| Description |
1 online resource (xxviii, 770 pages) : illustrations (chiefly color), maps |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
"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."--Provided by publisher |
| Note |
Online resource; title from PDF title page (EBSCO, viewed January 30, 2019). |
| Contents |
Front Cover; Spatial Modeling in GIS and R for Earth and Environmental Sciences; Copyright Page; Dedication; Contents; List of Contributors; 1 Spatial Analysis of Extreme Rainfall Values Based on Support Vector Machines Optimized by Genetic Algorithms: The Case of ... ; 1.1 Introduction; 1.2 The Study Area; 1.3 Methodology and Data; 1.4 Results; 1.5 Performance Criteria; 1.6 Discussion; 1.7 Conclusions; References; 2 Remotely Sensed Spatial and Temporal Variations of Vegetation Indices Subjected to Rainfall Amount and Distribution Prope ... ; 2.1 Introduction; 2.2 Materials and Methods |
|
2.2.1 Study Area2.2.2 Data; 2.2.3 Vegetation Indices; 2.2.4 Rainfall Distribution Parameters; 2.3 Results and Discussion; 2.3.1 Vegetation Indices; 2.3.1.1 Normalized Difference Vegetation Index; 2.3.1.2 Spatial Variations of the Normalized Difference Vegetation Index; 2.3.1.3 Green Normalized Difference Vegetation Index; 2.3.1.4 Global Environmental Monitoring Index; 2.3.2 Spatial Normalized Differential Reflectance and Shortwave Crop Reflectance Index; 2.3.3 Rainfall Properties Versus Normalized Difference Vegetation Index, Green Normalized Difference Vegetation Index, Glob ... |
|
2.3.3.1 Prespring Rainfall2.3.3.2 Cumulative Rainfall; 2.3.3.3 Rainfall Distribution; 2.4 Conclusion; References; Further Reading; 3 Numerical Recipes for Landslide Spatial Prediction Using R-INLA: A Step-by-Step Tutorial; 3.1 Introduction; 3.2 Dataset Description and Preparation; 3.2.1 Multiple Occurrence Regional Landslide Event, Messina, 2009; 3.2.2 Computing Slope Units in GIS; 3.3 Point Process Modeling and Estimation Using R-INLA; 3.3.1 Preprocessing; 3.3.2 Fitting a Cox Point Process Model Using R-INLA; 3.4 Results; 3.4.1 Estimated Fixed and Random Effects |
|
3.4.2 Estimated Landslide Intensity at Various Spatial Resolutions3.4.3 Model Checking and Goodness-of-Fit Assessment; 3.4.4 Cross-Validation Study and Out-of-Sample Predictive Skill; 3.5 Discussion; 3.6 Conclusion; References; 4 Geospatial Multicriteria Decision Analysis in Forest Operational Planning; 4.1 Introduction; 4.1.1 Multicriteria Decision Elements; 4.1.1.1 Decision-Maker Analysis; 4.1.1.2 Hierarchical Structure; 4.1.1.3 Decision Elements; Criteria and Subcriteria; Decision Alternatives; 4.1.1.4 Interpretation Findings; 4.1.2 Classification of Spatial Decision Support System |
|
4.1.2.1 Geostatistical Analysis With R packages4.1.2.2 Forest Management Hierarchy; Strategic Planning; Tactical Planning; Operational Planning; 4.1.3 A Perspective of Forest Resource Management in Iran; 4.1.3.1 General Information; 4.1.3.2 The Role of Decision Support Systems in Iranian Forestry; 4.2 Planning Problems; 4.3 Methods; 4.3.1 Multicriteria Decision Analysis; 4.3.2 Geostatistical Analysis; 4.3.3 Spatial Modeling Procedure; 4.3.4 Model Application; 4.4 Results; 4.4.1 The Current Conditions of the Terrain; 4.5 Discussion; 4.6 Conclusions; Acknowledgments; References; Further Reading |
| Subject |
Earth sciences -- Remote sensing.
|
|
Environmental monitoring -- Remote sensing.
|
|
Geographic information systems.
|
|
R (Computer program language)
|
|
Geospatial data -- Computer processing.
|
|
Geographic Information Systems |
|
Sciences de la terre -- Télédétection.
|
|
Environnement -- Surveillance -- Télédétection.
|
|
Systèmes d'information géographique.
|
|
R (Langage de programmation)
|
|
Données géospatiales -- Informatique.
|
|
geographic information systems.
|
|
TECHNOLOGY & ENGINEERING -- Environmental -- General.
|
|
Geospatial data -- Computer processing
|
|
Earth sciences -- Remote sensing
|
|
Environmental monitoring -- Remote sensing
|
|
Geographic information systems
|
|
R (Computer program language)
|
| Genre/Form |
geographic information systems.
|
|
Geographic information systems
|
|
Geographic information systems.
|
|
Systèmes d'information géographique.
|
| Added Author |
Pourghasemi, Hamid Reza, editor.
|
|
Gokceoglu, Candan, editor.
|
| Added Title |
Spatial modeling in geographic information system and R for earth and environmental sciences |
| Other Form: |
Print version: Spatial modeling in GIS and R for earth and environmental sciences. Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, 2019 0128152265 9780128152263 (OCoLC)1084302116 |
| ISBN |
9780128156957 (electronic bk.) |
|
0128156953 (electronic bk.) |
|
9780128152263 (electronic bk.) |
|
0128152265 (electronic bk.) |
| Standard No. |
AU@ 000065050511 |
|
AU@ 000067149024 |
