Learning R for Geospatial Analysis (eBook, PDF) - Dorman, Michael
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  • Format: PDF

R is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts.This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results.Learning R for Geospatial Analysis is composed of step-by-step tutorials, starting with the language basics before proceeding to cover the main GIS operations and data types. Visualization of spatial data is vital either during the various analysis steps and/or as the final product, and this book…mehr

Produktbeschreibung
R is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts.This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results.Learning R for Geospatial Analysis is composed of step-by-step tutorials, starting with the language basics before proceeding to cover the main GIS operations and data types. Visualization of spatial data is vital either during the various analysis steps and/or as the final product, and this book shows you how to get the most out of R's visualization capabilities. The book culminates with examples of cutting-edge applications utilizing R's strengths as a statistical and graphical tool.

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Autorenporträt
Michael Dorman is currently a PhD candidate at the Department of Geography and Environmental Development, Ben-Gurion University of the Negev. His research explores the response of planted pine forests to changing climate through remote sensing and dendrochronology. He uses R extensively for time series and spatial statistical analyses and visualization. In spring 2013, he prepared and taught a course named Introduction to Programming for Spatial Data Analysis at the Ben-Gurion University of the Negev, introducing R as an environment for spatial data analysis to undergraduate Geography students. The course material served as a foundation for this book. Michael holds a Master's degree in Life Sciences from the Ben-Gurion University of the Negev and a Bachelor's degree in Plant Sciences in Agriculture from The Hebrew University of Jerusalem. He has authored or coauthored eight papers in scientific literature and actively participated in 18 scientific conferences.