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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{dshape3dProp}
\alias{dshape3dProp}
\title{3d Kernel density estimation for data classified in polygons or shapes}
\usage{
dshape3dProp(
data,
burnin = 2,
samples = 5,
shapefile,
gridsize = 200,
boundary = FALSE,
deleteShapes = NULL,
fastWeights = TRUE,
numChains = 1,
numThreads = 1
)
}
\arguments{
\item{data}{data.frame with 5 columns: x-coordinate, y-coordinate (i.e. center of polygon) and number of observations in area for partial population and number of observations for complete observations and third variable (numeric).}
\item{burnin}{burn-in sample size}
\item{samples}{sampling iteration size}
\item{shapefile}{shapefile with number of polygons equal to nrow(data) / length(unique(data[,5]))}
\item{gridsize}{number of evaluation grid points}
\item{boundary}{boundary corrected kernel density estimate?}
\item{deleteShapes}{shapefile containing areas without observations}
\item{fastWeights}{if TRUE weigths for boundary estimation are only computed for first 10 percent of samples to speed up computation}
\item{numChains}{number of chains of SEM algorithm}
\item{numThreads}{number of threads to be used (only applicable if more than one chains)}
}
\description{
3d Kernel density estimation for data classified in polygons or shapes
}
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