Short Course Resource page

fields Fitting curves and surfaces to data

fields is a collection of programs based in R for curve and function fitting with an emphasis on spatial data and flexible covariance functions for Kriging.
Beta Version for the Field Guide: fields_5.01.tar.gz 21OCT2008

Estimated 20 year return levels
for daily rainfall in the Colorado Front Range.

Lecture 1, D. Nychka
Ridge Regression, Cubic smoothing splines

Lecture 2, D. Nychka
Kriging and spatial process estimates
ExampleO3.R
R code and fields examples for the Midwest daily ozone data set (ozone2).

Lecture 2b, D. Nychka
How does fields work?
R code for fields functions to illustrate how the package works.

Lecture 3, S. Sain
Multivariate spatial models.

Lecture 4, R. Furrer
Sparse matrix methods for large datasets.

Course source code directory

Data sets and more ...

Links to IMAGe Data sets
Includes almost all the US monthly weather data for the past 100 years and also the DEM for the Mary Jane ski area.
North American Regional Climate Change Assessment Program the primary source for a large suite of numerical climate exeriments.
NARCCAP companion data sets Some useful R-based data sets connected with this large regional climate experiment program including a high resolution DEM for North America in R binary format.


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