[R] How to "smoothen" a geodata set in R

[Daniel Malter]

To answer your questions:

Yes, yes, and probably no. You will have to pick up any introductory manual
of R where questions 1 and 2 will be discussed.

For 1: you index x as in x[452,682]. For 2: there are ways to write (and
avoid) loops in R (e.g. for or while loops). Often avoidance is preferable
because R is not very fast looping. For 3: I cannot say for sure, but as
long as you data is in matrix format or something that can be coerced to it,
no.

Daniel


Tariq wrote:
> 
> Hello, I'm new to this list. Sorry if my question or parts of it already
> came up before.
> 
> For my research in geostatistics, I am working with large sets of data in
> R (basically large matrices containing discrete x and y coordinates and a
> value for a certain parameter). These sets are obtained by kriging. The
> operation I'd like to perform is smoothen the output data set. I want to
> do it by adding each data point and its 8 surrounding points and dividing
> this by nine (gives an average), and then replacing each element in the
> matrix with the result.
> 
> Question 1: is there a way to address the parameter value of a single
> element (for example, the value for element [x=452, y=682] inside the
> matrix) and perform an operation on it in R?
> Question 2: is there a way to programm R into a loop, so that the same
> operation can be performed on all elements inside the matrix?
> Question 3: is it a problem if my data is geodata (made with the geoR
> library)?
> 

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