Statistical stream temperature modelling with SSN and INLA: an introduction for conservation practitioners
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Statistical stream temperature models can predict the fine-scale spatial distribution of water temperatures and guide species recovery and habitat restoration efforts. However, stream temperature modelling is complicated by spatial autocorrelation arising from non-independence data collected within dendritic networks. We used data from miniature sensors deployed in Canadian Rocky Mountain streams to develop and validate two statistical stream temperature modelling techniques that account for spatial autocorrelation. The first was based on spatial steam network models (SSNs) specifically developed to account for spatial autocorrelation in dendritic stream networks. The second used integrated nested Laplace approximation (INLA) that accounts for spatial autocorrelation but was not designed to address anisotropic stream network data. We evaluated the best-fitted SSN and INLA models using leave-one-out cross validation from the data collected along the stream network. Both modelling techniq..., Please see the README document (\"README_Dataset-AugStreamTempBanff_v0.1.0.md\") and the accompanying peer-reviewed article: Struthers, D.P., Gutowsky, L.F.G., Lucas, T.C.D., Mochnacz, N.J., Carli, C.M., and Taylor, M.K. 2023. Statistical stream temperature modelling with SSN and INLA: an introduction for conservation practitioners. Canadian Journal of Fisheries and Aquatic Science. IN REVIEW., , # Reference Information
## Provenance for this README
* File name: README_Dataset-AugStreamTempBanff_v0.1.0.txt
* Authors: Daniel P. Struthers
* Other contributors: Lee F.G. Gutowsky, Tim C.D. Lucas, Neil J. Mochnacz; Christopher M. Carli, Mark K. Taylor
* Date created: 2024-01-23
* Date modified: 2024-01-23
## Dataset Version and Release History
* Current Version:
* Number: 1.0.0
* Date: 2024-01-23
* Persistent identifier: DOI: 10.5061/dryad.5bk4c
* Summary of changes: n/a
* Embargo Provenance: n/a
* Scope of embargo: n/a
* Embargo period: n/a
## Dataset Attribution and Usage
* Dataset Title: Data for the article \"Statistical stream temperature modelling with SSN and INLA: an introduction for conservation practitioners\"
* Persistent Identifier:
* Dataset Contributors:
* Creators: Daniel P. Struthers, Mark K. Taylor
* Date of Issue: 2024-01-23
* Publisher: Parks Canada, Banff National Park
* License: Use o...
创建时间:
2025-07-26



