Soil and Water Science Department

   Course will not be offered in 2013.

   McCarty Hall B, Room 3086
   University of Florida, Gainesville, FL

Course Overview Course Instructor Transportation Information
Who Should Attend? About the Book Area Information
10 Ways to Benefit Registration Information Other Sites of Interest
Course Topics Training Site

Further Information

Tentative Agenda Hotel Accommodations

Course Overview

This course will introduce a suite of geostatistical methods for the spatial analysis of environmental data. Participants will learn how to apply geostatistics for the description of spatial patterns and identification of scales of variability, spatial interpolation and stochastic modeling of environmental attributes, creation of risk maps and their use in decision-making. Lectures will alternate with analysis of environmental data using the Stanford Geostatistical Modeling Software
(S-GeMS) and
Biomedware Space-time Information System (SpaceStat). Test datasets will be prepared so that results of geostatistical prediction and impacts on decision-making can be compared and discussed during the course. Each participant will receive a set of lecture notes and have the opportunity to purchase a copy of  Dr. Goovaerts’ textbook. A copy of the public domain S-GeMS software will be provided. Ample time will be allocated to discussion, and participants are invited to bring their own case studies to seek
Dr. Goovaerts opinion. The course provides 30 hours of training and instruction, and a Certificate of Completion will  be provided upon conclusion. Enrollment is limited, so register early to secure a seat in the course. Advance registration is required.

A key feature of environmental information is that each observation relates to a particular location in space. Knowledge of an attribute value, say a pollutant concentration or a soil property, is of little interest  unless the location of the measurement is known and accounted for in the analysis. Another feature is that  the information available is usually sparse which, in combination with the imperfect knowledge of underlying processes, leads to a large uncertainty about the actual spatial distribution of values. Such an uncertainty needs to be quantified and accounted for in decision-making, hence probabilistic (statistical) tools are increasingly preferred to a deterministic approach where a single (error-free) representation is sought. Biomedware's Space-time Information System (SpaceStat) provides a set of statistical tools for the analysis of data distributed in space and time. It allows the description of spatial patterns in the data, the incorporation of multiple sources of information in the mapping of environmental attributes, the modeling of the spatial uncertainty and its propagation through decision-making. Since its development in the mining industry, geostatistics has emerged as the primary tool for spatial data analysis in various fields, ranging from earth and atmospheric sciences, to agriculture, soil science, environmental studies, and more recently exposure assessment and environmental epidemiology. The recognition of the importance of geostatistical analysis is illustrated by the inclusion of geostatistical functions in a growing number of products, including ArcGIS Geostatistical Analyst and Biomedware Space-time Information System (SpaceStat).

"I just wanted to let you know that I truly enjoyed the class last week and have recommended it to my workmates here at GSI. It is such a rare treat to take a class from a talented and creative statistician who is not arrogant and contemptuous. Really, you have a gift for explaining complex ideas in a simple and straightforward way, and I am grateful to have had to opportunity to take the class. Thanks again."

    Dr. Mindy Vanderford
    Groundwater Services, Inc.

"I enjoyed the course very much and found it to be not only quite challenging but also provocative and inspiring. For myself, there are many skills necessary to more efficiently apply this advanced knowledge, and your course and accompanying book will serve to provide a template on which to build a more confident approach to geostatistical analysis. Cheers!"

    David M. Mahnken
    South Florida Water Management District

"I enjoyed your class and you did an excellent job teaching a challenging subject in such a short time. As they say today: "it was content rich!" The course will be a resource I'll draw upon for quite sometime. I'll recommend your course to colleagues should you have an opportunity to teach it again here in the southeast. Thanks."

    Gregory M. Brown, P.E., Sr.
    Engineer, Levine-Fricke LFR Inc

"Thanks for the information on S-GEMS. I really enjoyed your short course - the lectures and exercises were excellent and I'm looking forward to using some of these geostatistical tools. Well worth the trip."

