A new class of spatial statistical network model for data on stream networks has recently been developed & free software is available for implementing the models. SSNs account for network topology (i.e., flow direction, stream size, tributary confluences) and offer significant improvements over many traditional statistical techniques that were developed originally for terrestrial applications. The SSNs are applicable to common types of stream data (e.g., water quality attributes, biological surveys, habitat conditions) through application of several distributions (e.g., Gaussian, binomial, Poisson). The models also account for spatial autocorrelation among measurements, which makes them powerful tools for mining information from large datasets aggregated from multiple sources. For additional details, please visit the SSN/STARS website http://www.fs.fed.us/rm/boise/AWAE/projects/SpatialStreamNetworks.shtml or the National Stream Internet website http://www.fs.fed.us/rm/boise/AWAE/projects/NationalStreamInternet.html.
These 3-day workshops will consist of a 1-day short-course & 2 days of working with course instructors to apply SSNs to participant’s datasets. Note that attendance is limited to 15 students per workshop to ensure a high-quality experience and sufficient interactions with course instructors. Workshop registration is $475, which does not include lodging or meals.
A workshop will include:
-overviews of two sets of free software (STARS ArcGIS toolset; SSN package for R Statistical Software)
-software demonstrations for:
-parameter estimation and modelling continuous, presence/absence (binomial), and count data (Poisson);
-kriging predictions at unsampled locations and block kriging for discrete areas;
-simulation and visualization techniques for space-time stream data;
-monitoring design considerations (developing new designs & supplementing existing ones);
-discussions of when spatial statistical techniques are most useful and the many new applications that are now possible for stream data;
-working with instructors to apply the SSNMs to your data
We will offer two 3-day workshops in Boise on March 29-31 & April 3-5. The attached flier describes the workshop in more detail & those interested in attending may register here: (https://www.eventbrite.com/e/5th-annual-spatial-modeling-workshop-registration-30329417103).
Note that a good working knowledge of statistics and the R statistical program are very useful (but not mandatory) to obtain the greatest benefit from workshop participation. Participants at the 3-day workshop must bring a laptop with access to R statistical software, ArcGIS (versions 10.1 or 10.2), and the ArcGIS Spatial Analyst extension. Please contact the organizers if you cannot meet these requirements.