraclim_5m_tk25")
# MODIS land-cover
data("modis_lc_bav_tk25")
# MODIS Land surface temperature
data("modis_lst_bav_tk25")
# Protected areas
data("pa_bav")
data("pa_bav_tk25")
# Plot coordinates
data("plot_coords_bav")
# Predicts data
data("predicts_deu")
# Tandem-X Forest/Non-forest
data("tdm_fnf_bav")
# TK25 grid
data("tk25_grid")
# Worldclim v1.4
data("wc1.4_10m_bav_tk25")
data("wc1.4_2.5m_bav_tk25")
data("wc1.4_30s_bav_tk25")
data("wc1.4_5m_bav_tk25")
# Worldclim v2.0
data("wc2.0_10m_bav_tk25")
data("wc2.0_2.5m_bav_tk25")
data("wc2.0_30s_bav_tk25")
data("wc2.0_5m_bav_tk25")
Note: The code of how the datasets were created can be found in the data-raw folder.