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Learning R for Geospatial Analysis Cover

Learning R for Geospatial Analysis

Leverage the power of R to elegantly manage crucial geospatial analysis tasks

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|Sep 2025
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Authors

Dorman Michael :

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.

PDF ISBN: 978-1-78398-437-4
Publisher: Packt Publishing Limited
Copyright owner: © 2014 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 364