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Meynard, Christine N.; Kaplan, David; Leroy, Boris. |
Liu et al. (2018) used a virtual species approach to test the effects of outliers on species distribution models. In their simulations, they applied a threshold value over the simulated suitabilities to generate the species distributions, suggesting that using a probabilistic simulation approach would have been more complex and yield the same results. Here, we argue that using a probabilistic approach is not necessarily more complex and may significantly change results. Although the threshold approach may be justified under limited circumstances, the probabilistic approach has multiple advantages. First, it is in line with ecological theory, which largely assumes non‐threshold responses. Second, it is more general, as it includes the threshold as a... |
Tipo: Text |
Palavras-chave: ENM; Observation errors; Outliers; Prevalence; Probabilistic approach; Sample bias; Simulations; Species distribution models; Virtual ecology; Virtual species. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00501/61309/64868.pdf |
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Fleming, Christopher M.; Cook, Averil. |
Environmental economists have long used surveys to gather information about people's preferences. This is particularly true in the field of non-market valuation, where techniques such as contingent valuation, choice modelling and the travel cost method invariably employ some form of survey instrument. A recent innovation in survey methodology has been the advent of web-based surveys. While popular in many other disciplines, to date, very few non-market valuation studies have employed the Internet as a survey tool. A primary concern of non-market valuation practitioners is the potential sampling biases associated with web-based surveys and the effect this may have on valuation estimates. In this paper the results of two travel cost surveys, one conducted... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Web-surveys; Sample bias; Travel cost method; Research Methods/ Statistical Methods. |
Ano: 2007 |
URL: http://purl.umn.edu/10358 |
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