Hi!
I´m a beginner with R and I´m trying to calculate area of polygons
(homerange areas of 31 individuals) intersecting with bufferzones around
4348 number of windfarms. I have read this webpage as a help:
http://rstudio-pubs-static.s3.amazonaws.com/7993_6b081819ba184047802a508a7f3187cb.html
Tom, here goes the details
The Meteosat images are composed by a matrix of pixels with values of
surface temperature (or cloud top temperature) in Kelvin, which means
values like 273.15
I wanted to keep the decimals, thus I need a FLT4S 4-byte values. When using
Hello Zebrat,
The datatype= argument appears to work well on my system. See if you can
reproduce the example below:
library(raster)
r - raster(system.file(external/test.grd, package=raster))
writeRaster(r, filename = 'rasterDefault.tif')
GDALinfo('rasterDefault.tif')
# By default raster writes
Dear Thiago,
Your prediction raster (here v1rst) should contain three layers/bands with
each named exactly as your predictors (here v1 and v2). Currently it
contains just one raster layer. I would suggest to prepare layers and then
create a raster brick.
Regards,
Dhyey
--
Dhyey Bhatpuria,
Zebrat--
Loic's example works and generates different sized files on my system.
sessionInfo():
R version 3.1.1 (2014-07-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United
Hi,
Sorry, I've posted the
code with some mistakes.
Consider the code below.
I've one response, and two predictors,
v1 (numeric) and v2 (factor).
So, I have just one predictor
which is possible to have a raster, the other is a categorical
variable.
How to predict to rasters considering
Hi Dhyey Bhatpuria,
Sorry, I've posted the code with some mistakes.
Consider the code below.
I've one response, and two predictors, v1 (numeric) and v2 (factor).
So, I have just one predictor which is possible to have a raster, the other
is a categorical
variable.
How to predict to rasters
I have a rasterBrick (temp) with global temperatures, and a rasterLayer
(regions) of global regions. I would like to create a rasterBrick of regional
average temperatures. So far I have the following:
region1-mask(temp,regions,maskvalue=1,inverse=TRUE)
mean1-cellStats(region1,mean)
Hi Rebecka,
I can't help you with your homerange problem right now, but maybe give you
a hint about the intersection.
I also unsuccesfully tried to use gIntersection until I was told that the
raster (!) package has a function intersection which worked perfectly
for me.
My last R-project
Dear list,
For the record; I found a workaround for the mentioned issue.
It seems that when changing the file from tiff to sdat something goes wrong
in the transformation. In the 'GDAL: import raster' tool of SAGA there is an
option to turn transformation on and choose what method to use. This
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