ggFieldEst: Run a Model and Estimate Underlying Field From Point and...

In nmmarquez/PointPolygon: Evaluate Point and Polygon Data Simulatneously

Description

Run a model and estimate underlying latent and probability field from point and polygon data using TMB.

Usage

ggFieldEst(field, predList, sd = FALSE)

Arguments

field	field object which simulated underlying data
predList	list of model predictions
sd	boolean, plot the standard error of field estimates

Value

ggplot object of underlying field and model estimates

Examples

## Not run: 
unitSim <- simField(
N = 100, rangeE = .5,
offset = c(0.1, 0.2), 
max.edge = c(0.1,0.2),
beta0 = -2)

pointDF1 <- samplePoints(unitSim, N=1200, M=100) 
pointDF2 <- samplePoints(unitSim, N=1200, M=100)

modelPredList <- lapply(list(pointDF1, pointDF2), function(x){
    simulateFieldCI(unitSim, runFieldModel(unitSim, x))
})

ggFieldEst(unitSim, modelPredList)

## End(Not run)

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