Anand,
I could not open your .grd file in R, I think the .gri file is missing.
However, looking at it in a text editor, and comparing with your
R-script, it seems something went wrong with your projections. Your
.csv-file has LatLong coordinates, but you are setting the projection to
Hi,
You have attached some data, but we still dont know exactly what you do
with the data (do you use the logarithm, how many bins, did you project
the data set...?). However, having had a quick look using the LatLong
coordinates (not really recommended), I can see that the variogram from
Dear Jon and Roman
Thanks for the reply.
Im attaching the code.
You may be right that the variogram may be problematic but it fitted well
visually.
I think also that the prediction grid was not well created. I wiould be
grateful to have to hints.code how to create a useful grid and also for
Unfortunately we don't have access to all the variables you use in `krige`
call. Consider making a reproducible example.
Cheers,
Roman
On Mon, Aug 3, 2015 at 5:30 PM, Anand Sookun asoo...@gmail.com wrote:
Hi
Thank you Roman for your kind response.
The data is as attached which is part of
Hi everybody,
I'm maurizio Marchi and I'm working as a post-doc at the Forestry Research
Centre of Arezzo (Italy) and I have a question concerning spatial points
management.
During my research activities I have to collect data about the crown
projection on the ground of trees. The aim is to
Dear Jon
I have to thank you so much for solving this issue. I did't notice that
there was a projection and grid problem.
I hope I would be able to move forward with my analysis with R and perhaps
still need your kind and much appreciated help.
Cheers
Anand
On Wed, Aug 5, 2015 at 12:08 PM,
Can you provide a (small) real set of data (with real values for x y)?
On Wed, Aug 5, 2015 at 9:56 AM, Maurizio Marchi
mauriziomarch...@gmail.com wrote:
photosynthetic
radiation
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Maurizio provided his data set offline. The code + data + sample plots
are in this gist:
https://gist.github.com/hrbrmstr/e29cf9138e480db9e67d
The data is just as he described it, so it's really just a matter of
creating some polygons from the the points spline interpolation:
