作者: Kristin M. Broms , Brian M. Brost , Trevor J. Hefley , Mevin B. Hooten , Mevin B. Hooten
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摘要: Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many of statistical methods used to account for can be viewed as regression models that include basis functions. Understanding concept functions enables ecologists modify commonly autocorrelation, which improve inference predictive accuracy. properties is essential evaluating fit or time-series models, detecting a hidden form multicollinearity, analyzing large sets. We present important concepts related illustrate several tools techniques use when in data.