Calculate human footprint statistics

Human footprint data measures the pressure imposed on the natural environment by different dimensions of human actions. The theoretical maximum value, representing the highest level of human pressure, is 50. This routine allows to extract zonal statistics of the human footprint data.

This resource is part of the publication by Mu et al. (2022) "A global record of annual terrestrial Human Footprint dataset from 2000 to 2018". It is calculated based on 8 variables representing human pressures on natural ecosystems collected at a yearly cadence between 2000 and 2020 sampled at a 1km spatial resolution. The variables are used are the expansion of built environments (expressed as percentage of built-up areas within a grid cell), population density (aggregated at the gridd cell), nighttime lights, crop and pasture lands, roads and railways (excluding trails and minor roads), and navigable waterways (compares waterways with nighttime lights dataset). The human footprint was then calculated based on a weighting scheme proposed by Venter et al. (2016), assigning each pixel a value between 0 and 50, with 50 representing the theoretical value of the highest human pressure.

Usage

calc_humanfootprint(engine = "extract", stats = "mean")

get_humanfootprint(years = 2000:2020)

Source

https://figshare.com/articles/figure/An_annual_global_terrestrial_Human_Footprint_dataset_from_2000_to_2018/16571064

Arguments

engine

The preferred processing functions from either one of "zonal", "extract" or "exactextract" as character.

stats

Function to be applied to compute statistics for polygons either one or multiple inputs as character. Supported statistics are: "mean", "median", "sd", "min", "max", "sum" "var".

years

A numeric vector indicating the years for which to download the human footprint data, defaults to 2000:2020.

Value

A function that returns a tibble with a column for each statistic and a row for every requested year.

A function that returns a character vector of file paths.

Details

The required resources for this indicator are:

• humanfootprint

It may be required to increase the timeout option to successfully download theses layers from their source location via e.g. options(timeout = 600).

References

Mu, H., Li, X., Wen, Y. et al. A global record of annual terrestrial Human Footprint dataset from 2000 to 2018. Sci Data 9, 176 (2022). doi:10.1038/s41597-022-01284-8