Spatial Modeling in GIS and R for Earth and Environmental Sciences
Published on 21. January 2019
Book
Paperback/Softback
798 pages
978-0-12-815226-3 (ISBN)
Description
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions.
The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling.
The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
College/higher education
Students and researchers in Earth and Environmental Science, especially hazard management, remote sensing, geophysics, cartography, land surveying, geology, natural resources, ecology, and geography
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1630 gr
ISBN-13
978-0-12-815226-3 (9780128152263)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Hamid Reza Pourghasemi | Candan Gokceoglu
Spatial Modeling in GIS and R for Earth and Environmental Sciences
E-Book
01/2019
Elsevier
€165.00
Available for download
Persons
Hamid Reza Pourghasemi is a professor of watershed management engineering in the College of Agriculture, Shiraz University, in Iran. His main research interests are GIS-based spatial modelling using machine learning/data mining techniques in different fields such as landslides, floods, gully erosion, forest fires, land subsidence, species distribution modelling, and groundwater/hydrology. Professor Pourghasemi also works on multi-criteria decision-making methods in natural resources and environmental science. He has published over 230 peer-reviewed papers in high-quality journals and seven edited books for Springer and Elsevier and is an active reviewer for over 90 international journals. He was selected as one of the five young scientists under 40 by The World Academy of Science (TWAS 2019) and was a highly cited researcher in 2019 and 2020 Candan Gokceoglu is Professor and Chairman of the Applied Geology Division at Hacettepe University. He has published more than 175 articles in academic journals and is an Associate Editor of the Elsevier journal Computers and Geosciences.
Content
1. Spatial Analysis of Extreme Rainfall Values Based on Support Vector Machines Optimized by Genetic Algorithms: The Case of Alfeios Basin, Greece
2. Remotely Sensed Spatial and Temporal Variations of Vegetation Indices Subjected to Rainfall Amount and Distribution Properties
3. Numerical Recipes for Landslide Spatial Prediction by Using R-INLA: A Step-By-Step Tutorial
4. An Integrative Approach of Geospatial Multi-Criteria Decision Analysis for Forest Operational Planning
5. Parameters Optimization of KINEROS2 Using Particle Swarm Optimization Algorithm within R Environment for Rainfall-Runoff Simulation
6. Land-Subsidence Spatial Modeling Using Random Forest Data Mining Technique
7. GIS-Based SWARA and its Ensemble by RBF and ICA Data Mining Techniques for Determining Suitability of Existing Schools and Site Selection of New School Buildings
8. Application of SWAT and MCDM Models for Identifying and Ranking the Suitable Sites for Subsurface Dams
9. Habitat Suitability Mapping of Artemisia Aucheri Boiss Based on GLM Model in R
10. Flood-Hazard Assessment Modeling Using Multi-Criteria Analysis and GIS: A Case Study: Ras Gharib Area, Egypt
11. Landslide Susceptibility Survey Using Modelling Methods
12. Prediction of Soil Disturbance Susceptibility Maps of Forest Harvesting Using R and GIS-Based Data Mining Techniques
13. Spatial Modeling of Gully Erosion Using Linear and Quadratic Discriminant Analyses in GIS and R
14. Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas
15. Modelling the Spatial Variability of Forest Fire Susceptibility Using Geographical Information Systems (GIS) and Analytical Hierarchy Process (AHP)
16. Prioritization of Flood Inundation of Maharloo Watershed in Iran Using Morphometric Parameters Analysis and TOPSIS MCDM Model
17. A Robust R-M-R (Remote Sensing - Spatial Modeling - Remote Sensing) Approach for Flood Hazard Assessment
18. Prioritization of Effective Factors on Zataria Multiflora Habitat Suitability and Its Spatial Modeling
19. Prediction of Soil Organic Carbon Using Regression Kriging Model and Remote Sensing Data
20. 3D Reconstruction of Landslides for the Acquisition of Digital Databases and Monitoring Spatio-Temporal Dynamics of Landslides based on GIS Spatial Analysis and UAV Techniques
21. A Comparative Study of Functional Data Analysis and Generalized Linear Model Data Mining Techniques for Landslide Spatial Modelling
22. Regional Groundwater Potential Analysis Using Classification and Regression Trees
23. Comparative Evaluation of Decision-Forest Algorithms in Object-Based Land Use and Land Cover Mapping
