f/EPA

INTRODUCTION

Environmental Monitoring
Systems Laboratory
P.O. Box 93478
Las Vegas NV 89193-3478

June 1991

OFFICE OF RESEARCH AND DEVELOPMENT

TECHNO

Geo-EAS: Software
for Geostatistics

United States
Environmental Protection
Agency

The Environmental Monitoring
Systems Laboratory-Las
Vegas (EMSL-LV) can meet
the needs of scientists who
work with spatially distributed
data. The complexity of
contaminant distribution and
migration at hazardous waste
sites requires a mathematical
method that is capable of
interpreting raw data and
converting them to useful

information. Geostatistics
began in the mining industry
and has grown to include
applications ranging from
microbiology to air monitoring.

Though the application of
geostatistics is crucial to the
delineation of buried contami-
nants, not every field scientist
can be expected to develop
customized geostatistical

SUPPORT PROJECT

algorithms for individual sites.
Geostaticians at the EMSL-
LV developed a software
package, Geo-EAS in 1988.
The current version, Geo-EAS
1.2.1, was released in 1990.
This program offers the
environmental scientist an
interactive tool for performing
two-dimensional geostatistical
analyses of spatially distrib-
uted data.

THE METHODOLOGY

EQUIPMENT
REQUIREMENTS

Geostatistical methods are
useful for site assessment
and monitoring where data
are collected on a spatial
network of sampling loca-
tions. Examples of environ-
mental applications include
lead and cadmium
concentrations in soils
surrounding smelters, and
sulfate deposition in
rainfall. Kriging is a
weighted moving average
method used to interpolate
values from a data set onto
a contouring grid. The
kriging weights are
computed from a
variogram, which measures
the correlation among
sample values as a
function of the distance
and direction between
samples.	

advantages over other inter-
polation methods:

Smoothing

Kriging regresses estimates
based on the proportion of
total sample variance ac-
counted for by random noise.
The noisier the data set, the
less representative the
samples and the more they
are smoothed.

Declusterlng

The kriging weight assigned
to a sample is lowered to the
degree that its information is
duplicated by highly corre-
lated samples. This helps
mitigate the impact of
oversampling hot spots.

Anlsotropy

When samples are highly

correlated in one direction,
kriging weights will be greater
for samples in that direction.

Precision

Given a variogram represen-
tative of the area to be esti-
mated, kriging will compute
the most precise estimates
from the data.

Estimation of the variogram
from sample data is a critical
part of a geostatistical study.
Geo-EAS is designed to
make it easy for the novice to
use geostatistical methods
and to learn by doing. It also
provides sufficient power and
flexibility for the experienced
user to solve practical
problems.

Geo-EAS was designed to
run under DOS on an IBM,
PC, XT, AT, PS2, or
compat-ible computer.
Graphics sup-port is provided
for Hercules, CGA, and EGA.
At least 512 Kb of RAM is
required, but 640 Kb is
recommended. An arithmetic
co-processor chip is strongly
recommended due to the
computationally inten-sive
nature of the programs, but is
nnt rpquirprl Programs

may be run from floppy disk
but a fixed disk is required to
use the programs from the
system menu. The system
storage requirement is ap-
proximately three megabytes.
For hardcopy, a graphic
printer is required. Support is
provided for most plotters.
Design features such as
simple ASCII file formats and
standardized menu screens,
give Geo-EAS flexibility for

future expansion. It is antici-
pated that Geo-EAS will be-
come a significant technology
transfer mechanism for more
advanced methods resulting
from the EMSL-LV research
and development programs

Geo-EAS software and docu-
mentation are public domain,
and may be copied and dis-
tributed freely.

0683EX91


-------
MAPS AND MENUS

The Geo-EAS programs use
an ASCII file structure for
input. The files contain a
header record, the number of
variables, a list of variable
names and units, and a nu-
meric data table.

All Geo-EAS programs are
controlled interactively
through menu screens which
permit the user to select op-
tions and enter control pa-
rameters. The programs are
structured to avoid a "black
box" approach to data analy-
sis. Several of the more
complex programs permit the
user to save and read param-
eter files, making it easy to
rerun a program.

The programs DATAPREP
and TRANS provide capabil-
ity for manipulating Geo-EAS
files. Files can be appended
or merged, and variables can
be created, transformed, or
deleted. Transformation
operations include natural
log, square root, rank order,
indicator, and arithmetic
operations.

POSTPLOT creates a map of
a data variable in a Geo-EAS
data file. Symbols represent-
ing the quartiles of the data
values or the values them-
selves are plotted at the
sample locations.

STAT1 computes univariate
statistics, such as mean and
standard deviation, for vari-
ables in a Geo-EAS data file,
and creates histograms and
probability plots.

SCATTER and XYGRAPH
both create x-y plots with
optional linear regression for
any two variables in a Geo-
EAS file. SCATTER is useful
for quick exploratory data
analysis, while XYGRAPH
provides additional capabili-
ties such as multiple "y" vari-
ables, and scaling options.

PREVAR creates an interme-
diate binary file of data pairs
for use in VARIO, which com-
putes and displays plots of
variograms for specified dis-
tance and directional limits.

Variogram models can be
interactively fitted to the ex-
perimental points. The fitted
model may be the sum of up
to five independent compo-
nents, which can be any com-
bination of nugget, linear,
spherical, exponential, or
Gaussian models. XVALID is
a cross-validation program
which can test a variogram
model by estimating values at
sampled locations from sur-
rounding data and comparing
the estimates with known
values.

KRIGE provides kriged esti-
mates for a two-dimensional
grid of points. A shaded map
of estimated values is dis-
played and a Geo-EAS file of
kriged grid results is gener-
ated.

CONREC generates contour
maps from a gridded Geo-
EAS data file, usually the
output from KRIGE. Options
are provided for contour inter-
vals and labels and degree of
contour line smoothing.

REFERENCE:

Isaaks, E. H. and R. M. Srivastava, An Introduction to Applied Geostatistics, Oxford University
Press, New York, 1989.

^G^'O/V

^OiOGV

AVAILABILITY:

For further information about Geo-EAS, contact Dr.

Evan Englund. Government agencies and academic
or research institutions can obtain a copy of Geo-EAS
with User's Guide at no charge by sending three Pre-
formatted high-density diskettes (5-1/4" or 3-1/2") to:

Dr. Evan J. Englund
U.S. Environmental Protection Agency
Environmental Monitoring Systems
Laboratory-Las Vegas
P.O. Box 93478
Las Vegas, NV 89193-3478
FAX: (702) 798-2248, FTS: 545-2248

Others can obtain a copy for a distribution charge of approximately $45 (includes diskettes,
User's Guide, and USA shipping) from either:

ACOGS	or	COGS

P.O. Box 44247	P.O. Box 1317

Tucson, AZ 85733-4247	Denver, CO 80201 -1317

FAX: (602)327-7752	Phone: (303)751-8553

The Technology Support Center fact sheet series is developed and written by
Clare L. Gerlach, Lockheed Engineering & Sciences Company, Las Vegas.

FOR FURTHER INFORMATION:

For information about the Technology
Support Center at EMSL-LV. contact:

Mr. Ken Brown, Manager

Technology Support Center

U.S. Environmental Protection Agency

Environmental Monitoring Systems

Laboratory-Las Vegas

P.O. Box 93478

Las Vegas, NV 89193-3478

(702) 798-2270, FTS 545-2270


-------