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Assemble LANDIS-II Climate Library wide-format table from a climr Arrow dataset

assemble_climate_library_file_monthly_climr.Rd

Reads the partitioned Arrow CSV dataset written by get_clim_monthly_climr(), joins per-cell rows to ecoregion ids via eco_lookup, summarises by (Year, Month, EcoID, Variable) with mean(..., na.rm = TRUE), applies unit conversions to match LANDIS-II conventions, and pivots to wide format keyed by ecoregion id.

Usage

assemble_climate_library_file_monthly_climr(dataset_path, vars, eco_lookup)

Arguments

dataset_path

character. Path to a scenario-tagged Climr_Monthly Arrow dataset directory (containing Variable=.../Year=.../... partitions). Typically <cache_root>/Climr_Monthly/<sa_hash>/<scenario_tag>.

vars

character vector of lowercase variable names (e.g. c("prcp", "tmax", "tmin")); same set accepted by prep_monthly_weather_climr().

eco_lookup

data.frame with columns id (cell id, matching the id column in the cached partitions) and EcoID (ecoregion id from the study-area id field). Typically built by .climr_build_xyz() (internal).

Value

tbl_df with columns Year, Month, Variable, and one column per ecoregion id.

Details

For projection-mode partitions (which carry extra GCM and SSP columns), the same group-and-mean step collapses across GCMs/SSPs/cells, yielding a single multi-GCM ensemble-mean value per (Year, Month, EcoID, Variable) as expected by the LANDIS-II Climate Library.

Unit conversions applied:

  • PPT (mm) \(\to\) cm (\(\div 10\))

See also

get_clim_monthly_climr(), prep_monthly_weather_climr(), writeClimateData()