Presence-only data, pseudo-absences, and other lies about habitat selection
نویسندگان
چکیده
منابع مشابه
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.
Most methods for modeling species distributions from occurrence records require additional data representing the range of environmental conditions in the modeled region. These data, called background or pseudo-absence data, are usually drawn at random from the entire region, whereas occurrence collection is often spatially biased toward easily accessed areas. Since the spatial bias generally re...
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Pseudo-absences, pseudo-models and pseudo-niches: pitfalls of model selection based on the area under the curve Duncan Golicher a b , Andrew Ford b , Luis Cayuela c & Adrian Newton b a El Colegio de la Frontera Sur, Conservación de la Biodiversidad, San Cristóbal de las Casas, Mexico b Applied Sciences, Bournemouth University, Bournemouth, UK c Área de Biodiversidad y Conservación, Universidad ...
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Leptospirosis is a common zoonosis disease with a high prevalence in the world and is recognized as an important public health drawback in both developing and developed countries owing to epidemics and increasing prevalence. Because of the high diversity of hosts that are capable of carrying the causative agent, this disease has an expansive geographical reach. Various environmental and social ...
متن کاملPresence-only data and the em algorithm.
SUMMARY In ecological modeling of the habitat of a species, it can be prohibitively expensive to determine species absence. Presence-only data consist of a sample of locations with observed presences and a separate group of locations sampled from the full landscape, with unknown presences. We propose an expectation-maximization algorithm to estimate the underlying presence-absence logistic mode...
متن کاملPresence-absence versus presence-only modelling methods for predicting bird habitat suitability
Habitat suitability models can be generated using methods requiring information on species presence or species presence and absence. Knowledge of the predictive performance of such methods becomes a critical issue to establish their optimal scope of application for mapping current species distributions under different constraints. Here, we use breeding bird atlas data in Catalonia as a working ...
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ژورنال
عنوان ژورنال: Ideas in Ecology and Evolution
سال: 2010
ISSN: 1918-3178
DOI: 10.4033/iee.2010.3.6.c