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Download and process SPECTRE environmental threat layers

Source: R/spectre.R
spectre.Rd

This function downloads, processes, and extracts variables from the SPECTRE — Spatially Explicit ECosysTem ThREats dataset. Each variable corresponds to a global Cloud-Optimized GeoTIFF (COG) representing a different anthropogenic or climatic threat.

Usage

spectre(x, vars, ...)

Arguments

x

The output from `par_set()` defining the area or locations for extraction, the reference system, and the buffer. Leave this empty and use `par_set()` to define parameters for download.

vars

Character vector of one or more variables to download and process.

...

Additional arguments (currently unused).

Value

If `par_set()` contained a raster/polygon/points with buffer: a `SpatRaster` stack of processed variables. If `par_set()` contained spatial points or data.frame of points without buffer: a `data.frame` of x, y, and extracted values.

Details

Available variables (working synonyms in parentheses):

Land Use and Human Pressure

  • 1 - "1_1_MINING_AREA_cog" ("mining area", "mining_area", "mining")

  • 2 - "1_2_HAZARD_POTENTIAL_cog" ("hazard potential", "hazard")

  • 3 - "1_3_HUMAN_DENSITY_cog" ("human density", "population", "pop")

  • 4 - "1_4_BUILT_AREA_cog" ("built area", "built")

  • 5 - "1_5_ROAD_DENSITY_cog" ("road density", "roads", "road")

  • 6 - "1_6_FOOTPRINT_PERC_cog" ("human footprint", "footprint")

  • 7 - "1_7_IMPACT_AREA_cog" ("impacted area", "impact area")

  • 8 - "1_8_MODIF_AREA_cog" ("modified area", "modif area")

  • 9 - "1_9_HUMAN_BIOMES_cog" ("human biomes", "biomes")

  • 10 - "1_10_FIRE_OCCUR_cog" ("fires", "fire")

  • 11 - "1_11_CROP_PERC_UNI_cog" ("crops uni", "crop uni", "crop")

  • 12 - "1_12_CROP_PERC_IIASA_cog" ("crops iiasa", "iiasa crops")

  • 13 - "1_13_LIVESTOCK_MASS_cog" ("livestock", "livestock mass")

Forest Loss

  • 14 - "2_1_FOREST_LOSS_PERC_cog" ("forest loss")

  • 15 - "2_2_FOREST_TREND_cog" ("forest trend")

Light Pollution

  • 16 - "3_1_LIGHT_MCDM2_cog" ("light at night", "night light", "light")

Climate Change

  • 17 - "5_1_TEMP_TRENDS_cog" ("temperature trends", "temp trends")

  • 18 - "5_2_TEMP_SIGNIF_cog" ("temperature significance", "temp signif")

  • 19 - "5_3_CLIM_EXTREME_cog" ("climate extremes")

  • 20 - "5_4_CLIM_VELOCITY_cog" ("climate velocity", "velocity")

  • 21 - "5_5_ARIDITY_TREND_cog" ("aridity trend", "aridity")

Citation:
Branco VV, Capinha C, Rocha J, Correia L, Cardoso P (2024). "SPECTRE: standardized global spatial data on terrestrial SPecies and ECosystems ThREats." Global Ecology and Biogeography, 34, e13949. doi:10.1111/geb.13949

Note: Many SPECTRE variables are derived from external primary datasets. Users should consult and cite the original sources listed in the SPECTRE supplementary materials.

Examples

# \donttest{
processed <- par_set(country= "Italy", crs=3035) %>% 
  spectre(vars=c("forest loss", "light at night"))
  # }