Difference: Books20100611104447 (1 vs. 4)

Revision 42010-08-13 - TheresiaFreska

 
META TOPICPARENT name="AI_GEOSTATSBooks"
Book Title: Geostatistics for Natural Resources Evaluation

ISBN: 0195115384

Book Author(s): Pierre Goovaerts

Book Publisher: Oxford University Press

Date of Publication: 1 December 1997

Cost: 90 US$

Pages: 196

Changed:
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Url: http://www.oup-usa.org/isbn/0195115384.html
>
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Url: http://www.oup-usa.org/isbn/0195115384.html
  Description:

This book provides an advanced-level introduction to geostatistics and geostatistical methodology. The discussion includes 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.

CONTENTS

1. Introduction 2. Exploratory Data Analysis 3. The Random Function Model 4. Inference and Modeling 5. Local Estimation: Accounting for a Single Attribute 6. Local Estimation: Accounting for Secondary Information 7. Assessment of Local Uncertainty 8. Assessment of Spatial Uncertainty 9. Summary

Deleted:
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-- TWikiAdminUser - 2010-06-04

Revision 32010-07-23 - TWikiAdminUser

 
META TOPICPARENT name="AI_GEOSTATSBooks"
Changed:
<
<
Book Title: AI_GEOSTATS for Natural Resources Evaluation
>
>
Book Title: Geostatistics for Natural Resources Evaluation
  ISBN: 0195115384

Book Author(s): Pierre Goovaerts

Book Publisher: Oxford University Press

Changed:
<
<
Date of Publication:
>
>
Date of Publication: 1 December 1997
  Cost: 90 US$

Pages: 196

Url: http://www.oup-usa.org/isbn/0195115384.html

Description:

This book provides an advanced-level introduction to geostatistics and geostatistical methodology. The discussion includes 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.

CONTENTS

1. Introduction 2. Exploratory Data Analysis 3. The Random Function Model 4. Inference and Modeling 5. Local Estimation: Accounting for a Single Attribute 6. Local Estimation: Accounting for Secondary Information 7. Assessment of Local Uncertainty 8. Assessment of Spatial Uncertainty 9. Summary

-- TWikiAdminUser - 2010-06-04

Revision 22010-07-23 - TWikiAdminUser

Changed:
<
<
META TOPICPARENT name="GeostatisticsBooks"
Book Title: Geostatistics for Natural Resources Evaluation
>
>
META TOPICPARENT name="AI_GEOSTATSBooks"
Book Title: AI_GEOSTATS for Natural Resources Evaluation
  ISBN: 0195115384

Book Author(s): Pierre Goovaerts

Book Publisher: Oxford University Press

Date of Publication:

Cost: 90 US$

Pages: 196

Url: http://www.oup-usa.org/isbn/0195115384.html

Description:

This book provides an advanced-level introduction to geostatistics and geostatistical methodology. The discussion includes 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.

CONTENTS

1. Introduction 2. Exploratory Data Analysis 3. The Random Function Model 4. Inference and Modeling 5. Local Estimation: Accounting for a Single Attribute 6. Local Estimation: Accounting for Secondary Information 7. Assessment of Local Uncertainty 8. Assessment of Spatial Uncertainty 9. Summary

-- TWikiAdminUser - 2010-06-04

Revision 12010-06-11 - TWikiAdminUser

 
META TOPICPARENT name="GeostatisticsBooks"
Book Title: Geostatistics for Natural Resources Evaluation

ISBN: 0195115384

Book Author(s): Pierre Goovaerts

Book Publisher: Oxford University Press

Date of Publication:

Cost: 90 US$

Pages: 196

Url: http://www.oup-usa.org/isbn/0195115384.html

Description:

This book provides an advanced-level introduction to geostatistics and geostatistical methodology. The discussion includes 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.

CONTENTS

1. Introduction 2. Exploratory Data Analysis 3. The Random Function Model 4. Inference and Modeling 5. Local Estimation: Accounting for a Single Attribute 6. Local Estimation: Accounting for Secondary Information 7. Assessment of Local Uncertainty 8. Assessment of Spatial Uncertainty 9. Summary

-- TWikiAdminUser - 2010-06-04

 
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