Goovaerts, Pierre  <br/><br/>
Geostatistics for natural resources evaluation. 

 - United States of America   Oxford University Press  1997 
 - xiv, 483 páginas;   table, figures, grafico;   24 cm x 16.5 cm  
 - Applied geostatistics .
<br/><br/>1. Introduction<br/>2. Exploratory Data Analysis<br/>3. The Random Function Model<br/>4. Inference and Modeling<br/>5. Local Estimation: Accounting for a Single Attribute<br/>6. Local Estimation: Accounting for Secondary Information<br/>7. Assessment of Local Uncertainty<br/>8. Assessment of Spatial Uncertainty<br/>9. Summary 
<br/><br/> This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences. 
<br/><br/><label>ISBN: </label>9780195115383  
<br/><br/><label>Subjects--Topical Terms: </label><br/>Univariate <br/>Location <br/>Measures <br/>Categorical <br/>Spatial <br/>Random variable <br/>Optimal<br/>Estimation <br/>Simulation <br/>Anisotropic <br/>Indicator 
<br/><br/><label>Dewey Class. No.: </label>310  / G659