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 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
Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source ...
In: Spatial modeling in GIS and R for earth and environmental sciences, pp 323– Pham BT, Khosravi K (2017) A novel hybrid artificial intelligence approach for flood susceptibility assess- ment. Environ Model Softw 95:229–245 336.
Spatial Modeling of Gully Erosion: A New Ensemble of CART and GLM Data-Mining Algorithms. Spatial Modeling in GIS and R for Earth and Environmental Science. pp. 653–669. Gayen, A., Saha, S., 2017. Application of weights-of-evidence ...
This book offers various soil and water treatment technologies due to increasing global soil and water pollution. In many countries, the management of contaminated land has matured, and it is developing in many others.
In: Spatial Modeling in GIS and R for Earth and Environmental Sciences. Elsevier, Amsterdam, pp. 485–498. Coffer, M.M., Schaeffer, B.A., Darling, J.A., Urquhart, E.A., Salls, W.B., 2020. Quantifying national and regional cyanobacterial ...
Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source ...
Draper and Guttman ( 1980 ) have referred to ( 2.3 ) as the deterministic case for variation in y and ( 2.4 ) as the ... then these effects may be included by assuming E ( ee " ) = 02V ( 2.5 ) where V is a non - diagonal matrix ...
The book also includes practicable measures to minimize the environmental consequences of instream mining in respect to optimum sand mining.
This volume constitutes the refereed proceedings of the 4th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2021, held in Msida, Malta, in December 2021.
Modeling water quality in tanks and reservoirs: USEPA conducted several studies to assess the impacts of water storage tanks on the water quality supplied to WDNs. ... water age and water mixing in storage tanks were observed. The model ...