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Geostatistical Analyst Tutorial
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Geostatistical Analyst Tutorial
Introduction to the ArcGIS Geostatistical Analyst
Tutorial
With ArcGIS Geostatistical Analyst, you can easily create a continuous surface, or map, from measured
sample points stored in a point feature layer or raster layer or by using polygon centroids. The sample points
can be measurements such as elevation; depth to the water table; or levels of pollution, as is the case in this
tutorial. When used in conjunction with ArcMap, Geostatistical Analyst provides a comprehensive set of tools
for creating surfaces that can be used to visualize, analyze, and understand spatial phenomena.
Tutorial scenario
The U.S. Environmental Protection Agency is responsible for monitoring atmospheric ozone concentration in
California. Ozone concentration is measured at monitoring stations throughout the state. The locations of
the stations are shown here. The concentration levels of ozone are known for all the stations, but the ozone
values for other (unmonitored) locations in California are also of interest. However, due to cost and
practicality, monitoring stations cannot be placed everywhere. Geostatistical Analyst provides tools that
make optimal predictions possible by examining the relationships between all the sample points and
producing a continuous surface of ozone concentration, standard errors (uncertainty) of predictions, and
probabilities that critical values are exceeded.
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Geostatistical Analyst Tutorial
The data required to complete the exercises is included on the tutorial data DVD. When you run the wizard
to install this data, check to install the Geostatistical Analyst data (the default installation path is
C:\ArcGIS\ArcTutor\Geostatistical Analyst). The following datasets (which are contained in a geodatabase
called ca_ozone.gdb) will be used in the tutorial:
Dataset
Description
ca_outline
Outline of California
O3_Sep06_3pm
Ozone point sample values (ppm)
ca_cities
Major California cities
ca_hillshade
A hillshade map of California
The ozone dataset (O3_Sep06_3pm) was provided courtesy of the California Air Resources Board and
represents the concentration of ozone measured on September 6, 2007 between 3:00 and 4:00 p.m. in parts
per million (ppm). The original data has been modified for the purpose of the tutorial and should not be
considered accurate data.
From the ozone point samples (measurements), you will produce two continuous surfaces (maps) predicting
the values of ozone concentration for every location in the state of California. The first map that you create
will simply use all the default options to introduce you to the process of creating a surface from your sample
points. The second map that you produce will allow you to incorporate more of the spatial relationships that
are discovered among the points. When creating this second map, you will use the exploratory spatial data
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Geostatistical Analyst Tutorial
analysis (ESDA) tools to examine your data. You will also be introduced to some of the geostatistical options
that you can use to create a surface, such as removing trends and modeling spatial autocorrelation. By
using the ESDA tools and working with the geostatistical parameters, you will be able to create a more
accurate surface. Many times, it is not the actual values of some critical health risk that are of concern but
rather whether the values are above some toxic level. If this is the case, immediate action must be taken.
The third surface you create will assess the probability that a critical ozone threshold value has been
exceeded. For this tutorial, the critical threshold will be if the value of ozone goes above 0.09 ppm
(California State's ambient air quality standard for hourly measurements); then the location should be closely
monitored. You will use Geostatistical Analyst to predict the probability that ozone values across California
complied with this standard on September 6, 2007 between 3:00 and 4:00 p.m.
This tutorial is divided into individual tasks that are designed to let you explore the capabilities of
Geostatistical Analyst at your own pace.
Exercise 1 takes you through accessing Geostatistical Analyst and the process of creating a surface
of ozone concentration using default parameter values to introduce you to the steps involved in
creating an interpolation model.
Exercise 2 guides you through the process of exploring your data before you create the surface to
spot outliers and recognize trends.
Exercise 3 creates a second surface that incorporates more of the spatial relationships discovered in
exercise 2 and improves on the surface you created in exercise 1. This exercise also introduces you
to some of the basic concepts of geostatistics.
Exercise 4 shows you how to compare the results of the two surfaces that you created in exercises
1 and 3 and how to decide which surface provides the better predictions of the unknown values.
Exercise 5 takes you through the process of mapping the probability that ozone exceeded a critical
threshold, creating a third surface.
You will need a few hours of focused time to complete the tutorial. However, you can also perform the
exercises one at a time if you want. It is recommended that you save your results after each exercise.
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