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http://cimat.repositorioinstitucional.mx/jspui/handle/1008/621| Estimation of Spatial Sampling Effort Based on Presence-Only Data Over a Class of Species | |
| MIGUEL NAKAMURA SAVOY | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| Estadística - Ciencias Biológicas | |
| Sampling bias contained in data of biological surve ys is very common. Bias is clearly a function of roads, cities, rivers, or other physical feature s that determine accessibility of collectors, and many data sets of species are presence-only. We set out to estimate spatial sampling bias on a region, based on presence-only data, by explicitly incorporating information on these accessibility factors, and by considering a class o f species that may share a common pattern of search. We also resort to the concept of species ri chness, in order to estimate, indirectly, number of individuals. We construct a probabilistic (multi nomial) model that enables standard likelihood inference procedures to be implemented. Simulation scenarios for exploration of the model and experimenting with the estimation procedure are inc luded. Illustrative examples over a region of Mexico with mammals and butterflies are also discussed. | |
| Centro de Investigación en Matemáticas AC | |
| 21-05-2008 | |
| Reporte | |
| Inglés | |
| Investigadores | |
| ANÁLISIS Y DISEÑO DE EXPERIMENTOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Reportes Técnicos - Probabilidad y Estadística |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| I-08-11.pdf | 1.83 MB | Adobe PDF | Visualizar/Abrir |