Software | References | Example Data | Other Links

Software

License

The SSN and STARS package are free software; you can redistribute and/or modify them under the terms of the GNU General Public License version 2 as published by the Free Software Foundation.  Also, these tools are distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY.

Also, these tools are constantly being updated and improved. Please check to ensure that you have the most recent version before undertaking your final analyses.

SSN

Downloads

SSN Package – Current Release

Online Documentation

SSN 1.1 – A vignette

 

Reference Manual

 

Citation

Ver Hoef J.M. and Peterson E.E. (2010) A moving average approach to spatial statistical models of stream networks. The journal of the American Statistical Association, 489: 6-18.

STARS

Downloads

STARS 1.0.2

 

Example datasets for STARS Tutorial

Online Documentation

STARS: Spatial tools for the analysis of river systems – A tutorial

 

STARS 1.0-2 – A vignette

Citation

Peterson E.E. (2011) STARS: Spatial Tools for the Analysis of River Systems – A tutorial. CSIRO Technical Report EP111313, 42 p.

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References

The following journal articles provide background information about spatial statistical models on stream networks. Articles [1,2] are written for a statistical or quantitative ecological audience and provide technical details, as well as a discussion of spatial statistical models on stream networks. Article [3] also provides details about the spatial statistical models, but is written for an ecological audience, with numerous worked examples provided in the appendices. Article [4] provides an interesting application of the models to stream temperature data in the Boise Basin, USA.

1. Ver Hoef J.M. and Peterson E.E. (2010) A moving average approach to spatial statistical models of stream networks. The Journal of the American Statistical Association, 489: 6-18.
2. Ver Hoef J.M. and Peterson E.E. (2010)A moving average approach to spatial statistical models of stream networks: Rejoinder, Journal of the American Statistical Association, 105(489): 22-24.
3. Peterson E.E. and Ver Hoef J.M. (2010) A mixed-model moving-average approach to geostatistical modeling in stream networks. Ecology, 91(3): 644-651. Appendix A | Appendix B
4. Isaak D., Luce, C., Rieman B., Nagel D., and Peterson E.,  Horan D., Parkes S., and G. Chandler (2010) Effects of recent climate and fire on thermal habitats within a mountain stream network, Ecological Applications, 20(5):1350-1371. 

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Example data

NCEAS Presentation that steps through the predictors and response variables & then has maps showing each database at the end of the presentation.

Bugs (zip file of .ssn data folder)

Attribute Metadata (xls)

Click map for larger image

Lower Snake (zip file of .ssn data folder)

Attribute Metadata (xls)

Click map for larger image

Middle Fork Salmon (zip file of .ssn data folder)

Attribute Metadata (xls)

Click map for larger image

Space Time (zip file of .ssn data folder)

Attribute Metadata (xls)

Click map for larger image

Reconditioned NHD+ stream layers for Northwest U.S.

GIS - Reconditioned NHD+ stream layers for Northwest U.S.

These NHD Plus stream hydrography layers for the Northwest U.S. have been edited and reconditioned to work consistently with the SSN package for implementing the spatial statistical stream models. Edits were performed useing the STARS toolkit and consisted of removing unconnected stream segments and reducing braided stream segments to single-threaded streams.

Other Links

Stream Temperature Modeling and Monitoring website

NorWeST Stream Temperature - Regional Database & Model

Climate-Aquatics Blog

Blog #27: Part 1, Spatial Statistical Models for Stream Networks: Context & Conceptual Foundations - Having the right tools is a good thing…

 

Blog #28: Part 2, Spatial Statistical Models for Stream Networks: Applications and Inference - Using the right tools is even better…

 

Blog #29: Part 3, Spatial statistical models for stream networks: Freeware tools for model implementation - Being given the right tools for free is the best...

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