    Andrew Swales, NIWA, Coastal
    Processes Group, New Zealand

"I thoroughly enjoyed the course and learned much. The class exceeded my expectations and I am now excited to apply the geostatistical techniques on my own data. Thank you for all your hard work."

    Mark Endries, FWC, Information
   Science & Management

"Thanks very much for putting together the excellent geostatistics Course at University of Florida. This was all a very new approach for me and I really enjoyed the opportunity to learn something new form a superb teacher. Again, thanks for offering the course. It's going to be very useful in my future work."

    Thomas Forbes, Ecologist
    USEPA Analytical Support Branch


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Who Should Attend?
  • Academics

  • Agricultural Engineers

  • City and County Government
    Officials and Decision-makers

  • Climatologists

  • Environmental Consultants

  • Environmental Engineers

  • Environmental Epidemiologists

  • Environmental Regulators

  • Environmental Scientists

  • Foresters

  • Geotechnical Engineers

  • Geophysicists and Geologists

  • Soil Scientists

  • Scientists and scientists in training

  • Others seeking training in GIS

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10 Ways to Benefit

Upon completion of this course, you will be able to:

  1. Import, visualize and analyze your own data in a space-time information system.

  2. Conduct a complete geostatistical analysis using the new software developed at Stanford University.

  3. Detect spatial outliers in your data.

  4. Analyze and model the spatial variability of your data.

  5. Map sparsely sampled environmental attributes, and characterize the reliability of those maps.

  6. Choose the interpolation technique that makes best use of the information available.

  7. Create risk maps, and use them in decision-making.

  8. Gain a basic understanding of state-of-the-art geostatistical methods for stochastic simulation and space-time interpolation.

  9. Explore and visualize local relationships between environmental variables.

  10. Conduct a critical reading of the current geostatistical literature.

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Course Topics

  • What is Geostatistics? History of Geostatistics, types of spatial data, books and on-line resources.

  • Spatial exploratory data analysis. Data import and visualization, data transformation, detection of spatial outliers.

  • Description of spatial pattern. Concepts of correlogram and semivariogram, semivariogram map, analysis of direction-dependent variability.

  • Spatial prediction. Different types of kriging, change of support, cross-validation and jackknife.

  • Accounting for secondary information in kriging. Algorithms to incorporate exhaustive secondary layers, cokriging, modeling of cross-semivariograms.

  • Risk mapping and incorporation in decision making. Parametric versus non-parametric approaches, indicator kriging, goodness of uncertainty models.

  • Stochastic simulation. Simulation versus estimation, simulation algorithms.

  • Space-time geostatistics. Approaches available, a space-time model.

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Tentative Agenda

Day 1:  Monday, August 13, 2012


Registration/Sign-in:  pick up course materials and name badge



• What is Geostatistics?

 History of Geostatistics

 Types of spatial data

 Data used in the course

 Books and software




Exploratory Spatial Data Analysis

 Data import and visualization

 Summary statistics & histogram

 Data transformation

 Exercise 1 (S-GeMS)


Lunch on own


Exploratory Spatial Data Analysis

 Exercise 2 (STIS)

 Variogram cloud

 Detection of spatial outliers

 Exercise 3 (STIS)




Description of Spatial Patterns

 Concepts of correlogram and semivariogram

 Semivariogram map

 Standardized semivariograms


Day 2:  Tuesday, August 14, 2012


Description of Spatial Patterns

 Exercise 4 (S-GeMS)

 Analysis of direction-dependent variability

 Exercise 5 (S-GeMS)




Modeling the Spatial Variability

 Deterministic versus probabilistic modeling

 Concepts of random variable and function

 Decision of stationarity


Lunch on own


Modeling the Spatial Variability

 Modeling the semivariogram

 Anisotropy modeling

 Exercises 6 & 7 (S-GeMS, STIS)




