plot.spatpredmodel: Plotting function for spatial predicitons.
In czigler/HEIfunctions: Functions for HEI Air pollution accountability grant

Description Usage Arguments Details Author(s)

Makes multiple plots to summarize baseline spatial predictions.

1	plot.spatpredmodel(outmodel, origdat = NULL, preddat = NULL, covname = NULL, plotnum = 1)

`outmodel`	model with baseline spatial predictions, of class spatpredmodel
`origdat`	original dataset
`preddat`	dataset for prediction
`covname`	string with covariate name in predicted dataset (used for validation)
`plotnum`	number specifying which plot to draw, see details

Plot numbers: 1. Traceplots and posterior density from original data model. 2. Extrapolated surface of original outcome data (not that interesting, just gives an idea of original spatial structure). 3. Use if you are validating the model only. Plot of true versus predicted mean pollution from model. 4. Use if you are validating the model only. Plot of standard deviation of predicted pollution samples versus standard deviation of predicted means from true pollution. 5. Use if you are validating the model only. Shows the location of the worst prediction in validation model.

Lauren

czigler/HEIfunctions documentation built on May 14, 2019, 1:43 p.m.