Cargando…

Spatial modeling in GIS and R for earth and environmental sciences /

"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 li...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Pourghasemi, Hamid Reza (Editor ), Gokceoglu, Candan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, [2019]
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_on1083205446
003 OCoLC
005 20231120010337.0
006 m o d
007 cr cnu|||unuuu
008 190123s2019 ne ab ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d YDX  |d OCLCF  |d WAU  |d ORU  |d EBLCP  |d OCLCQ  |d OPELS  |d OCLCQ  |d OPELS  |d S2H  |d OCLCO  |d OCL  |d OCLCQ  |d OCLCO  |d OCL  |d OCLCQ  |d OCLCO 
019 |a 1083357236 
020 |a 9780128156957  |q (electronic bk.) 
020 |a 0128156953  |q (electronic bk.) 
020 |a 9780128152263  |q (electronic bk.) 
020 |a 0128152265  |q (electronic bk.) 
035 |a (OCoLC)1083205446  |z (OCoLC)1083357236 
050 4 |a GE45.R44 
072 7 |a TEC  |x 010000  |2 bisacsh 
082 0 4 |a 628.028/7  |2 23 
245 0 0 |a Spatial modeling in GIS and R for earth and environmental sciences /  |c edited by Hamid Reza Pourghasemi, Candan Goceoglu. 
246 3 |a Spatial modeling in geographic information system and R for earth and environmental sciences 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c [2019] 
300 |a 1 online resource (xxviii, 770 pages) :  |b illustrations (chiefly color), maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a "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 
588 |a Online resource; title from PDF title page (EBSCO, viewed January 30, 2019). 
505 0 |a 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 
505 8 |a 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 ... 
505 8 |a 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 
505 8 |a 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 
505 8 |a 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 
650 0 |a Earth sciences  |x Remote sensing. 
650 0 |a Environmental monitoring  |x Remote sensing. 
650 0 |a Geographic information systems. 
650 0 |a R (Computer program language) 
650 0 |a Geospatial data  |x Computer processing. 
650 2 |a Geographic Information Systems  |0 (DNLM)D040362 
650 6 |a Sciences de la terre  |x T�el�ed�etection.  |0 (CaQQLa)201-0118208 
650 6 |a Environnement  |0 (CaQQLa)201-0019669  |x Surveillance  |0 (CaQQLa)201-0019669  |x T�el�ed�etection.  |0 (CaQQLa)201-0380277 
650 6 |a Syst�emes d'information g�eographique.  |0 (CaQQLa)201-0213319 
650 6 |a R (Langage de programmation)  |0 (CaQQLa)201-0368319 
650 6 |a Donn�ees g�eospatiales  |x Informatique.  |0 (CaQQLa)000320299 
650 7 |a geographic information systems.  |2 aat  |0 (CStmoGRI)aat300263887 
650 7 |a TECHNOLOGY & ENGINEERING  |x Environmental  |x General.  |2 bisacsh 
650 7 |a Geospatial data  |x Computer processing  |2 fast  |0 (OCoLC)fst02007340 
650 7 |a Earth sciences  |x Remote sensing  |2 fast  |0 (OCoLC)fst00900758 
650 7 |a Environmental monitoring  |x Remote sensing  |2 fast  |0 (OCoLC)fst00913234 
650 7 |a Geographic information systems  |2 fast  |0 (OCoLC)fst00940423 
650 7 |a R (Computer program language)  |2 fast  |0 (OCoLC)fst01086207 
655 7 |a geographic information systems.  |2 aat  |0 (CStmoGRI)aatgf300263887 
655 7 |a Geographic information systems  |2 fast  |0 (OCoLC)fst01752691 
655 7 |a Geographic information systems.  |2 lcgft 
655 7 |a Syst�emes d'information g�eographique.  |2 rvmgf  |0 (CaQQLa)RVMGF-000001375 
700 1 |a Pourghasemi, Hamid Reza,  |e editor. 
700 1 |a Gokceoglu, Candan,  |e editor. 
776 0 8 |i Print version:  |t Spatial modeling in GIS and R for earth and environmental sciences.  |d Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, 2019  |z 0128152265  |z 9780128152263  |w (OCoLC)1084302116 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128152263  |z Texto completo