Main Title |
Introduction to geostatistics : applications to hydrogeology / |
Author |
Kitanidis, P. K.
|
Publisher |
Cambridge University Press, |
Year Published |
1997 |
OCLC Number |
34990173 |
ISBN |
0521583128 (hc); 9780521583121 (hc); 0521587476 (pbk.); 9780521587471 (pbk.) |
Subjects |
Hydrogeology--Statistical methods ;
Hidrogeologia ;
Hydrogeologie ;
Statistische methoden ;
Data-analyse ;
Hydrogâeologie--Mâethodes statistiques
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBM |
GB1001.72.S7K57 1997 |
|
AWBERC Library/Cincinnati,OH |
08/01/2011 |
EMBM |
GB1001.72.S7K57 1997 |
|
NRMRL/GWERD Library/Ada,OK |
07/16/1999 |
|
Collation |
xx, 249 p. : ill. ; 24 cm. |
Notes |
Includes bibliographical references (p. 239-246) and index. |
Contents Notes |
1. Introduction -- 2. Exploratory data analysis -- 3. Intrinsic model -- 4. Variogram fitting -- 5. Anisotropy -- 6. Variable mean -- 7. More linear estimation -- 8. Multiple variables -- 9. Estimation and GW models -- A. Probability theory review -- B. Lagrange multipliers -- C. Generation of realizations. Engineers and Applied Geophysicists Routinely encounter interpolation and estimation problems when analyzing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a synthesis of classic and geostatistical methods, with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering and also for self-study. |