Spatial Prediction

 Concept of kriging

 Kriging variance

 Change of support and block kriging

 Cross validation & jackknife


Day 3:  Wednesday, August 15, 2012


Spatial Prediction

 Exercise 8 (S-GeMS)

 Aggregation & visualization of jackknife results

 Exercises 9 & 10 (STIS)




Accounting for Secondary Information in Kriging

 Exhaustive secondary information

▫ Kriging within strata

▫ Simple kriging with varying local means

▫ Kriging with an external drift

▫ Co-located kriging


Lunch on own


Accounting for Secondary Information in Kriging

 Better sampled secondary information

▫ Cokriging

▫ Cross semivariogram estimation

▫ Linear model of coregionalization

▫ Markov models

 Exercise 11 (S-GeMS)




Accounting for Secondary Information in Kriging (continued)


Day 4:  Thursday, August 16, 2012


Accounting for Secondary Information in Kriging

 Advanced topics

▫ Nested semivariogram models

▫ Scale-dependent correlation

▫ Geographically-weighted regression




Risk Mapping and Incorporation in Decision-making

 Modeling the local uncertainty

 MultiGaussian kriging

 Exercise 12 (S-GeMS)

 Indicator semivariogram

 Indicator kriging

 Accounting for soft information in indicator kriging


Lunch on own


Risk Mapping and Incorporation in Decision-making

 Exercise 13 & 14 (S-GeMS)

 Accounting for local uncertainty in decision-making

 Goodness of uncertainty models




Risk Mapping and Incorporation in Decision-making

 Case study: Arsenic in MI groundwater & airborne Cd contamination


 Day 5:  Friday, August 17, 2012


Stochastic Simulation

 Simulation versus Estimation

 Why stochastic simulation

▫ Visualization of Spatial Uncertainty

▫ Change of support

▫ Propagation of Uncertainty

 Concept of space of uncertainty

 Simulation Algorithms

▫ Sequential simulation

▫ Simulated annealing

▫ P-field simulation

 Exercise 15 (S-GeMS)




Stochastic Simulation (continued)



Lunch on own


Stochastic Simulation

 Example of simulation studies

▫ Soil nitrate in the Santa Fe River watershed

▫ Soil dioxin in Midland, Michigan

Space-time Geostatistics

 Approaches available

1. Space-rich Time-poor information

2. Space-poor Time-rich information

3. Space-rich Time-rich information

 A space-time model (Sulfate in Europe)

 Comparison of space-time interpolation methods (PM2.5 in Los Angeles)

 Exercise 16 (STIS) 

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Course Instructor

Dr. Pierre Goovaerts studied at the Catholic University of Louvain-la-Neuve (Belgium) and at Stanford University, where he wrote the textbook entitled Geostatistics for Natural Resources Evaluation published by Oxford University Press in 1997. After five years on the Faculty at the University of Michigan, he became in 2002 Chief Scientist for the R&D Company, Biomedware,Inc. and he created his own consulting company, PGeostat, LLC. Dr. Goovaerts has authored more than 80 refereed papers in the field of theoretical and applied geostatistics, and he is a reviewer for 50 international journals. He has taught numerous short courses in the US, which were attended by academics, consultants and federal employees. He acts as a consultant for the Environmental Protection Agency, the Nuclear Regulatory Commission, and he is bringing his expertise to numerous projects dealing with the characterization of air, soil and water pollution and its impact on human health. Most recently, Dr. Goovaerts has been appointed a Courtesy Associate Professor at the University of Florida, Soil and Water Science Department.

