Geographic Data Science with R: Visualizing and Analyzing Environmental Change

Author:   Michael C. Wimberly (The University of Oklahoma, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032347714


Pages:   284
Publication Date:   08 May 2023
Format:   Hardback
Availability:   In Print   Availability explained
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Geographic Data Science with R: Visualizing and Analyzing Environmental Change


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Author:   Michael C. Wimberly (The University of Oklahoma, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.675kg
ISBN:  

9781032347714


ISBN 10:   1032347716
Pages:   284
Publication Date:   08 May 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Michael Wimberly is a Professor in the Department of Geography and Environmental Sustainability at the University of Oklahoma. He previously served on the faculties of the University of Georgia and South Dakota State University. He holds a Ph.D. from Oregon State University, an M.S. from the University of Washington, and a B.A. from the University of Virginia. Dr. Wimberly has taught graduate and undergraduate courses in Geographic Information Science (GIS), Spatial Statistics, and Landscape Ecology. He has worked with the R language and software environment throughout his academic career after being introduced to its predecessors, S and S+, in graduate school. His research combines ecological models with data from Earth-observing satellites to address scientific questions and create practical applications in the fields of public health and natural resource management. Areas of study include the effects of land use and climate on vector-borne disease transmission, wildfire and vegetation dynamics in temperate and tropical forest ecosystems, and the causes and consequences of agricultural expansion into native forests and grasslands.

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