table_findAdjacentLocations: Finds adjacent locations in a known locations table.

In MazamaLocationUtils: Manage Spatial Metadata for Known Locations

Finds adjacent locations in a known locations table.

Description

Calculate distances between all locations within a known locations table and return a tibble containing all records that have an adjacent location separated by less than distanceThreshold meters. The return tibble is ordered by separation distance.

It is useful when working with new metadata tables to identify adjacent locations early on so that decisions can be made about the appropriateness of the specified distanceThreshold.

Usage

table_findAdjacentLocations(
  locationTbl = NULL,
  distanceThreshold = NULL,
  measure = c("geodesic", "haversine", "vincenty", "cheap")
)

Arguments

locationTbl	Tibble of known locations.
distanceThreshold	Distance in meters.
measure	One of "haversine" "vincenty", "geodesic", or "cheap" specifying desired method of geodesic distance calculation. See geodist::geodist for details.

Value

Tibble of known locations separated by less than distanceThreshold meters.

Note

The measure "cheap" may be used to speed things up depending on the spatial scale being considered. Distances calculated with measure = "cheap" will vary by a few meters compared with those calculated using measure = "geodesic".

Examples

library(MazamaLocationUtils)

meta <- wa_airfire_meta

# Any locations closer than 2 km?
meta %>%
  table_findAdjacentLocations(distanceThreshold = 2000) %>%
  dplyr::select(AQSID, timezone)

# How about 4 km?
meta %>%
  table_findAdjacentLocations(distanceThreshold = 4000) %>%
  dplyr::select(AQSID, timezone)

MazamaLocationUtils documentation built on Sept. 11, 2024, 9:08 p.m.