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Calculate railway intensity based on OpenStreetMap data

Source: R/DWF_railway_intensity.R
Railway_Intensity.Rd

This function downloads, processes, and analyses railway data extracted from OpenRailwayMap available from OpenStreetMap Data Extracts. It supports parallel processing for faster execution and can calculate the total length of railways and distance to the nearest railway for each grid cell in Europe.

Usage

railway_intensity(
  env_file = ".env",
  n_cores = 6L,
  strategy = "multisession",
  delete_processed = TRUE
)

Arguments

env_file

Character. Path to the environment file containing paths to data sources. Defaults to .env.

n_cores

Integer. Number of CPU cores to use for parallel processing. Default: 8.

strategy

Character. The parallel processing strategy to use. Valid options are "sequential", "multisession" (default), "multicore", and "cluster". See future::plan() and ecokit::set_parallel() for details.

delete_processed

Logical indicating whether to delete the raw downloaded railways files after processing them. This helps to free large unnecessary file space (> 55 GB). Defaults to TRUE.

Value

NULL. Outputs processed files to the directories specified in the environment file.

Author

Ahmed El-Gabbas