Dear all,
I want to make GWR analysis to predict precipitation distribution measured from
225 meteorological stations. I have three independent variables (Z, V1, V2). I
want to obtain predictions on the grid dataset which has 31203 number of
pixels. I gave some details about my datasets
On 06/09/2010 11:01 PM, Dylan Beaudette wrote:
On Wednesday 09 June 2010, Hadley Wickham wrote:
On Wed, Jun 9, 2010 at 3:24 PM, Edzer Pebesma
edzer.pebe...@uni-muenster.de wrote:
The example provided by Matt assumes that each polygon consists of a
single ring, and doesn't have
On Fri, 11 Jun 2010, Pinar Aslantas Bostan wrote:
Dear all,
I want to make GWR analysis to predict precipitation distribution
measured from 225 meteorological stations. I have three independent
variables (Z, V1, V2). I want to obtain predictions on the grid dataset
which has 31203 number
Dear Jeff,
I think you cannot escape discretizing your kriging surface as there is
no mathematical expression that captures the kriging surface. To use
optim you could make an objective function that was two inputs, x and y
location. The functions calls the fields package to estimate the
On 06/08/2010 12:37 PM, adrian.badde...@csiro.au wrote:
Hamidhamid200...@yahoo.com writes:
I use the following function to simulate CSR point pattern nsim times.
This is a question about the package 'spatstat'.
Is there a way to reduce running time (maybe by avoiding the
Dear Roger,
I tried with data frames instead of SPDF. I gave some details of names and
class types of datasets. Grid data has 31204 rows (first row is column names)
and 5 columns (Z,X,Y,V1,V2). Station data has 226 rows (first row is column
names) and 6 columns (PREC,Z,X,Y,V1,V2). I gave
Dear list,
I would like to evaluate spatial dependence for about 1 spatial data
points. However, the variable associated with those points is not continuous as
in the data meuse but is a land cover type (e.g. WATER). What should I
consider as variable Z in the variogram() function with
Hi Julian, and list,
the variogram calculates the average squared difference between z-values
separated by particular lags. Calculating differences with nominal data, and
certainly IDs, is wrong. You will get results, but garbage in, garbage out
applies here.
That said, you can calculate
On Fri, 11 Jun 2010, Pinar Aslantas Bostan wrote:
Dear Roger,
I tried with data frames instead of SPDF. I gave some details of names
and class types of datasets. Grid data has 31204 rows (first row is
column names) and 5 columns (Z,X,Y,V1,V2). Station data has 226 rows
(first row is
