Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Science 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. Spatial Modeling in GIS and R for Earth and Environmental Science is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes and is therefore an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear interdisciplinary guide to serve researchers in a variety of fields including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment, and geography Provides an overview, methods, and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

• | Author: Hamid Reza Pourghasemi, Candan Gokceoglu
• | Publisher: Elsevier
• | Publication Date: Jan 21, 2019
• | Number of Pages: 798 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0128152265
• | ISBN-13: 9780128152263