| Description |
1 online resource (392 pages) |
| Contents |
Front Cover; GIS and Geostatistical Techniques for Groundwater Science; Copyright; Contents; Contributors; Preface; Acknowledgments; Section A: Introduction and History of GIS and Geostatistical Techniques in Groundwater Science; Chapter 1: Fundamentals of GIS; 1.1. Introduction; 1.2. Definition of GIS; 1.3. What GIS Can Do; 1.4. Geographic Referencing Concepts; 1.5. Geographic Coordinate System; 1.6. Projected Coordinate System; 1.7. Adopted From ESRI; 1.8. Map Scale; 1.9. Creating a GIS; 1.10. GIS Data Input; 1.10.1. Vector Data Capture; 1.10.1.1. Map Projections and Scale |
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1.10.2. Raster Data Capture1.10.3. Attribute Data; 1.11. Data Storage and Retrieval; 1.12. Geographic Analysis; 1.13. Steps in Building a GIS; 1.14. Summary; References; Chapter 2: Merits and Demerits of GIS and Geostatistical Techniques; 2.1. Introduction; 2.2. Basic Principles of Geostatistical Methods; 2.3. Merits and Demerits of GIS; 2.3.1. Disadvantages of Geographic Information Systems; 2.3.2. Advantages of Geostatistics Techniques; 2.3.3. Disadvantages of Geostatistics techniques; 2.4. Summary; References; Chapter 3: An Introduction to Various Spatial Analysis Techniques |
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3.1. Introduction3.2. Types of Spatial Analysis; 3.2.1. Inverse Distance Weighting; 3.2.2. Natural Neighbor Inverse Distance Weighted; 3.2.3. Spline; 3.2.4. Spline Interpolations; 3.2.5. Kriging; 3.3. Kriging Types; 3.3.1. Ordinary Kriging; 3.3.2. Simple Kriging; 3.3.3. Universal Kriging; 3.3.4. Indicator Kriging; 3.3.5. Probability Kriging; 3.3.6. Disjunctive Kriging; 3.3.7. Topo Grid/Topo to Raster; 3.4. Summary; References; Section B: Types of Geospatial and Geostatistical Techniques |
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Chapter 4: Supplement of Missing Data in Groundwater-Level Variations of Peak Type Using Geostatistical Methods4.1. Introduction; 4.2. Groundwater Level Data With a Peak Type Variation; 4.3. Geostatistical Methods; 4.3.1. Kriging; 4.3.2. Variogram; 4.3.3. Conditional Simulation; 4.4. Comparison of Interpolation Capability; 4.4.1. Statistical Validation Test; 4.4.2. Interpolation of Artificial Missing Data; 4.5. Interpolation of Actual Missing Data; 4.5.1. Application of Kriging; 4.5.2. Application of Conditional Simulation; 4.5.3. Cross Validation Test; 4.6. Conclusions; References |
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Chapter 5: A Comparative Study of Spatial Interpolation Technique (IDW and Kriging) for Determining Groundwater Quality5.1. Introduction; 5.1.1. Nongeostatistical Interpolation Methods; 5.1.2. Geostatistical Interpolation Methods; 5.1.2.1. Semivariogram; 5.1.2.2. Kriging; 5.1.3. Use of Geostatistics for the Study of Groundwater Quality; 5.2. Geographic Setup and Hydrogeological Characteristics; 5.3. Data and Methods Used; 5.3.1. Exploring the Dataset; 5.3.2. Interpolation Methods; 5.3.3. Semivariogram Modeling; 5.3.4. Cross-Validation; 5.3.5. Prediction Map; 5.4. Results and Discussion |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed June 5, 2019) |
| Subject |
Groundwater -- Remote sensing
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Hydrogeology -- Statistical methods
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SCIENCE -- Earth Sciences -- Geography.
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SCIENCE -- Earth Sciences -- Geology.
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Groundwater -- Remote sensing
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Hydrogeology -- Statistical methods
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| Form |
Electronic book
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| Author |
Viswanathan, Prasanna Mohan
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Chung, Sang Yong
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| ISBN |
9780128154144 |
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0128154144 |
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