GIS and Geostatistical Techniques for Groundwater Science. (2019)

• Record Type: Book
• Further Information: Note: Venkatramanan Senapathi, Prasanna Mohan Viswanathan, Sang Yong Chung.
• Other Names: Senapathi, Venkatramanan; Viswanathan, Prasanna Mohan; Chung, Sang Yong
• 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 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 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 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 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
• Publisher Details: Amsterdam : Elsevier
• Publication Date: 2019
• Extent: 1 online resource (392 pages)
• Subjects: 551.490285; Groundwater -- Remote sensing; Hydrogeology -- Statistical methods; SCIENCE -- Earth Sciences -- Geography; SCIENCE -- Earth Sciences -- Geology; Groundwater -- Remote sensing; Hydrogeology -- Statistical methods; Electronic books
• Languages: English
• ISBNs: 9780128154144; 0128154144
• Related ISBNs: 9780128154137
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed June 5, 2019)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.