Full Record Display for the EPA National Library Catalog


Main Title Sampling for Natural Resource Monitoring [electronic resource] /
Author Gruijter, Jaap J.
Other Authors
Author Title of a Work
Bierkens, Marc F. P.
Brus, Dick J.
Knotters, Martin.
Publisher Springer Berlin Heidelberg,
Year Published 2006
Call Number GE1-350
ISBN 9783540331612
Subjects Environmental sciences. ; Analytical biochemistry. ; Ecology. ; Environmental toxicology.
Internet Access
Description Access URL
Collation XIV, 334 p. online resource.
Notes Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes Designing Schemes for Survey and Monitoring -- Modes of Sampling and Statistical Inference -- Basic Design Principles -- Major Design Decisions -- Optimization of Sample Selection -- Sampling in Space -- to Sampling in Space -- Global Quantities in Space -- Local Quantities in Space -- Variograms -- Sampling in Time -- to Sampling in Time -- Global Quantities in Time -- Local Quantities in Time -- Time-Series Models -- Sampling in Space-Time -- to Sampling in Space-Time -- Global Quantities in Space-Time -- Local Quantities in Space-Time. "Canyougivemeareferencetoabookonmonitoring?"isthekindofquestion wearefrequentlyaskedbycolleagueswhoareplanningtodesignamonitoring scheme. Although this is a perfectly reasonable question, we became incre- inglyuneasy,becausewehadtoadmitthat,toourknowledge,abookmeeting these researchers' needs did not exist. More frustration built up as monitoring projects grew in number, diversity and importance in our research envir- ment. Therefore, after much hesitation, we decided to try and write such a bookourselves.Butwhywerewenotsatis?edwiththeexistingliterature?Let us spell this out in some detail, because this explains largely why we wrote this book the way we did. Thereareseveralbooksandchaptersofbooksdealingwiththesubject of monitoring, i.e., sampling in space, time or space-time. These books - cus on applications within a particular discipline, for instance hydrology or vegetation science, and of course treat only the methodology relevant to that discipline. In doing so, they normally use the scienti?c jargon common to that ?eld.However,scientistsworkinginother?eldsmayneeddi?erentmonitoring methods and may also pro?t from a more generic presentation. Furthermore, we disagree with some of the existing texts on statistical grounds. Our cri- cism relates to misconceptions about the di?erences between the design-based and the model-based approach to sampling.
Place Published Berlin, Heidelberg
Corporate Au Added Ent SpringerLink (Online service)
Host Item Entry Springer eBooks
PUB Date Free Form 2006
BIB Level m
Medium computer
Content text
Carrier online resource
Cataloging Source OCLC/T
OCLC Time Stamp 20140925023327
Language eng
OCLC Rec Leader 03718nam a22005415i 45