Índice de pacotes • elsar

Prepare Planning Region

Functions to prepare the planning region for the ELSA workflow

make_boundary(): Create a boundary of the planning region
make_planning_units(): Create a Planning Units Raster

Prepare Feature Data

Functions to prepare the global datasets for the ELSA workflow

get_all_features(): Wrapper function to get a raster file with all wanted features
make_degraded_areas(): Create degraded areas layer for restoration planning
make_flood_abatement_opportunities(): Create a Flood Abatement Opportunities Raster
make_forest_integrity(): Create the forest integrity index using flii and fsii data
make_indigenous_managed_lands(): Create Indigenous Managed Lands Raster (LANDMark + ICCA)
make_kbas(): Create a Standardised Raster of Key Biodiversity Areas (KBAs)
make_managed_forests(): Create Managed Forests and Productive Managed Forests Raster Layers
make_mangroves(): Function to make standardised mangroves data
make_normalised_raster(): Create a Normalised Raster Aligned with and masked by Planning Units
make_protected_areas(): Create a Binary or Fractional Raster of Protected Areas Aligned to Planning Units
make_threatened_ecosystems_protection(): Create a Threatened Ecosystems Raster Based on Integrity or Degradation
make_threatened_ecosystems_restoration(): Create Threatened Ecosystems (for Restoration) Raster Based on Intactness and Degradation
make_underrepresented_ecosystems(): Create a Representation Gap Raster for Ecosystems
make_urban_greening_opportunities(): Create Urban Greening Opportunities Raster
make_wetlands_ramsar(): Create a Standardised Raster for Wetlands and Ramsar Sites

Set up ELSA analysis

Functions to help formulate a conservation problem for an ELSA analysis

make_protect_zone(): Generate Protect Zone Raster for ELSA Analysis
make_restore_zone(): Generate Restore Zones for Spatial Planning
make_manage_zone(): Generate Sustainable Management Zones for ELSA Analysis
make_urban_greening_zone(): Generate Urban Greening Zone Raster for ELSA Analysis

ELSA-specific utilities functions

Functions to help ELSA analysis

calculate_restore_and_urban_budgets(): Calculate restore and urban green zone budgets as percentages
get_min_lockin_target(): Get Minimum Lock-in Targets for Zones
get_target(): Calculate Target Area from Percentage

Helper Functions

elsar_load_data(): Load spatial or raster data from local files or Postgres
check_and_download_required_layers(): Check and download GEE-sourced layers based on metadata requirements
download_dynamic_world_data(): Download Google Dynamic World Annual Composite
download_esa_worldcover_data(): Download ESA WorldCover Data
download_esri_lulc_data(): Download the ESRI 10m Land Use/Land Cover Time Series (LULC) Layer
download_global_pasture_data(): Download Global Pasture Watch Grassland Probability Layer
download_gee_layer(): Download and Process a GEE Raster Layer into a Cloud-Optimized GeoTIFF
download_lulc_class_proportion(): Download LULC Class Proportion Raster from GEE
download_lulc_data(): Download LULC Data from Multiple Sources
download_lulc_proportions(): Download LULC Class Proportions from GEE
filter_sf(): Load and optionally filter a single vector layer
get_file_type(): Infer file type from file path or directory
get_iucn_ecosystems() deprecated: Extract and Filter IUCN GET Ecosystem Vector Layers
get_iucn_forests() deprecated: Extract and Rasterise IUCN Forest Ecosystems from Preloaded Layer
get_lulc_class_value(): Get Specific LULC Class Value
get_lulc_classes(): Get LULC Class Mappings for a Product
list_lulc_products(): List Available LULC Products
load_local_lulc_data(): Load User-Provided Local LULC Data
log_message() log_msg(): Log a message with timestamp
make_custom_projection(): Create a custom projection based on the planning region

Utilities

convert_points_polygon(): Convert Points to Buffered Polygons Based on Area
crop_global_raster(): Crop a Global Raster to the Extent of Planning Units
extract_filename_filetype(): Extract Filename and Filetype from Directory
exact_rasterise(): Efficient Attribute-Weighted Rasterization Using Coverage Fraction
get_binary_layers(): Extract binary layers within a raster stack
get_coverage(): Calculate Areal Coverage of a Zone Relative to Planning Units
median_from_rast(): Compute median from a SpatRaster using its GDAL PAM side-car histogram
rescale_raster(): Rescale Raster to 0-1 Range
split_bbox_into_tiles(): Split a Bounding Box into a Regular Grid of Polygon Tiles
conditionally_subdivide_bbox(): Conditionally Subdivide Bounding Box into Grid Tiles Based on Geographic Extent
save_raster(): Save a Raster as a Cloud Optimized GeoTIFF (COG)

Plotting functions

Functions to plot input and output data of an ELSA workflow

elsar_plot_distribution(): Function to create basic histogram with categorical data
elsar_plot_feature(): Plot a single feature raster within planning unit outlines
elsar_plot_static_raster(): Function to create a static plot from raster data

Plotting utilities

Helper functions for plotting

elsar_continuous_to_categorical(): Function to create categories for plotting out of continuous data
elsar_extend(): Function to extend the spatial extend around a raster file for plotting
elsar_plot_background() elsar_plot_background_c() elsar_plot_background_d(): Function to create a plot with background data for another plot
elsar_plot_extra_data(): Function to add additional data to an existing plot
elsar_plot_optics(): Function to easily adapt the visual appearance of a plot

Datasets

boundary_dat: Boundary data for Southern Asia
current_pas_sf: Current Protected Areas
get_wad_data(): Get WAD (World Atlas of Desertification) subset data