calculate_area_intersection_weights: Area Weighted Intersection (areal implementation)

In ncdfgeom: 'NetCDF' Geometry and Time Series

Area Weighted Intersection (areal implementation)

Description

Returns the fractional percent of each feature in x that is covered by each intersecting feature in y. These can be used as the weights in an area-weighted mean overlay analysis where x is the data source and area- weighted means are being generated for the target, y.

This function is a lightwieght wrapper around the functions aw_intersect aw_total and aw_weight from the areal package.

Usage

calculate_area_intersection_weights(x, y, allow_lonlat = FALSE)

Arguments

x	sf data.frame source features including one geometry column and one identifier column
y	sf data.frame target features including one geometry column and one identifier column
allow_lonlat	boolean If FALSE (the default) lon/lat target features are not allowed. Intersections in lon/lat are generally not valid and problematic at the international date line.

Value

data.frame containing fraction of each feature in x that is covered by each feature in y. e.g. If a feature from x is entirely within a feature in y, w will be 1. If a feature from x is 50 will be two rows, one for each x/y pair of features with w = 0.5 in each.

Examples

b1 = sf::st_polygon(list(rbind(c(-1,-1), c(1,-1),
                           c(1,1), c(-1,1),
                           c(-1,-1))))
b2 = b1 + 2
b3 = b1 + c(-0.2, 2)
b4 = b1 + c(2.2, 0)
b = sf::st_sfc(b1, b2, b3, b4)
a1 = b1 * 0.8
a2 = a1 + c(1, 2)
a3 = a1 + c(-1, 2)
a = sf::st_sfc(a1,a2,a3)
plot(b, border = 'red')
plot(a, border = 'green', add = TRUE)

sf::st_crs(b) <- sf::st_crs(a) <- sf::st_crs(5070)

b <- sf::st_sf(b, data.frame(idb = c(1, 2, 3, 4)))
a <- sf::st_sf(a, data.frame(ida = c(1, 2, 3)))

sf::st_agr(a) <- sf::st_agr(b) <- "constant"

a_b <- calculate_area_intersection_weights(a, b)
b_a <- calculate_area_intersection_weights(b, a)

ncdfgeom documentation built on March 31, 2023, 9:03 p.m.