Function reference • spatialsampler

Description
`spatialsampler`	Simple Spatial Sampling Method (S3M)
Calculate
`calculate_area()`	Function to calculate the area size of the resulting hexagon in a hexagonal grid and the area size of the resulting triangle in a triangular grid for a specified value of `d` (in kilometres) used in the simple spatial sampling method (S3M).
`calculate_d()`	Function to calculate the distance `d` given an area size (in square kilometres) of a hexagon in a hexagonal spatial grid determining spatial resolution of spatial sampling
`calculate_height()`	Calculate height (distance from north to south) of S3M grid given a value of `d`
`calculate_length()`	Calculate length (distance from east to west) of S3M grid given a value of `d`
`calculate_n()`	Function to calculate the number of hexagonal grids
Sample
`create_buffer()`	Function to create a buffer around a SpatialPolygons or SpatialPolygonsDataFrame object. This is a wrapper for `gBuffer()` function from package `rgeos` adding transformation of planar coordinates to appropriate projected coordinates to enable creation of buffer.
`create_s3m_grid()`	Create the rectangular S3M grid given a value of d of the farthest distance of a village from a sampling point.
`create_sp_grid()`	Function to create sampling grids as per CSAS or S3M specifications. This is a wrapper function for `spsample()` function in `sp` package that adds arguments needed to implement CSAS and S3M-specific sampling.
`get_nearest_point()`	Function to select nearest community to a given sampling point (usually the centroid of a square grid for CSAS or of a hexagonal grid for S3M) using geodesic calculations based on a specified reference ellipsoid
`get_nn()`	Function to select nearest community to a given sampling point (usually the centroid of a square grid for CSAS or of a hexagonal grid for S3M) based on a nearest neighbour algorithm using Euclidean calculations
`get_tri()`	A wrapper function to `gDelaunayTriangulation()` to perform Delaunay triangulation with additional options to specify thresholds for suppressing long sided triangles
`nearest_point()`	Function to select nearest community to a given sampling point (usually the centroid of a square grid for CSAS or of a hexagonal grid for S3M)
`vary_density()`	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
Utility
`find_utm_hemisphere()`	Find UTM hemisphere based on a longitude and latitude GPS location.
`find_utm_zone()`	Find the UTM zone based on a longitude and latitude GPS location.
`get_utm()`	Get the appropriate UTM projection string given a longitude and latitude coordinate reference system values.
Data
`countryCentroid`	A dataframe of country centroids
`map_projections`	A dataset of UTM projections
`gedaref_villages`	A dataset of village names of Gedaref State, Sudan with data on coordinate locations
`sennar_villages`	A dataset of village names of Sennar State, Sudan with data on coordinate locations
`sudan01`	A map dataset of class SpatialPolygonsDataFrame of level 1 administrative units (states) of Sudan
`sudan02`	A map dataset of class SpatialPolygonsDataFrame of level 2 administrative units (localities) of Sudan

Reference

Description

Calculate

Sample

Utility

Data