The integration of geology with Data Science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many schools, pushing the boundaries of knowledge and enabling new discoveries in geological processes and earth systems. Spatial analysis of geological data can be used to identify patterns and trends in data, to map spatial relationships, and to model spatial processes. R is a consolidated and yet growing statistical programming language with increasing value in spatial analysis often replacing, with advantage, GIS tools. By providing a comprehensive guide for geologists to harness the power of spatial analysis in R, Spatial Analysis in Geology Using serves as a tool in addressing real-world problems, such as natural resource management, environmental conservation, and hazard prediction and mitigation. With a free and open-source software environment that is well-suited for spatial data analysis, it has a wide range of statistical and graphical functions that are easy to learn and use.This book is intended to provide a hands-on introduction to spatial analysis in geology using R. It is aimed at people who have acquired elementary spatial analysis skills often using GIS but who are interested in deepening their skills. The book will also be of interest to graduate students and researchers who are interested in using R for spatial analysis in geology. There are a number of reasons why you might want to use R for spatial analysis. R is a free and open-source software environment, which means that it is available to everyone, with a plethora of statistical and graphical functions. Additionally, R is very easy to learn and use, even if you do not have any prior programming experience.

Spatial Analysis in Geology Using R (Chapman and Hall CRC The R Series) PDF

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