For more information about Dr. Goovaerts, visit his Home Page at:

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About the Book

"Every decade or so, as knowledge about geostatistical concepts has developed and evolved, a book has appeared that has seemed to uniquely define the discipline at that point in time. This is one of those books, providing a remarkable synthesis of all that this field of study is about and has become over the last 10 years. It is clearly the best overall presentation of geostatistical theory and methodology currently available today. As a teaching resource, the book provides comprehensive coverage of all the major geostatistical topics of both current and historical interest. This book is unmistakably the leader in its field today, and it will likely be so throughout most of the decade to come. Anyone seriously engaged in the development and practice of geostatistical methodology will want to have a copy close at hand. Goovaerts is to be commended for his tireless efforts in producing a volume that should stand the test of time."

    — Timothy Coburn, Technometrics, Nov 2000,
         Vol 42, No 4

Geostatistics for Natural Resources Evaluation
provides an advanced-level introduction to geostatistics and geostatistical methodology. The discussion includes tools for description and quantitative modeling of spatial continuity, spatial prediction, assessment of local uncertainty and stochastic simulation. The book is addressed to students and practitioners with an undergraduate knowledge of statistics who want to gain an understanding of the methodology. The various tools are illustrated using soil contamination data that are provided with the book and were analyzed using the public domain geostatistical software library Gslib, which makes the book highly suitable for teaching both theory and practice of geostatistics.


Visit this web site: to review the Table of Contents of Geostatistics for Natural Resources Evaluation.

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Registration Information

Enrollment in this course is limited to the first 25 participants, and registrations will be accepted on a first-come, first-served basis. Please note that the first time this course was offered at the University of Florida, it filled in a matter of only a few days. Due to the specialized nature of this course, advance registration is required, and we encourage you to register early to secure a seat in the course. After the cancellation deadline, registration fees will not be refunded.

All figures are presented in US dollars ($).
Early Reduced Registration
(on or before July 13, 2012)
Regular Registration
(after July 13, 2012)
(if space is available)
without textbook.....................$1,200 without textbook...................$1,500
WITH textbook ...................$1,300

Geostatistics for Natural Resources Evaluation

WITH textbook ...................$1,600

Geostatistics for Natural Resources Evaluation

Early Reduced Student Registration*
(on or before July 13, 2012)
Regular Student Registration*
(after July 13, 2012)
(if space is available)
without textbook.....................$800 without textbook...................$1,100
WITH textbook ...................$900

Geostatistics for Natural Resources Evaluation

WITH textbook ...................$1,200

Geostatistics for Natural Resources Evaluation

     * Student registrants must FAX a copy of their student ID at time of registration.

What Does the Fee Include?
The registration fee includes one copy of a CD-ROM with lecture notes, Power Point slides and sample datasets. The fee also includes a printed copy of the course manual and use of the desktop computers in the training room. All participants will also receive a free one-year license for
SpaceStat. Daily refreshments will be provided and participants are on their own for all other meals.

Optional Course Textbook:
Course participants also have the option to pay the higher registration fee, which includes Dr. Goovaerts’ publication, Geostatistics for Natural Resources Evaluation by Oxford Univ. Press, New-York, 483~p.


Before clicking on the "Register Now!" link below, we recommend that you have payment information on-hand, such as credit card, check number or purchase order number, if we are to invoice your institution.

Registration for this course has closed.

Registration closes Thursday, August 2, 2012. There will be no onsite registration for this course.

Refund Policy: Requests for registration refunds will be honored if written notification of cancellation is received by the Office of Conferences and Institutes no later than July 30, 2012. A $300.00 processing fee will be deducted from all refunds. Sorry, after July 30, 2012, no refunds will be issued.

Special Needs: Participants with special needs can be reasonably accommodated by contacting the Office of Conferences & Institutes at least 10 working days prior to the course. We can be reached by phone at 1-352-392-5930, by fax at 1-352-392-9734, or by calling 1-800-955-8771 (TDD). The TDD number can only be accessed from within the state of Florida.

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Training Site

This course will be held on the University of Florida campus in the new CALS computer laboratory located in Room 3086 of McCarty Hall B in Gainesville, FL.

