Hi Ben, Rolf,
Thanks for your help.
Ben : the code works perfectly.
thanks once again,
bhaskar
On Mon, Mar 23, 2020 at 4:17 PM Ben Tupper wrote:
> Hi,
>
> Rolf is correct that you might consider enclosing your nc_open(...) with
> try(nc_open(...)), and then testing if the value returned by
Hi,
Rolf is correct that you might consider enclosing your nc_open(...) with
try(nc_open(...)), and then testing if the value returned by try() inherits
from the "try-error" class. If there is no problem opening the NCDF file,
then it will return an "ncdf4" class object.
Also, you might isolate
On 24/03/20 10:52 am, Bhaskar Mitra wrote:
Hello Everyone,
I have written a loop which reads hundreds of .nc files
and extract information from each .nc file and
exports that corresponding information as a csv file.
The loop works fine until it encounters a .nc file which it cannot read
and
Hello Everyone,
I have written a loop which reads hundreds of .nc files
and extract information from each .nc file and
exports that corresponding information as a csv file.
The loop works fine until it encounters a .nc file which it cannot read
and the loop stops. I would appreciate if anyone
Please make the file in question available for download (url), or the url you
downloaded it from (no login), on this list. It looks as though the unsigned 16
bit integer is not right.
Roger Bivand
Norwegian School of Economics
Bergen, Norway
Fra: R-sig-Geo p�
I opened a Geotiff image in R using the raster function. However, the image
seems to be rescaled. The minimum and maximum values should be 13607 and
15461 but are 275 and 305. The Geotiff image when opened in a GIS is
correct but not in R.
This is my code:
Script:
library(raster)
Thanks Frederico,
But at this moment, I'll try to reduce steps (extract() - focal() -
resample()) and using only resample() function to change the number of
nearest cells, if is possible.
First, in "bilinear" method, I'll like to change the function for work
with the different number of
Hi Ruth, I had some experience with ENFA 5 years ago. Based on what I wrote back then, I didn’t interpret the specialization values as is, but instead they were aggregated into the overall (global) specialization index and then converted into the tolerance value by simply inverted it (x becomes
Hi Alexandre,
you can use extract from raster (check the examples in the help page).
Depending of your data you can create a spatial polygon that cover the
number of cells you want and define the summary function or use the buffer
argument.
Best regards,
Frederico Faleiro
Postdoctoral
Dear all,
I am trying convert netCDF data from rectilinear to regular grid in R, but
I am not sure what is the best approach for it.
I would like to convert the grid modifying the original resolution only
when necessary. In some cases I must change resolution to keep regular cell
size and cover
Hello,
I am running an ENFA analysis and am having trouble interpreting the
specialization values. Do the specialization values correspond to each
ecogeographical variable? If so they don't make sense in terms of what I am
seeing for the marginality values, i.e. marginality value for water is
Dear r-sig-geo members,
??? I?ve like to know the possibility of make some modifications in
resample() function in raster package. First, in "bilinear" method by
default is assigns a weighted average of the four nearest cells, and
I?ll like to change for five and six nearest cells, too, is
On Sun, 22 Mar 2020, Gary Dong wrote:
Thank you, Roger.
I ran Hausman.test() for both my spatial error model (p-value < 2.2e-16)
and my spatial Durbin error model (p-value = 3.693e-11). My
understanding of these two tests is that my SDEM performs better than my
SEM, but there is still room
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