Pourghasemi H.R., Gokceoglu C. (2019). Spatial modeling in GIS and R for earth and environmental sciences. Amsterdam (Pays-Bas) : Elsevier. 770 p.
https://doi.org/10.1016/C2017-0-02950-6
https://doi.org/10.1016/C2017-0-02950-6
Titre : | Spatial modeling in GIS and R for earth and environmental sciences |
Auteurs : | H.R. Pourghasemi ; C. Gokceoglu |
Type de document : | E-Book |
Editeur : | Amsterdam [Pays-Bas] : Elsevier, 2019 |
ISBN/ISSN/EAN : | 978-0-12-815226-3 |
Format : | 770 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 12 - EDUCATION. FORMATION. INFORMATION. GESTION DES SAVOIRS ; 12.5 - Formation Continue, Professionnelle. Gestion des CursusThésaurus IAMM LOGICIEL ; DONNEE STATISTIQUE ; ANALYSE DE DONNEES ; TRAITEMENT DES DONNEES ; MODELE ; ANALYSE SPATIALE ; CARTOGRAPHIE ; SYSTEME D'INFORMATION GEOGRAPHIQUE ; SCIENCE ; ENVIRONNEMENT ; TERRE |
Mots-clés: | MODELE SPATIALE |
Résumé : | 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. |
Note de contenu : |
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 Using R-INLA: A Step-by-Step Tutorial 4 - Geospatial Multicriteria Decision Analysis in Forest Operational Planning 5 - Parameter Optimization of KINEROS2 Using Particle Swarm Optimization Algorithm Within R Environment for RainfallRunoff Simulation 6 - Land-Subsidence Spatial Modeling Using the 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 Suitable Sites for Subsurface Dams 9 - Habitat Suitability Mapping of Artemisia aucheri Boiss Based on the GLM Model in R 10 - Flood-Hazard Assessment Modeling Using Multicriteria Analysis and GIS: A Case StudyRas Gharib Area, Egypt 11 - Landslide Susceptibility Survey Using Modeling 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 - Modeling the Spatial Variability of Forest Fire Susceptibility Using Geographical Information Systems and the Analytical Hierarchy Process 16 - Prioritization of Flood Inundation of Maharloo Watershed in Iran Using Morphometric Parameters Analysis and TOPSIS MCDM Model 17 - A Robust Remote SensingSpatial ModelingRemote Sensing (R-M-R) 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 and its Mapping Using Regression Analyses and Remote Sensing Data in GIS and R 20 - 3D Reconstruction of Landslides for the Acquisition of Digital Databases and Monitoring Spatiotemporal 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 Modeling 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 Modeling 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 - Modeling 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 - Multihazard Exposure Assessment on the Valjevo City Road Network 32 - Producing a Spatially Focused Landslide Susceptibility Map Using an Ensemble of Shannons Entropy and Fractal Dimension (Case Study: Ziarat Watershed, Iran) 33 - A Conceptual Model of the Relationship Between Plant Distribution and Desertification Trend in Rangeland Ecosystems Using R Software |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/C2017-0-02950-6 |