Spatial Data Analysis in Ecology and Agriculture Using R (PDF)
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The book provides instruction on using R programming language to analyze spatial data from research in ecology, agriculture, and environmental science. It guides readers in analyzing data sets, setting research objectives, designing sampling plans, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions.
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.
- Autor: Richard E. Plant
- 2018, 2. Auflage, 684 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1351189905
- ISBN-13: 9781351189903
- Erscheinungsdatum: 07.12.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 13 MB
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