vary_density: Adjust triangulation by by dividing a densely populated...

In validmeasures/spatialsampler: An Implementation of the Centric Systematic Area Sampling (CSAS) and Simple Spatial Sampling Method (S3M) sampling approaches in R

Description

Adjust triangulation by by dividing a densely populated triangle into smaller triangles by adding 3 points at the middle of each side of the triangle

Usage

vary_density(
  sample,
  x,
  y,
  label = seq_along(x),
  basemap = NULL,
  crs = "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
)

Arguments

sample	A data frame containing selected villages for sampling. This is the data frame produced by get_nearest_point() function.
x	A character value specifying the variable name in sample holding the longitude information of the sampling locations.
y	A character value specifying the variable name in sample holding the latitude information of the sampling locations.
label	A character value specifying the variable name in sample holding the name of the sampling locations. If no name information available in data frame, specify a character vector with length equal to number of sampling locations in sample. Default is NULL.
basemap	A SpatialPolygonsDataFrame of base map to show when plotting triangulation. Default is NULL
crs	A character vector specifying the coordinate reference system to use for the spatial objects. Default is longlat projection for datum WGS84

Examples

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validmeasures/spatialsampler documentation built on Oct. 16, 2021, 3:15 a.m.