Skip to contents

Download and process Global Accessibility Indicators

Source: R/accessibility.R
accessibility.Rd

This function downloads, processes, and extracts variables from the Global Accessibility Indicators dataset. Each variable corresponds to a global raster representing the travelling time (in minutes) to cities or ports of specific sizes.

Usage

accessibility(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):

Cities

  • 1 - "cities1" ("cities 1", "city 1", "cities >5m", "huge cities", "travel time cities 1")

  • 2 - "cities2" ("cities 2", "city 2", "cities >1m", "large cities", "travel time cities 2")

  • 3 - "cities3" ("cities 3", "city 3", "medium cities", "travel time cities 3")

  • 4 - "cities4" ("cities 4", "city 4", "small cities", "travel time cities 4")

  • 5 - "cities5" ("cities 5", "city 5", "travel time cities 5")

  • 6 - "cities6" ("cities 6", "city 6", "travel time cities 6")

  • 7 - "cities7" ("cities 7", "city 7", "travel time cities 7")

  • 8 - "cities8" ("cities 8", "city 8", "towns", "travel time cities 8")

  • 9 - "cities9" ("cities 9", "city 9", "small towns", "travel time cities 9")

  • 10 - "cities10" ("cities 10", "city 10", "aggregated cities 1", "travel time cities 10")

  • 11 - "cities11" ("cities 11", "city 11", "aggregated cities 2", "travel time cities 11")

  • 12 - "cities12" ("cities 12", "city 12", "aggregated cities 3", "travel time cities 12")

Ports

  • 13 - "ports1" ("ports 1", "port 1", "large ports", "travel time ports 1")

  • 14 - "ports2" ("ports 2", "port 2", "medium ports", "travel time ports 2")

  • 15 - "ports3" ("ports 3", "port 3", "small ports", "travel time ports 3")

  • 16 - "ports4" ("ports 4", "port 4", "very small ports", "travel time ports 4")

  • 17 - "ports5" ("ports 5", "port 5", "any port", "all ports", "travel time ports 5")

Citation:
Nelson A, Weiss DJ, van Etten J et al (2019). "A suite of global accessibility indicators." Scientific Data 6, 266. https://doi.org/10.1038/s41597-019-0265-5

Note: Data extent is [-180, 180, -60, 85].

Examples

# \donttest{
processed <- par_set(country = "Italy", crs = 3035) %>% 
accessibility(vars=c("large cities", "ports1"))
  # }