Dear Johannes,
Looks like you are in the field of error propagation
[http://spatial-accuracy.org/workshopSUP].
Both mean and median are valid statistical parameters to describe the central
tendencies. What is often more interesting is the propagated uncertainty in the
final estimates. I
On 05/03/2010 04:10 AM, Muhammad Rahiz wrote:
Hi all,
I hope someone can help me with this.
Given,
library(fields)
x - array(rnorm(100),dim=c(50,50))
image.plot(x)
I want to change the range in the color bar so that the range is from -1
to 1. I did adjust the image.plot() command to
Thanks Arien Jim for the useful tips.
I've used both methods suggested but am still not getting the desired
results.
The problem with my actual data is that it contains several extreme
values/outliers.The lab.breaks argument in image.plot() is able to
assign a color to a specific range of
Dear All,
I'm having trouble mapping the levels of a factor.
This is the code I have as of now. The legend works fine (suggesting that
item colours is correct), but not the map!
gino = factor(data_abs1$Ethnic.Dominance, labels = c( French, German,
Italian, Portuguese, Spanish, Fmr.
I am using autofitVariogram during the process of interpolating a large
set of daily observations through a volume. Each volume is decomposed
into 2D layers prior to selecting a model to use for interpolation. I
made it through 2010 interpolations and then ran into a failed
interpolation
