Learning R for Geospatial Analysis

Author:   Michael Dorman
Publisher:   Packt Publishing Limited
ISBN:  

9781783984367


Pages:   364
Publication Date:   02 April 2023
Format:   Undefined
Availability:   In stock   Availability explained
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Learning R for Geospatial Analysis


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Author:   Michael Dorman
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Dimensions:   Width: 7.50cm , Height: 1.90cm , Length: 9.30cm
Weight:   0.626kg
ISBN:  

9781783984367


ISBN 10:   1783984368
Pages:   364
Publication Date:   02 April 2023
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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.

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