On Wed, 29 Aug 2007, Michael Sumner wrote:
> Hello,
>
> In short: they are probably in UTM (metres) for whatever UTM zone your
> counties are closest to.
>
> Shape files sometimes have this information in a .prj file.
Yes, the input shapefile is not in geographical coordinates. But I don't
think
Hello,
In short: they are probably in UTM (metres) for whatever UTM zone your
counties are closest to.
Shape files sometimes have this information in a .prj file.
If you use rgdal,
library(sp)
library(rgdal)
d <- readOGR("FiveNWStateCounties.shp", "FiveNWStateCounties")
proj4string(d)
If pro
Hello List:
I'm getting to know the polygon centroid - generating functions
get.Pcent() (maptools) and calcCentroid() (PBSmapping),
and would like to know the units of the centroid point coordinates.
Working with maptools version:
library(maptools)
MapPolysMapClass = read.shape("FiveNWStateCo
On Tue, 28 Aug 2007, Terry Griffin wrote:
> Greetings,
>
> I'm running a simulation and want to collect the p-values from the
> sp.correlogram in spdep (version 0.4-4). I've used the $res to collect
> the estimate and variance, but would like to collect the p-values "on
> the fly" in an interm
Greetings,
I'm running a simulation and want to collect the p-values from the
sp.correlogram in spdep (version 0.4-4). I've used the $res to collect the
estimate and variance, but would like to collect the p-values "on the fly" in
an intermediate step. Any suggestions?
[[alternative
ello.
Does anyone try to develop B(aysian)GWR package for R or
extension of spgwr?
I know Matlab's spatialtoolbox lib. has this function.
Regards.
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Stefano
> Dear List,
> I would like to try (for the first time!) the Bayesian Kriging Approach
> using
> *geoR* package, but there is a point that is not so clear to me: since I've
> to transform my data in order to obtain a Gaussian dataset (it's right?),
> i) variography analysis ha
Maybe it's about kernel density estimation and non-parametric kernel
regression estimation in point pattern analysis. I have some materials on
application and theories for them, but i haven't found how to do them in R,
respectively.
Anybody can show the functions for kernel density estimation a
Hello,
In our lab we have an actual mapping problem and maybe there is an R
solution to it.
Aim is to calculate a surface from calculated data of fine root
biomass. Therefore a number of single trees (approx. 3000) have been
sampled. With a function from the literature it is possible to
es
