Hi, I am trying to fit a Area-Interaction point process model to my data
consisting of log-landing locations in a forest. I get the following warning
message alongwith the result of the fitting: 1: In countingweights(id, areas) :
Some tiles with zero area contain points
2: In
Both sets of problems (with raster::plot and fields::image.plot) are now
essentially solved. My main raster-related problems proved to be
* confusing the template Raster* produced by projectExtent(...) with
the Extent object that the template Raster* contains
* using a cited CRS, rather than
ping yang Thu, 18 Oct 2012 22:47:07 -0400
I want to do a transform (re-projection) from a Lambert Conformal
Conic (grid, Daymet netCDF data) to Lat/lon grid. Has here someone
already done this kind of transformation?
No, but I have done a reverse regridding (from lon-lat to LCC), which
could
Paolo,
Using GLS seems a good approach for what you want to do.
However, as its names indicates GLS models does not use the OLS approach,
so you can't use the classic R square interpretation.
I would follow these steps (but if I am wrong please feel free to correct
me !!).
1) Run your model in
I've produced some 3D interpolation examples in the experimental package
GSIF (under construction). You can actually create some kind of voxels
via the SpatialPixelsDataFrame class
[http://gsif.r-forge.r-project.org/make.3Dgrid-method.html] and then
predict at those locations. Here are some
Hi,
at AGU FALL MEETING San Francisco 3-7 December 2012 [1] there will be a
course in:
Introduction to the Web-Enabled Landsat Data (WELD) Products Using Open
Source Software [2]
During the workshop we will go through same material stored at
http://www.spatial-ecology.net plus a
specific
