There are two ways to access and use the gbif4crest calibration dataset, which are illustrated here with a simple PSE file.
PSE#> Level Family Genus Species ProxyName
#> 1 1 Ericaceae <NA> <NA> Ericaceae
#> 2 2 Asteraceae Artemisia <NA> Artemisia
#> 3 2 Oleaceae Olea <NA> Olea
The first option consists in using the default option: connecting to
the online gbif4crest. This is the simplest option and users
only have to provide the name of the database to the field
dbname = "gbif4crest_02"
.
<- crest.get_modern_data( pse = PSE,
reconstr taxaType = 1,
climate = c("bio1", "bio12"),
# The name of the online database to extract the data from
dbname = "gbif4crest_02",
verbose = FALSE
)
tapply(reconstr$modelling$taxonID2proxy[,1], reconstr$modelling$taxonID2proxy[,2], length)
#> Artemisia Ericaceae Olea
#> 347 4300 35
This option is usually much faster but it requires downloading the full database in a zipped format from [here]. Once unzipped, the file, which is about ~23Gb, should be saved in a location of interest.
<- crest.get_modern_data( pse = PSE,
reconstr taxaType = 1,
climate = c("bio1", "bio12"),
# The full path to the local gbif4crest database
dbname = "gbif4crest_02",
verbose = FALSE
)
tapply(reconstr$modelling$taxonID2proxy[,1], reconstr$modelling$taxonID2proxy[,2], length)
#> Artemisia Ericaceae Olea
#> 347 4300 35
The file can be saved anywhere and named in any way. However. the inclusion of the file extension ‘.sqlite3’ is key for the package to be guided to the right option.