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Overview

The elsar package provides functions to process various global datasets for use in ELSA (Essential Life Support Areas) conservation planning. This reference table summarises the available datasets, their corresponding R functions, and processing notes.

Dataset Reference

Dataset Dataset Name R Function Specifics Comments Tested Since
Crop Suitability Difference overall_cropsuit_i_diff_19812010_20712100 make_normalised_raster() inverse = TRUE OG code: all vals > 0 = 0; vals = -vals Y 0.0.1
Degraded Areas NA make_degraded_areas() default NA Y 0.0.7
Drought Risk gDH19_oct2015 make_normalised_raster() default none Y 0.0.1
Existing Protected Areas Pulled from wdpar package make_protected_areas() default buffer_points = TRUE needed when POINT geometry exists Y 0.0.1
Flood Abatement Opportunities NA make_flood_abatement_opportunities() default NA Y 0.0.5
Flood Risk flood_risk_opportunities_global make_normalised_raster() default none Y 0.0.1
Forest Integrity Index flii_earth-001_cog, global_fsii_2023 make_forest_integrity() NA OG code: all vals < 0 = 0 Y 0.0.1
Indigenous Managed Lands NA make_indigenous_managed_lands() default NA Y 0.0.5
Intact Wilderness Area NA make_normalised_raster() default none N 0.0.1
Irrecoverable Carbon NA make_normalised_raster() default OG code: all vals < 0 = 0 N 0.0.1
Key Biodiversity Areas NA make_kbas() NA NA Y 0.0.1
Live Biomass Carbon NA make_normalised_raster() default OG code: all vals < 0 = 0 N 0.0.1
Managed Forests FML_v3.2_near_cog make_managed_forests() default Categories: 11=undisturbed (NOT managed), 20=disturbed (managed), 31/32/40/53=managed (palm oil, etc.) Y 0.0.1
Mangroves gmw_v3_2020_vec make_mangroves() default NA Y 0.0.1
Threatened Ecosystems (Protection) NA make_threatened_ecosystems_protection() NA Split from original make_threatened_ecosystems() Y 0.0.7
Threatened Ecosystems (Restoration) NA make_threatened_ecosystems_restoration() NA Split from original make_threatened_ecosystems() Y 0.0.7
Threatened Species Richness NA make_normalised_raster() default none N 0.0.1
Underrepresented Ecosystems NA make_underrepresented_ecosystems() NA NA Y 0.0.1
Urban Greening Opportunities NA make_urban_greening_opportunities() NA NA Y 0.0.3
Velocity of Climate Change NA make_normalised_raster() default none N 0.0.1
Vulnerable Soil Organic Carbon Difference soc-at-risk-V11 make_normalised_raster() default none Y 0.0.1
WAD Convergence Evidence wad_final_cog make_normalised_raster() default none Y 0.0.1
Wetlands (Ramsar) NA make_wetlands_ramsar() default NA Y 0.0.3

Notes

  • Tested: Indicates whether the function has been tested with real data (Y = Yes, N = No).
  • Since: The elsar version in which the function was first available.
  • Most datasets use make_normalised_raster() for standard processing with optional parameters (e.g., inverse = TRUE).
  • Some datasets require specialised functions (e.g., make_kbas(), make_mangroves(), make_forest_integrity()).
  • Datasets with “NA” as the dataset name do not have a fixed global source file and may vary by country or analysis.

Removed Datasets

The following datasets were previously listed but have been removed or are no longer supported:

  • Certified Forests — deprecated, no replacement.
  • Landcover Layers — replaced by LULC download functions (download_lulc_data(), download_lulc_proportions()).
  • Mountains/Glaciers — not currently implemented.
  • Productive Managed Forests — not currently implemented.
  • Urban Extreme Heat — not currently implemented.
  • Yield Gap — not currently implemented.
  • Landmark Areas — not currently implemented.