24. Statistical Modelling of Landslides: Landslide Susceptibility and Beyond
25. Assessing the Vulnerability of Groundwater to Salinization Using GIS-Based Data Mining Techniques in a Coastal Aquifer
26. A Framework for Multiple Moving Objects Detection in Aerial Videos
27. Modelling Soil Burn Severity Prediction for Planning Measures to Mitigate Post Wildfire Soil Erosion in NW Spain
28. Factors Influencing Regional Scale Wildfire Probability in Iran: An Application of Random Forest and Support Vector Machine
29. Land Use/Land Cover Change Detection and Urban Sprawl Analysis
30. Spatial Modeling of Gully Erosion: A New Ensemble of CART and GLM Data Mining Algorithms
31. Multi-Hazard Exposure Assessment on the Valjevo City Road Network
32. Producing a Spatially Focused Landslide Susceptibility Map Using an Ensemble of Shannon's Entropy and Fractal Dimension (The Ziarat Watershed, Iran)
33. A Conceptual Model on Relationship between Plant Spatial Distribution and Desertification Trend in Rangeland Ecosystems
2. Remotely Sensed Spatial and Temporal Variations of Vegetation Indices Subjected to Rainfall Amount and Distribution Properties
3. Numerical Recipes for Landslide Spatial Prediction by Using R-INLA: A Step-By-Step Tutorial
4. An Integrative Approach of Geospatial Multi-Criteria Decision Analysis for Forest Operational Planning
5. Parameters Optimization of KINEROS2 Using Particle Swarm Optimization Algorithm within R Environment for Rainfall-Runoff Simulation
6. Land-Subsidence Spatial Modeling Using Random Forest Data Mining Technique
7. GIS-Based SWARA and its Ensemble by RBF and ICA Data Mining Techniques for Determining Suitability of Existing Schools and Site Selection of New School Buildings
8. Application of SWAT and MCDM Models for Identifying and Ranking the Suitable Sites for Subsurface Dams
9. Habitat Suitability Mapping of Artemisia Aucheri Boiss Based on GLM Model in R
10. Flood-Hazard Assessment Modeling Using Multi-Criteria Analysis and GIS: A Case Study: Ras Gharib Area, Egypt
11. Landslide Susceptibility Survey Using Modelling Methods
12. Prediction of Soil Disturbance Susceptibility Maps of Forest Harvesting Using R and GIS-Based Data Mining Techniques
13. Spatial Modeling of Gully Erosion Using Linear and Quadratic Discriminant Analyses in GIS and R
14. Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas
15. Modelling the Spatial Variability of Forest Fire Susceptibility Using Geographical Information Systems (GIS) and Analytical Hierarchy Process (AHP)
16. Prioritization of Flood Inundation of Maharloo Watershed in Iran Using Morphometric Parameters Analysis and TOPSIS MCDM Model
17. A Robust R-M-R (Remote Sensing - Spatial Modeling - Remote Sensing) Approach for Flood Hazard Assessment
18. Prioritization of Effective Factors on Zataria Multiflora Habitat Suitability and Its Spatial Modeling
19. Prediction of Soil Organic Carbon Using Regression Kriging Model and Remote Sensing Data
20. 3D Reconstruction of Landslides for the Acquisition of Digital Databases and Monitoring Spatio-Temporal Dynamics of Landslides based on GIS Spatial Analysis and UAV Techniques
21. A Comparative Study of Functional Data Analysis and Generalized Linear Model Data Mining Techniques for Landslide Spatial Modelling
22. Regional Groundwater Potential Analysis Using Classification and Regression Trees
23. Comparative Evaluation of Decision-Forest Algorithms in Object-Based Land Use and Land Cover Mapping
24. Statistical Modelling of Landslides: Landslide Susceptibility and Beyond
25. Assessing the Vulnerability of Groundwater to Salinization Using GIS-Based Data Mining Techniques in a Coastal Aquifer
26. A Framework for Multiple Moving Objects Detection in Aerial Videos
27. Modelling Soil Burn Severity Prediction for Planning Measures to Mitigate Post Wildfire Soil Erosion in NW Spain
28. Factors Influencing Regional Scale Wildfire Probability in Iran: An Application of Random Forest and Support Vector Machine
29. Land Use/Land Cover Change Detection and Urban Sprawl Analysis
30. Spatial Modeling of Gully Erosion: A New Ensemble of CART and GLM Data Mining Algorithms
31. Multi-Hazard Exposure Assessment on the Valjevo City Road Network
32. Producing a Spatially Focused Landslide Susceptibility Map Using an Ensemble of Shannon's Entropy and Fractal Dimension (The Ziarat Watershed, Iran)
33. A Conceptual Model on Relationship between Plant Spatial Distribution and Desertification Trend in Rangeland Ecosystems