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Extract topsoil thickness from ABARES's 'Soil Thickness for Australian Areas of Intensive Agriculture of Layer 1' data

Source: R/extract_topsoil_thickness.R
extract_topsoil_thickness.Rd

Extracts the soil thickness for Australian areas of intensive Agriculture of Layer 1 (A Horizon - top-soil) (derived from soil mapping) at the GPS points provided, assuming that they are land-based coordinates in Australia from the Soil Thickness for Australian Areas of Intensive Agriculture of Layer 1 data set on a 0.01 X 0.01 arc-degree quadrat.

Usage

extract_topsoil_thickness(xy, locations = NULL, lonlat = NULL)

Source

https://anrdl-integration-web-catalog-saxfirxkxt.s3-ap-southeast-2.amazonaws.com/warehouse/staiar9cl__059/staiar9cl__05911a01eg_geo___.zip

Arguments

xy

A list or data.frame object with names containing pairings of longitude and latitude values expressed as decimal degree values in that order. A data.frame may also be an sf points object. See Details for more.

locations

The column in which the location names are located as an Integer value. Defaults to 1.

lonlat

A vector of integer values indicating the column index in which the longitude and latitude values are contained. Defaults to 2:3.

Value

A data.table::data.table with the provided GPS coordinates and the respective soil thickness data (mm) as an Integer value of the soil layer 1 from Soil Thickness for Australian Areas of Intensive Agriculture of Layer 1 and coordinates from the Soil Thickness ("thpk_1_longitude" and "thpk_1_latitude").

xy

xy as a List Object

If xy is a list object, each individual vector's items should be named “x” (longitude) and “y” (latitude), respectively. The list item names should be descriptive of the individual vectors and will be included in a “location” column of the output.

xy as a Data Frame Object

If xy is a data.frame, it should be a three column object with the first column being the location name, the second longitude and the third, latitude both as decimal degrees in numeric format.

xy as an sf Object

If xy is an sf object, it should only be point geometry. If the data are projected, they will be reprojected to "EPSG:4326", Geographic Coordinate System WGS 84 before the extraction.

References

https://data.agriculture.gov.au/geonetwork/srv/eng/catalog.search#/metadata/faa9f157-8e17-4b23-b6a7-37eb7920ead6

Examples

locs <- list(
  "Merredin" = c(x = 118.28, y = -31.48),
  "Corrigin" = c(x = 117.87, y = -32.33),
  "Tamworth" = c(x = 150.84, y = -31.07)
)

extract_topsoil_thickness(xy = locs)
#>    location      x      y thpk_1 thpk_x thpk_y
#>      <char>  <num>  <num>  <int>  <num>  <num>
#> 1: Corrigin 117.87 -32.33    202 117.87 -32.33
#> 2: Merredin 118.28 -31.48    150 118.28 -31.48
#> 3: Tamworth 150.84 -31.07    150 150.84 -31.07