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Record Search Query: ServiceParameters>MODELS>DIGITAL ELEVATION/DIGITAL TERRAIN MODELS

Stanford Geostatistical Earth Modeling Software (S-GEMS)
Entry ID: SGEMS

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Summary
Abstract: GEMS, the Geostatistical Earth Modeling Software, is an example of software built from scratch using the GsTL. The source code of GEMS serves as an example of how to use GsTL facilities.

GEMS was designed with two aims in mind. The first one, geared toward the enduser, is to provide a user-friendly software which offers a large range of geostatistics tools: the most common geostatistics ... View entire text
Related URL
Description: Download the Geostatistical Earth Modeling Software.

Description: Geostatistical Earth Modeling Software: User's Manual.
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Service Citation
Originators: Stanford University
Title: Stanford Geostatistical Earth Modeling Software (S-GEMS)
Provider: Stanford University
URL: http://sgems.sourceforge.net/
Service Keywords
DATA ANALYSIS AND VISUALIZATION >STATISTICAL APPLICATIONS Parameter Definition
DATA ANALYSIS AND VISUALIZATION >VISUALIZATION/IMAGE PROCESSING Parameter Definition
MODELS >DIGITAL ELEVATION/DIGITAL TERRAIN MODELS Parameter Definition
MODELS >LAND SURFACE MODELS Parameter Definition

Access Constraints SGEMS is currently available on both Linux and Windows. It should be possible
to compile it on other Unix platforms and Mac OSX.

The code is distributed under the GNU General Public License (GPL).
Ancillary Keywords
Geostatistics
Modeling
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Service Provider
STANFORD-U/SES/SCRF > Stanford Center for Reservoir Forecasting, School of Earth Sciences, Stanford University Supplemental Info
Service Organization URL: http://ekofisk.stanford.edu/SCRFweb/

Service Provider Personnel
Name: STANFORD UNIVERSITY CENTER FOR RESERVOIR FORECASTING
Phone: 1-650-725-2725
Fax: 1-650-725-2099
Contact Address:
Stanford University
City: Stanford
Province or State: CA
Postal Code: 94305
Country: USA
Distribution Media
Distribution_Media: Online
Fees: No fees
Personnel
TYLER B. STEVENS
Role: SERF AUTHOR
Phone: (301) 614-6898
Fax: 301-614-5268
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
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Publications/References
Almeida, A. and Journel, A.: 1994, Joint simulation of multiple variables with
a markovtype coregionalization model, Mathematical Geology 26(5), 565-588.

Chiles, J. and Delfiner, P.: 1999, Geostatistics: Modeling spatial
uncertainty, John Wiley & Sons, New York.

Deutsch, C. and Journel, A.: 1992, GSLIB: Geostatistical Software Library and
User's Guide, ... View entire text
Creation and Review Dates
SERF Creation Date: 2005-04-21
SERF Last Revision Date: 2011-05-20
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