RMRS Air, Water, & Aquatic Environments Science Program SSN & STARS: Tools for Spatial Statistical Modeling

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Rocky Mountain Research Station Home > Science Program Areas > Air, Water and Aquatics > Research Subjects > SSN & STARS: Tools for Spatial Statistical Modeling on Stream Networks

 

Stream Statistics Training Workshop – May 15 – 17, 2014 – Informational Flyer

Workshop registration now open, click here to REGISTER



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Stream Network Modeling


SSN & STARS: Tools for Spatial Statistical Modeling on Stream Networks

Spatial statistical models for streams provide a new set of analytical tools that can be used to improve predictions of physical, chemical, and biological characteristics on stream networks. These models are unique because they account for patterns of spatial autocorrelation among locations based on both Euclidean and in-stream distances. They also have practical applications for the design of monitoring strategies and the derivation of information from databases with non-random sample locations. Generating the spatial data needed to fit these statistical models requires practical skills in multiple disciplines including ecology, geospatial science, and statistics. This is the home page for two sets of tools that have been developed to make the methodology more accessible to users: the STARS ArcGIS toolset and the SSN package for R statistical software. These models were developed by researchers at NOAA and CSIRO.

 

Acknowledgements

 

STARS: ArcGIS Toolset

The purpose of the Spatial Tools for the Analysis of River Systems (STARS) toolset is to generate and format the data needed to fit spatial statistical models in R software. It is used in conjunction with the Functional Linkage of Waterbasins and Streams (FLoWS) geoprocessing toolbox for ArcGIS version 9.3, which provides an efficient framework for navigating throughout a stream network. Although the STARS toolset was developed to take advantage of the FLoWS-based framework, it also provides specific tools used to generate the spatial data needed to fit spatial statistical models to streams data. These include the calculation of hydrologic distances (with flow-direction preserved), the spatial additive function used to weight converging stream segments, and the covariates for all observed and prediction locations in the stream network. In addition, the topological structure of the network is exported in a format that can be efficiently stored, accessed, and analyzed in R.

 

Note that the toolset available for the training workshop in May will be for ArcGIS 10.2.

 

SSN: An R Package for Spatial Statistical Modeling on Stream Networks

The Spatial Stream Network (SSN) package was developed for R statistical software, which is powerful open source statistical computing and graphics software. Once the streams data have been properly formatted using the STARS toolset, the SSN package allows users to 1) import and store their spatial data in R, 2) calculate pair-wise distances and spatial weights based on the network topology, 3) fit spatial statistical models to streams data where autocorrelation is based on three spatial relationships (Euclidean, flow-connected, and flow-unconnected), 4) estimate relationships between stream variables (spatial regression), 5) make predictions at unobserved locations (prediction sites), 6) export spatial data for use in other software programs, and 7)  visualize the spatial data.

 

Tools for Spatial Statistical Modeling on Stream Networks - Frequently Asked Questions

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Tools for Spatial Statistical Modeling on Stream Networks - Software and Data Downloads

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Reconditioned NHD plus streams Project Boundary thumbnail

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Tools for Spatial Statistical Modeling on Stream Networks -  Latest Releases

 

 

 

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Tools for Spatial Statistical Modeling on Stream Networks -  Other Software

 

 

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Presentations for Spatial Statistical Modeling on Stream Networks

 

 

Presentations and Publications

 

Acknowledgements

Support for this work was provided by the US Forest Service, the US Geological Survey, and the Oregon State Office of the Bureau of Land Management. Some of this work was conducted as part of the working group entitled “Spatial Statistical Models for Stream Networks", supported by the National Center for Ecological Analysis and Synthesis, a Center funded by NSF (Grant #EF-0553768), the University of California, Santa Barbara, and the State of California. This project also received financial support from the Australian CSIRO Water for a Healthy Country Flagship, and the NOAA's National Marine Fisheries Service to the Alaska Fisheries Science Center.

 

Related Websites

NorWeST Stream Temperature Regional Database and Model

 

Reconditioned NHD Plus Streams (GIS) for Spatial Models

 

Stream Temperature Modeling and Monitoring

 

2011 Climate-Aquatics Decision Support Workshop

 

Western US Stream Flow Metric Dataset

 

Climate-Aquatics Blog

 

 

A National Stream Internet - 2-Page Science Briefing Paper

 

 

Rocky Mountain Research Station - Air, Water and Aquatic Environments Sciences Program
Last Modified:  Thursday, 03 April 2014 at 11:31:34 CDT

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