Dear Community!
I need to calculate the total pixels of vegetation in my Quick bird Image.
I want to divide image by 300*300 pixel and then want to know how many pixels
are covered with vegetation within this area and so on for whole image.
e.g. Area1= 45 pixel out of 300*300 pixels, Area2=
Hi All
I'm trying to read grib files using Raster, form the ECMWF interim
dataset (example file linked below). I don't get errors but the
coordinate system of the read raster does not seem to match.
raster(tmp.grib)
class : RasterLayer
filename: /home/bart/Desktop/tmp.grib
nrow
This is more about kriging theory actually,
but I can't understand in which different ways the elevation information is
taken into account in the prediction process when e.g.:
- I apply ordinary cokriging on input data which include 3D (x,y,h) spatial
coordinates;
- I apply universal cokriging
Hi,
I am trying to do kriging with in strata. I use the example in book
Applied Spatial Data Analysis with R page:217. It works fine with
meuse data. But when I am trying to use my data it shows some error
massage.
Do I missing something here?
Thanks in advance
Zia
Note: I am using
It seems your lt.a contains missing values. Try
x1 - krige(sas ~ 1, tala[tala$lt.a == 0 !is.na(tala$lt.a), ], etc.
On 01/26/2011 06:07 PM, Zia Ahmed wrote:
Hi,
I am trying to do kriging with in strata. I use the example in book
Applied Spatial Data Analysis with R page:217. It works fine
I'm trying to read grib files using Raster, form the ECMWF interim
dataset (example file linked below). I don't get errors but the
coordinate system of the read raster does not seem to match.
Bart,
I think this is due to an instance of the grid vs. cell-center convention
mistake in gdal,
