samplePolygons: Take Observations from Polygons within the latent field

In nmmarquez/PointPolygon: Evaluate Point and Polygon Data Simulatneously

Description

Takes binomial trials from a probability field created by simField randomly from the field where each observation takes place within a given polygon and is representative of that polygon.

Usage

samplePolygons(field, N, M, times = NULL, p = 1, polygonList = NULL,
  rWidth = NULL, ...)

Arguments

field	field object which simulated underlying data
N	int, number of points for each polygon
M	int, Number of trials for each point
times	vector of int, times to sample from
p	numeric >0 & <=1, percentage of polygons sampled
polygonList	list, list of polygons to sample from
rWidth	integer, instead of using a polygon list divide the original bounding box into approximately equal sized squares with rWidth number squares along the x axis.
...	further argumnets for compatibility

Value

data.frame with observation number, number of trials, and the id of the pixel that the trail took place in.

Examples

require(sp)

set.seed(123)
unitSim <- simField(
    N = 300, 
    offset = c(0.1, 0.2), 
    max.edge = c(0.05,0.2),
    beta0 = -2,
    betaList = list(
        list(type="random", value=2),
        list(type="spatial", value=-.5),
        list(type="cluster", value=-2)
    ))

samplePolygons(unitSim, N=20, M=100, rWidth=3)

nmmarquez/PointPolygon documentation built on Dec. 10, 2020, 1:15 a.m.