Spatial Data Analysis in Ecology and Agriculture Using R

Author:   Richard E. Plant
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9780367732325


Pages:   684
Publication Date:   18 December 2020
Format:   Paperback
Availability:   In Print   Availability explained
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Spatial Data Analysis in Ecology and Agriculture Using R


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Author:   Richard E. Plant
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Edition:   2nd edition
Weight:   1.351kg
ISBN:  

9780367732325


ISBN 10:   0367732327
Pages:   684
Publication Date:   18 December 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
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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Richard E. Plant received his Ph.D. in Theoretical and Applied Mechanics from Cornell University in 1975. After receiving his Ph.D., he joined the Mathematics Department at the University of California, Davis. Recognizing the opportunity to work with researchers at one of the world's leading agricultural institutions, he transferred his research effort from nerve membrane modeling to problems in agriculture. He has received awards from the Division of Agriculture and Natural Resources of the University of California and hte American Society of Agronomy for his work in the application of academic research methods to the resolution of important agricultural problems. He was awarded a Fulbright Fellowship to carry out research in rice production in Uruguay, some of which serves as one of the case studies in his book. He is a Professor Emeritus of Biological and Agricultural Engineering and Plant Sciences at the University of California, Davis. His research interests include the application of systems analysis, geographic information systems, and statistical models to landscape level problems in crop production and resource management.

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