analyse geo-time data

Pebesma, E.J., Duin, R.N.M., Burrough, P.A., 2005. Mapping 
sea bird densities over the North Sea:
spatially aggregated estimates and temporal changes. 
Environmetrics 16(6), 573--587.
http://dx.doi.org/10.1002/env.723
(The authors claim to have put the R script on-line but I 
could not locate them anymore) 

-----Original Message-----
From: r-sig-geo-bounces at stat.math.ethz.ch 
[mailto:r-sig-geo-bounces at stat.math.ethz.ch] On Behalf Of 
Tomislav Hengl
Sent: 13 January 2009 09:35
To: 'Katona Lajos'; r-sig-geo at stat.math.ethz.ch
Subject: Re: [R-sig-Geo] analyse geo-time data


Dear Katona,

R (i.e. its packages) are definitively suited for analysis of 
spatio-temporal data. Try searching the packages in the 
[http://cran.r-project.org/web/views/Environmetrics.html] 
views; in fact, there is a section dedicated to time-series 
[http://cran.r-project.org/web/views/TimeSeries.html].

There are several good papers on spatio-temporal interpolation e.g.:

Pebesma, E.J., Duin, R.N.M., Burrough, P.A., 2005. Mapping 
sea bird densities over the North Sea:
spatially aggregated estimates and temporal changes. 
Environmetrics 16(6), 573--587.
http://dx.doi.org/10.1002/env.723
(The authors claim to have put the R script on-line but I 
could not locate them anymore) 

If you are interested in the analysis of time-series data, 
take a look at this book:

Chatfield, C., 2003. The Analysis of Time Series: An 
Introduction (6th edition). CRC Press, pp. 352.
http://people.bath.ac.uk/mascc/TS 

Dynamic modeling of spatial phenomena is more difficult (e.g. 
dynamic simulation of flu spreading).
Maybe you should consider using some diffusion algorithm from 
ecology? E.g.: diffusion function implemented in the 
"simecol" package:

http://bm2.genes.nig.ac.jp/RGM2/pkg.php?p=simecol 

Or maybe consider using some hydrological flow models as 
implemented in e.g. SAGA GIS.


Few remaining questions:
1. What kind of variables are your talking about? Give some examples.
2. Does your data has a point support or is it areal (polygons)?


HTH,

Tom Hengl
http://spatial-analyst.net 

-----Original Message-----
From: r-sig-geo-bounces at stat.math.ethz.ch 
[mailto:r-sig-geo-bounces at stat.math.ethz.ch] On Behalf Of 

Katona Lajos

Sent: Thursday, January 08, 2009 10:30 PM
To: r-sig-geo at stat.math.ethz.ch
Subject: [R-sig-Geo] analyse geo-time data

Dear all,

can you suggest/advise statistical methode in R to analyse my time 
series and regional/spatial data?
I have 174 region and daily (365) data for every region (geo-time 
data). (There is 174*365=63510
data/observation)

How can I building a model what is founded on parameters of 

spatial and time series.

I'd like to simulate how to expand a contagious disease 

(flu). Find typical patterns and paths.

What do you think what is the best way to discover and 

analyse my data?

Thank you in anticipation,
Lajos Katona