| clean_points {Mapinguari} | R Documentation | 
Clean occurrence records
Description
clean_points Eliminates species occurrence records that are too close to each other or at undesired locations.
Usage
clean_points(
  coord,
  merge_dist,
  coord_col = c("Lon", "Lat"),
  filter_layer = NULL,
  na.rm = FALSE
)
Arguments
| coord | data.frame. Data frame containing longitudes (Lon) and latitudes (Lat) of occurrence records of a species. | 
| merge_dist | numeric. Maximum distance between points to be merged, in meters. | 
| coord_col | vector of strings or integers. If x has more than two columns, indicate the name or position of longitude and latitude columns | 
| filter_layer | RasterLayer. Binary raster with 1 representing the regions where records should be kept and 0 the regions where they should be eliminated. | 
| na.rm | logical. if TRUE, remove lines with NA in any coordinate. | 
Value
Data frame with remaining longitudes and latitudes.
Examples
## Not run: 
#First, we need to obtain an altitude raster to filter by altitude.
library(raster)
alt <- raster::getData("alt", country = "BRA", mask = TRUE)
# Then, we clean the points
 TtorquatusDistribution_clean <-
  clean_points(coord = TtorquatusDistribution,
               merge_dist = 20000,
               filter_layer = !is.na(alt))
## End(Not run)
[Package Mapinguari version 2.0.1 Index]