rasterize_dets: Rasterize acoustic detections

In bsmity13/ADePTR: Acoustic Detection Processing and Visualization Tool in R

Description

This function takes either detections at stations or centers of activity (COAs) and creates a raster map showing number of detections in each cell.

Usage

rasterize_dets(det_locs, r = init_raster(sta = det_locs))

Arguments

det_locs	A data.frame of georeferenced acoustic detections. Could be, e.g., the data.frame returned by proc_dets() or the data.frame returned by coa_locs()
r	A blank raster to use as the template for rasterizing the locations. Defaults to a call to init_rast() with det_locs passed as the argument sta

Details

Calls the function raster::rasterize() to generate the raster. Uses the function 'count'

Value

Returns an object of class RasterLayer with values equal to the number of detections in each raster cell.

Examples

#Load example data
data(acoustic)

#Process detections
proc.det <- proc_dets(det = acoustic$detections, sta = acoustic$stations)

#Default rasterize
r1 <- rasterize_dets(det_locs = proc.det)

#Plot
plot(r1)
plot(acoustic$land, add = TRUE, col="wheat")

#Rasterize with a smaller grid
r2 <- rasterize_dets(det_locs = proc.det,
                     r = init_raster(sta = proc.det, res = 0.001))

#Plot
plot(r2)
plot(acoustic$land, add = TRUE, col="wheat")

#Rasterize COAs
coas <- coa_locs(proc.det)
r3 <- rasterize_dets(det_locs = coas,
                     r = init_raster(sta = proc.det, res = 0.001))

#Plot
plot(r3)
plot(acoustic$land, add = TRUE, col="wheat")

bsmity13/ADePTR documentation built on Nov. 9, 2019, 12:43 a.m.