List the future climate layers provided by one or more datasets
Source:R/list.R
list_layers_future.Rd
list_layers_future
returns information on the future climate layers of
one or more datasets.
Usage
list_layers_future(datasets = c(), scenario = NA, year = NA,
terrestrial = NA, marine = NA, freshwater = NA, monthly = TRUE, version =
NULL)
Arguments
- datasets
character vector. Code of the datasets.
- scenario
character vector. Climate change scenario, e.g.
"B1", "A1B", "A2"
.- year
integer. Year for which you want the climate change prediction, e.g.
2100, 2200
.- terrestrial
logical. When
TRUE
(default), then datasets that only have terrestrial data (seamasked) are returned.- marine
logical. When
TRUE
(default), then datasets that only have marine data (landmasked) are returned.- freshwater
logical. When
TRUE
, then datasets that only have freshwater data are returned.- monthly
logical. When
FALSE
, then no monthly layers are returned. All annual and monthly layers are returned by default.- version
numeric vector. When
NULL
then layers from all versions of datasets are returned (default) else layers are filtered by version number.
Details
By default it returns all layers from all datasets, when both marine
and terrestrial are FALSE
then only layers without land- nor
seamasks are returned.
Examples
# list the first 5 layers
list_layers_future()[1:5,]
#> dataset_code layer_code current_layer_code model scenario year version
#> 1 WorldClim WC_bio1_cc26_2050 WC_bio1 CCSM4 rcp26 2050 1
#> 2 WorldClim WC_bio1_cc26_2070 WC_bio1 CCSM4 rcp26 2070 1
#> 3 WorldClim WC_bio1_cc45_2050 WC_bio1 CCSM4 rcp45 2050 1
#> 4 WorldClim WC_bio1_cc45_2070 WC_bio1 CCSM4 rcp45 2070 1
#> 5 WorldClim WC_bio1_cc60_2050 WC_bio1 CCSM4 rcp60 2050 1
#> layer_url
#> 1 https://www.lifewatch.be/sdmpredictors/WC_bio1_cc26_2050_lonlat.tif
#> 2 https://www.lifewatch.be/sdmpredictors/WC_bio1_cc26_2070_lonlat.tif
#> 3 https://www.lifewatch.be/sdmpredictors/WC_bio1_cc45_2050_lonlat.tif
#> 4 https://www.lifewatch.be/sdmpredictors/WC_bio1_cc45_2070_lonlat.tif
#> 5 https://www.lifewatch.be/sdmpredictors/WC_bio1_cc60_2050_lonlat.tif
# list layer codes for Bio-ORACLE with scenario B1 and year 2100
list_layers_future("Bio-ORACLE", scenario = "B1", year = 2100)$layer_code
#> [1] "BO_B1_2100_salinity" "BO_B1_2100_sstmax" "BO_B1_2100_sstmean"
#> [4] "BO_B1_2100_sstmin" "BO_B1_2100_sstrange"