ECU Libraries Catalog

Spatial modeling in GIS and R for earth and environmental sciences / edited by Hamid Reza Pourghasemi, Candan Gokceoglu.

Other author/creatorPourghasemi, Hamid Reza.
Other author/creatorGokceoglu, Candan.
Format Electronic and Book
Publication InfoAmsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, [2019]
Descriptionxxviii, 770 pages : illustrations (chiefly color), maps ; 24 cm
Supplemental Content Full text available from eBook - Earth and Planetary Sciences 2019
Subject(s)
Variant title Spatial modeling in geographic information system and R for earth and environmental sciences
Contents Spatial Analysis of Extreme Rainfall Values Based on Support Vector Machines Optimized by Genetic Algorithms: The Case of Alfeios Basin, Greece / Paraskevas Tsangaratos, Ioanna Ilia, and Ioannis Matiatos -- Remotely Sensed Spatial and Temporal Variations of Vegetation Indices Subjected to Rainfall Amount and Distribution Properties / Mohammad Hossein Shahrokhnia and Seyed Hamid Ahmadi -- Numerical Recipes for Landslide Spatial Prediction by Using R-INLA: A Step-By-Step Tutorial / Luigi Lombardo, Thomas Opitz, and Raphaël Huser -- Geospatial Multicriteria Decision Analysis in Forest Operational Planning / Sattar Ezzati -- Parameter Optimization of KINEROS2 Using Particle Swarm Optimization Algorithm within R Environment for Rainfall-Runoff Simulation / Hadi Memarian, Mohsen Pourreza Bilondi, and Zinat Komeh -- Land-Subsidence Spatial Modeling Using the Random Forest Data-Mining Technique / Hamid Reza Pourghasemi and Mohsen Mohseni Saravi -- 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 / Mahdi Panahi [and 6 others] -- Application of SWAT and MCDM Models for Identifying and Ranking Suitable Sites for Subsurface Dams / Javad Chezgi -- Habitat Suitability Mapping of Artemisia aucheri Boiss Based on the GLM Model in R / Gholamabbas Ghanbarian [and 3 others] -- Flood-Hazard Assessment Modeling Using Multicriteria Analysis and GIS: A Case Study: Ras Gharib Area, Egypt / Ahmed M. Youssef and Mahmoud A. Hegab -- Landslide Susceptibility Survey Using Modeling Methods / Hamidreza Moradi, Mohammad Taqhi Avand, and Saeid Janizadeh -- Prediction of Soil Disturbance Susceptibility Maps of Forest Harvesting Using R and GIS-Based Data Mining Techniques / Saeid Shabani -- Spatial Modeling of Gully Erosion Using Linear and Quadratic Discriminant Analyses in GIS and R / Alireza Arabameri and Hamid Reza Pourghasemi --
Contents Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas / Fatemeh Falah [and 5 others] -- Modeling the Spatial Variability of Forest Fire Susceptibility Using Geographical Information Systems and the Analytical Hierarchy Process / Gigović Ljubomir [and 3 others] -- Prioritization of Flood Inundation of Maharloo Watershed in Iran Using Morphometric Parameters Analysis and TOPSIS MCDM Model / Mahdis Amiri [and 5 others] -- A Robust Remote Sensing-Spatial Modeling-Remote Sensing (R-M-R) Approach for Flood Hazard Assessment / Stathopoulos Nikolaos [and 6 others] -- Prioritization of Effective Factors on Zataria Multiflora Habitat Suitability and Its Spatial Modeling / Mohsen Edalat [and 3 others] -- Prediction of Soil Organic Carbon and its Mapping Using Regression Analyses and Remote Sensing Data in GIS and R / Gouri Sankar Bhunia [and 3 others] -- 3D Reconstruction of Landslides for the Acquisition of Digital Databases and Monitoring Spatiotemporal Dynamics of Landslides based on GIS Spatial Analysis and UAV Techniques / Ştefan Bilaşco [and 5 others] -- A Comparative Study of Functional Data Analysis and Generalized Linear Model Data-Mining Techniques for Landslide Spatial Modeling / Wei Chen [and 3 others] -- Regional Groundwater Potential Analysis Using Classification and Regression Trees / Bahram Choubin [and 5 others] -- Comparative Evaluation of Decision-Forest Algorithms in Object-Based Land Use and Land Cover Mapping / Ismail Colkesen and Taskin Kavzoglu -- Statistical Modelling of Landslides: Landslide Susceptibility and Beyond / Stefan Steger and Christian Kofler -- Assessing the Vulnerability of Groundwater to Salinization Using GIS-Based Data-Mining Techniques in a Coastal Aquifer / Alireza Motevalli [and 3 others] --
Contents A Framework for Multiple Moving Objects Detection in Aerial Videos / Bahareh Kalantar [and 6 others] -- Modeling Soil Burn Severity Prediction for Planning Measures to Mitigate Post Wildfire Soil Erosion in NW Spain / José M. Fernández-Alonso [and 3 others] -- Factors Influencing Regional Scale Wildfire Probability in Iran: An Application of Random Forest and Support Vector Machine / Abolfazl Jaafari and Hamid Reza Pourghasemi -- Land Use/Land Cover Change Detection and Urban Sprawl Analysis / Cláudia M. Viana [and 3 others] -- Spatial Modeling of Gully Erosion: A New Ensemble of CART and GLM Data Mining Algorithms / Amiya Gayen and Hamid Reza Pourghasemi -- Multi-Hazard Exposure Assessment on the Valjevo City Road Network / Marjanović Miloš [and 5 others] -- Producing a Spatially Focused Landslide Susceptibility Map Using an Ensemble of Shannon's Entropy and Fractal Dimension (Case Study: The Ziarat Watershed, Iran) / Aiding Kornejady and Hamid Reza Pourghasemi -- A Conceptual Model of the Relationship between Plant Distribution and Desertification Trend in Rangeland Ecosystems Using R Software / Hamid Reza Pourghasemi, Narges Kariminejad, and Mohsen Hosseinalizadeh.
Abstract "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."--Publisher's website.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Issued in other formebook version: Spatial modeling in GIS and R for earth and environmental sciences. Amsterdam : Elsevier, 2019 9780128156957
Genre/formElectronic books.
LCCN 2020277224
ISBN9780128152263 paperback
ISBN0128152265 paperback
ISBNelectronic publication

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