2021
DOI: 10.1371/journal.pone.0245062
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Spatial and temporal autocorrelations affect Taylor's law for US county populations: Descriptive and predictive models

Abstract: Understanding the spatial and temporal distributions and fluctuations of living populations is a central goal in ecology and demography. A scaling pattern called Taylor's law has been used to quantify the distributions of populations. Taylor's law asserts a linear relationship between the logarithm of the mean and the logarithm of the variance of population size. Here, extending previous work, we use generalized least-squares models to describe three types of Taylor's law. These models incorporate the temporal… Show more

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Cited by 10 publications
(8 citation statements)
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“…The mechanism through which TPL comes out is still deliberately talked over or argued in the literature (Campos-Herrera et al, 2013;Xiao et al, 2015;Xu and Cohen, 2021). On the other hand, TPL usage is confirmed to be compatible with orders of many organisms and applicable to their distribution patterns in nature (Taylor, 2019).…”
Section: Using Basic Mathematical Models In Nematologymentioning
confidence: 99%
“…The mechanism through which TPL comes out is still deliberately talked over or argued in the literature (Campos-Herrera et al, 2013;Xiao et al, 2015;Xu and Cohen, 2021). On the other hand, TPL usage is confirmed to be compatible with orders of many organisms and applicable to their distribution patterns in nature (Taylor, 2019).…”
Section: Using Basic Mathematical Models In Nematologymentioning
confidence: 99%
“…In China, Taylor's goal model is the most widely used and influential evaluation model and still dominates today, i.e., evaluating course based on the ultimate degree of achievement of classroom goals. However, an evaluation model limited to objectives alone no longer meets the needs of process-oriented and competency-based course evaluation (Xu & Cohen, 2021;Berz, 1997). The CIPP model was proposed by Stufflebeam and his colleagues in 1983 and includes four evaluation stages: context evaluation, input evaluation, process evaluation, and product evaluation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These data have demonstrated, under varying socioeconomic contexts, that territorial statistics provide a truly refined and complete key to the interpretation of mechanisms of socioeconomic development (Rozenfeld et al 2008). In this regard, social sciences have increasingly benefited from big data and non-linear approaches to complexity based on the continuous development of new econometric techniques (Xu and Cohen 2021).…”
Section: Introductionmentioning
confidence: 99%