Getting to the Short Course

The Holiday Inn offers complimentary shuttle service to and from the University of Florida campus. Please note that 24-hour advance notice is required for shuttle reservations. To make shuttle reservations contact the Holiday Inn University Center at 1-352-376-1661. The shuttle is subject to availability.

The Holiday Inn is a convenient 10-15 minute walk from McCarty Hall B. When viewing the searchable campus map, please note that the hotel is located on the corner of West University Avenue and 13th Street (US 441).

Should you choose to drive to the short course, please note that the University of Florida has limited parking available to visitors on-campus. For instructions on where and how to park on campus, please visit the UF Welcome Center parking website at (Please note there are fees associated with parking on-campus.) Any questions regarding parking should be addressed to UF parking (1-352-392-2241).

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Hotel Accommodations

The Holiday Inn University Center
1250 W. University Avenue
Gainesville, FL 32601
PHONE:  (352) 376-1661
FAX:  (352)-336-8717

The hotel is surrounded on all sides by the University of Florida, shops, boutiques, restaurants, and "the Heart of Gainesville." This 6 story "just off campus" landmark is a non-smoking hotel. It is a short walking distance from the hotel to the GIS Laboratory in UF's McCarty Hall B.

The Holiday Inn University Center is offering a special rate of $96 per night (plus state and local taxes), for up to 2 people in a room.
NOTE: Hotel room rate is subject to applicable state and local taxes (currently 11%) in effect at the time of check-out.

Reservation deadline was Friday, July 13, 2012 to receive this special group rate. Please follow instructions under method of reservations.

Contact the hotel directly at (352) 376-1661 and mention "Geostats” to make your reservation. OR
Call 1-888-Holiday and provide the group block code of LAB to qualify for the $96 rate. 

Click on this link: Geostats 2012

All reservations must be accompanied by a first night room deposit or guaranteed with a major credit card. Hotel will not hold any reservations unless secured by one of the above methods. Cancellation of individual reservations within five (5) days of arrival will result in forfeiture of deposit or first night's room and tax.

Check-in is at 4:00pm and check-out is at 11:00am.

To receive tax exempt status, payment must be made in the form of a government issued check or credit card and be accompanied by a Florida sales tax exemption certificate presented at check-in. The form of payment must match the name on the tax exemption certificate; cash, personal checks, and personal credit cards are not acceptable forms of payment for tax-exempt individuals or groups.

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Transportation Information  

Jacksonville Airport Authority

Tampa International

UF Parking Information

Air service is provided through the Gainesville Regional Airport (GNV), just north of the University of Florida. The Holiday Inn University Center provides complimentary area shuttle service to and from the airport and other locations within a 4 mile radius of the hotel. To secure airport shuttle transportation please contact the Holiday Inn University Center at (352) 376-1661 to make a reservation.

Additional air service is available in Jacksonville (JAX), Orlando (MCO) and the Tampa (TPA) areas and is a 2-3 hour drive from the University of Florida.

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Area Information  

Campus Map

Florida Museum
of Natural History

Click for Gainesville, Florida Forecast


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Other Sites of Interest

Learn About GSA's New Logo Home page

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For Further Information  

Course Organizer/Instructor:

Dr. Pierre Goovaerts
PGeostat, LLC
710 Ridgemont Lane
Ann Arbor, MI 48103
PHONE: (734) 668-9900
FAX: (734) 668-7788

Course Organizer:

Dr. Sabine Grunwald
University of Florida/IFAS
Soil and Water Science Department
2169 McCarty Hall A
PO Box 110290
Gainesville, FL 32611-0290
PHONE: (352) 392-1951 ext. 204
FAX: (352) 392-3902

Registration Information:

Shelby Sowder
University of Florida/IFAS
Office of Conferences& Institutes (OCI)
Building 639 Mowry Road
PO Box 110750
Gainesville, FL 32611-0750
PHONE: (352) 392-5930
FAX: (352) 392-9734

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