Identifying and characterizing extrapolation in multivariate response data

Faced with limitations in data availability, funding, and time constraints, ecologists are often tasked with making predictions beyond the range of their data. In ecological studies, it is not always obvious when and where extrapolation occurs because of the multivariate nature of the data. Previous...

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Bibliographic Details
Published in:	PloS one Vol. 14; no. 12; p. e0225715
Main Authors:	Bartley, Meridith L., Hanks, Ephraim M., Schliep, Erin M., Soranno, Patricia A., Wagner, Tyler
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 05.12.2019 Public Library of Science (PLoS)
Subjects:	Algae Biology and Life Sciences Chlorophyll A - analysis Earth Sciences Ecological monitoring Ecological studies Ecology Ecology and Environmental Sciences Extrapolation Geography Identification methods Lakes Lakes - chemistry Limnology Linear Models Mathematical models Models, Statistical Multivariate Analysis Nitrogen - analysis Nutrients Oceanography Phosphorus - analysis Physical Sciences Predictions Regression analysis Research and Analysis Methods Social Sciences Statistical analysis Statistical models Statistics as Topic Variance Water quality United States > US Missouri Pennsylvania Michigan
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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