Spatial semiparametric models improve estimates of species abundance and distribution

By A. Shelton, J. Thorson, Eric J. Ward, B. E. Feist. 2014

147 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/7e2965adf3672dc23da5047b352c39071392d1cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Elise F. Zipkin
2. J. Thorson
3. L. Ries

In Ecology

1. Elise F. Zipkin
2. M. Scheuerell
3. J. Thorson
4. L. Ries

In Nature and Landscape Conservation

1. Elise F. Zipkin
2. M. Scheuerell
3. J. Thorson
4. L. Ries

Citations in the corpus

• Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring (2016, background): “In these cases, a spatio-temporal model can be thought of as being ‘semi-parametric’, where measured habitat variables are used to account for simple habitat relationships and the spatio-temporal component accounts for remaining nonlinear and unmeasured habitat associations (Shelton et al ., 2014).”