ASTM D5922-96(2004)
(Guide)Standard Guide for Analysis of Spatial Variation in Geostatistical Site Investigations
Standard Guide for Analysis of Spatial Variation in Geostatistical Site Investigations
SIGNIFICANCE AND USE
This guide is intended to encourage consistency in the analysis, interpretation, and modeling of spatial variation.
This guide should be used in conjunction with Guides D 5549, D 5923, and D 5924.
SCOPE
1.1 This guide covers recommendations for analyzing, interpreting, and modeling spatial variation of regionalized variables in geotechnical and environmental site investigations.
1.2 The measures of spatial variation discussed in this guide include variograms and correlograms; these are fully described in (1), (2), (3), and (4).
1.3 This guide is intended to assist those who are already familiar with the geostatistical tools discussed herein and does not provide introductory information on the analysis, interpretation, and modeling of spatial variation.
1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.
General Information
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Standards Content (Sample)
NOTICE: This standard has either been superseded and replaced by a new version or withdrawn.
Contact ASTM International (www.astm.org) for the latest information
Designation:D5922–96 (Reapproved 2004)
Standard Guide for
Analysis of Spatial Variation in Geostatistical Site
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Investigations
This standard is issued under the fixed designation D5922; the number immediately following the designation indicates the year of
original adoption or, in the case of revision, the year of last revision. A number in parentheses indicates the year of last reapproval. A
superscript epsilon (´) indicates an editorial change since the last revision or reapproval.
INTRODUCTION
Geostatistics is a framework for data analysis, estimation, and simulation in media whose
measurable attributes show erratic spatial variability yet also possess a degree of spatial continuity
imparted by the natural and anthropogenic processes operating therein. The soil, rock, and contained
fluids encountered in environmental or geotechnical site investigations present such features, and their
sampled attributes are therefore amenable to geostatistical treatment.This guide is concerned with the
analysis, interpretation, and modeling of spatial variation. The purpose of this guide is to offer
guidance based on a consensus of views but not to establish a standard practice to follow in all cases.
1. Scope unique aspects. The word “Standard” in the title of this
document means only that the document has been approved
1.1 This guide covers recommendations for analyzing, in-
through the ASTM consensus process.
terpreting, and modeling spatial variation of regionalized
variablesingeotechnicalandenvironmentalsiteinvestigations.
2. Referenced Documents
1.2 The measures of spatial variation discussed in this guide
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2.1 ASTM Standards:
include variograms and correlograms; these are fully described
2 D653 Terminology Relating to Soil, Rock, and Contained
in Refs. (1-4).
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Fluids
1.3 This guide is intended to assist those who are already
D5549 Guide for The Contents of Geostatistical Site Inves-
familiar with the geostatistical tools discussed herein and does
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tigation Report
not provide introductory information on the analysis, interpre-
D5923 Guide for Selection of Kriging Methods in Geo-
tation, and modeling of spatial variation.
statistical Site Investigations
1.4 This standard does not purport to address all of the
D5924 Guide for Selection of Simulation Approaches in
safety concerns, if any, associated with its use. It is the
Geostatistical Site Investigations
responsibility of the user of this standard to establish appro-
priate safety and health practices and determine the applica-
3. Terminology
bility of regulatory limitations prior to use.
3.1 Definitions of Terms Specific to This Standard:
1.5 This guide offers an organized collection of information
3.1.1 anisotropy, n—in geostatistics, a property of the
or a series of options and does not recommend a specific
variogram or covariance stating that different spatial variation
course of action. This document cannot replace education or
structures are observed in different directions.
experience and should be used in conjunction with professional
3.1.2 correlogram, n—a measure of spatial variation ex-
judgment. Not all aspects of this guide may be applicable in all
pressing the coefficient of correlation between two variables as
circumstances. This ASTM standard is not intended to repre-
a function of the lag separating their locations.
sent or replace the standard of care by which the adequacy of
3.1.3 drift, n—in geostatistics, a systematic spatial variation
a given professional service must be judged, nor should this
of the local mean of a variable, usually expressed as a
document be applied without consideration of a project’s many
polynomial function of location coordinates.
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This guide is under thejurisdictionofASTMCommittee D18 onSoilandRock
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and is the direct responsibility of Subcommittee D18.01 on Surface and Subsurface For referenced ASTM standards, visit the ASTM website, www.astm.org, or
Characterization. contact ASTM Customer Service at service@astm.org. For Annual Book of ASTM
Current edition approved July 1, 2004. Published August 2004. Originally Standards volume information, refer to the standard’s Document Summary page on
´1
approved in 1996. Last previous edition approved in 1996 as D5922 - 96 . DOI: the ASTM website.
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10.1520/D5922-96R04. Withdrawn.
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The boldface numbers in parentheses refer to a list of references at the end of Withdrawn. The last approved version of this historical standard is referenced
the text. on www.astm.org.
Copyright © ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.
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D5922–96 (2004)
3.1.4 estimation, n—a procedure by which the value of a and their univariate statistics; qualitative information includes
variableatanunsampledlocationispredictedus
...
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