Walker Lake data set

Folks,

I am starting a postgrad course in applied geostatistics and
I will be using the Isaaks and Srivastava text, _An Introduction
to Applied Geostatistics_.

I would very much like to use the same data set that they used
in their book.

The data set is the Walker Lake DEM. The authors say that the data is in
the Defence mapping agency planer format, 1 degree latitude x 1 degree
longitude with the two adjecent quadrangles being used. Points are about
200 ft apart giving about 2.5 million points per quad.

Has anyone heard of the Walker Lake data set being available through
ftp?

Cheers,
Chris Skelly
Lecturer, Department of Geography
James Cook University of North Queensland

Chris W Skelly (gewcs@jcu.edu.au) writes on 10 Oct 93:

Has anyone heard of the Walker Lake data set being available through
ftp?

I have the following:

MACHINE: pasture.ecn.purdue.edu (128.46.161.85, 128.46.133.85, 128.46.129.85)
DIRECTORY: pub/mccauley/data
DESCRIPTION: Micellaneous data sets
LAST UPDATED: Wed Aug 4 02:26:41 EST 1993
---------------------------------------------------------------------------
00index.txt This file
nitrate.tar 3D nitrate data (for a field down to 3 ft)
nitrate.README Essential reading for above
app_geost.dat.Z Isaaks and Srivastava, _Applied Geostat_
coalash.Z Cressie, _Statistics for Spatial Data_
pinetree.Z Cressie, _Statistics for Spatial Data_

Above is just table 6.1 - I'll try to locate the exhaustive U & V
data sets and make them available soon (I have them somewhere - just
have to find them). I do not have the entire DEM.

--Darrell

Darrell McCauley (mccauley@ecn.purdue.edu) writes on 10 Oct 93:

Chris W Skelly (gewcs@jcu.edu.au) writes on 10 Oct 93:

Has anyone heard of the Walker Lake data set being available through
ftp?

I have the following:

MACHINE: pasture.ecn.purdue.edu (128.46.161.85, 128.46.133.85, 128.46.129.85)
DIRECTORY: pub/mccauley/data
DESCRIPTION: Micellaneous data sets

I have added walker[uv].dat.gz and changed the compression
to use gzip/gunzip (available from prep.ai.mit.edu - much
better than unix 'compress').

--Darrell