Spatial Modeling in Gis and R for Earth and Environmental Sciences | 被動收入的投資秘訣 - 2024年9月

Spatial Modeling in Gis and R for Earth and Environmental Sciences

作者:Pourghasemi, Hamid Reza (EDT)/ Gokceoglu, Candan (EDT)
出版社:
出版日期:2019年01月21日
ISBN:9780128152263
語言:繁體中文
售價:9250元

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.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 geographyProvides an overview, methods and case studies for each applicationExpresses concepts and methods at an appropriate level for both students and new users to learn by example


Hamid Reza Pourghasemi is an Assistant Professor of Watershed Management Engineering in the College of Agriculture, Shiraz University, Iran. He has a BSc in Watershed Management Engineering of the University of Gorgan (2004), Iran, an MSc in Watershed Management Engineering, from Tarbiat Modares University, Iran (2008), and a PhD in Watershed Management Engineering from the same University (Feb 2014). His main research interests are GIS-based spatial modelling using machine learning/data mining techniques in different fields such landslide, flood, gully erosion, forest fire, land subsidence, species distribution modelling, and groundwater/hydrology. Also, Hamid Reza works on Multi-Criteria Decision Making methods in Natural Resources and Environmental. He has published more of 80 peer reviewed papers in high-quality journals, and chapters in several reference books.


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