Who are you?

I haven’t really checked this page since I taught it in Spring of 09.  But I just did, and I see that there is a low level of continued usage – particularly for the function scatter.color.

So, I’m curious… who are you?  What are you using?  Who knows, if a lot of people are using something, I may just improve on it.

If you know me, say hi.  Heck, even if you don’t know me, say hi also.

GLM Lab

The lab is here, the data are here.

Principal Components (Empirical Orthogonal Functions)

The lab is here, the data are here.

grid <- expand.grid(x=lon,y=lat)

grid2 <- data.frame(x=grid$x,y=grid$y,eof=eof)

Spectral Analysis

The lab is here.

Time Series Lab 1

The lab is here.

Lab 8- Point Patterns

The lab is here.

I want you to add one thing to part 1: After you calculate and plot the L function, calculate and plot the K function.

Data for the second part are in this zip file.

Lab 7

The lab is here.

Lab 6

There is no assignment this week, but I have two R scripts for you to look at.  Rather than copying and pasting them into R, I would right click and choose “save link as”.

The first one, indicatorSim.R, looks at how you could use multiple indicator kriging to simulate an entire dataset. In the last lab, we used single indicator kriging to simulate the probability that a pixel was above 100 ppb with the jura dataset. Here, we will look at a range of values, from low to high.

The second one, lab6.GLS.R, applies Generalized Least Squares to the meuse data. The lead concentrations are first regressed on distance to the river using OLS. The residuals are then extracted, and a semivariogram is fit to them, and GLS is calculated.

Previous mid-term

I last taught this class two-year ago. Here is the mid-term. Some of the questions would be fair game this semester, others would not.

Lab 5

Lab 5 is here.