Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7496479 | Spatial Statistics | 2017 | 17 Pages |
Abstract
The aim of this work is to infer the spatio-temporal dynamism of ecological processes and to fit more robust environmental effects in two-part models. On the one hand we propose different spatio-temporal structures to infer the fundamental spatio-temporal behaviour of the process under study. On the other hand, we propose the use of shared component modelling (SCM) to estimate more robust model effects in related semi-continuous datasets by combining information from occurrence and conditional-to-presence abundance. We use a simulation study to test the application of shared components in two different types of semi-continuous datasets. Lastly, we implement all the proposed model structures in a case study on the recruitment of hake in the western Mediterranean.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Earth and Planetary Sciences (General)
Authors
Iosu Paradinas, David Conesa, Antonio López-QuÃlez, José MarÃa Bellido,