Dear all,
I am currently working with the spatstat package, using windows and pixel
images.
First:
My aim is to transform a shapefile (see attached) into a pixel image.
My idea is to start transforming the shapefile into a Spatial Polygon file:
x <- readShapeSpatial("21441.shp")
y <- as(
Dear all,
I am currently working with the spatstat package, using windows and pixel
images.
First:
My aim is to transform a shapefile (see attached) into a pixel image.
My idea is to start transforming the shapefile into a Spatial Polygon file:
x <- readShapeSpatial("21441.shp")
y <- as(
Dear all,
I've recently changed my Mac and I am trying to reinstall my commonly used
R-packages. I'm having troubles with a package called LaplacesDemon.
This package is no more in the CRAN list and the developers web page
(http://www.bayesian-inference.com/software) is out for more than half a
Dear all,
Finally I have tried three different options to integrate a function in a 3D
volume. Here
I show a test example. The volume is the box [0,100] x [0,100] x [0,100] and
the
function is
nfw(d) = 4/((d/5)*(1+(d/5))^2)
where d is the distance between each point in the box to the point (
Dear all,
I am currently working with the spatstat package with 3D samples. I am trying
to
evaluate a non analytical function over the window that encloses the sample and
I
need to know which is the fastest way of doing it.
The function input is a 3 coordinate position in the window (x,y,z) a
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