focal_vs_comp_distance: Return all pairwise distances between two data frames of...

In forestecology: Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees

Description

Return all pairwise distances between two data frames of trees

Usage

focal_vs_comp_distance(focal_trees, comp_trees)

Arguments

focal_trees	An sf polygon object of the focal trees of interest
comp_trees	An sf polygon object of the competitor trees

Value

A data frame with three columns: focal_ID of focal tree, comp_dist of competitor tree, and dist of distance between them.

See Also

Other spatial functions: add_buffer_variable(), compute_buffer_region()

Examples

library(tibble)
library(ggplot2)
library(sf)

# Create toy example focal and competitor trees
focal_trees <- tibble(
  focal_ID = c(1, 2, 3),
  x = c(0.3, 0.6, 0.7),
  y = c(0.1, 0.5, 0.7)
) %>%
  st_as_sf(coords = c("x", "y"))

comp_trees <- tibble(
  comp_ID = c(4, 5, 6, 7),
  x = c(0, 0.2, 0.4, 0.6),
  y = c(0.6, 0.7, 1, 0.2)
) %>%
  st_as_sf(coords = c("x", "y"))

# Plot both sets of trees
ggplot() +
  geom_sf_label(data = focal_trees, aes(label = focal_ID), col = "black") +
  geom_sf_label(data = comp_trees, aes(label = comp_ID), col = "orange") +
  labs(title = "Focal trees in black, competitor trees in orange")

# Compute corresponding distances between the 3 focal trees and 4 competitor trees
focal_vs_comp_distance(focal_trees, comp_trees)

forestecology documentation built on Oct. 2, 2021, 5:07 p.m.