Registration open: Spatial-Stream-Network (SSN) Models Training Workshop in Boise, Idaho May 1-3, 2023
Dan Isaak
Hi Everyone, After a pandemic-induced multiyear hiatus, plans are in motion to teach the next SSN modeling workshop May 1-3, 2023 in Boise. Details regarding the workshop are below and in the attached flier & registration is now open here: https://www.eventbrite.com/e/445455177427. If there’s more interest than we can accommodate in one workshop, we’ll consider doing a second workshop in late April but that remains uncertain for now.
Registration now open: Spatial-Stream-Network Models training workshop:
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 (https://www.fs.usda.gov/rm/boise/AWAE/projects/SpatialStreamNetworks.shtml) or the National Stream Internet website (https://www.fs.usda.gov/rm/boise/AWAE/projects/NationalStreamInternet.html).
This
3-day workshop 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 20 students to ensure a high-quality experience and
sufficient interactions with course instructors. Workshop registration is $650,
which does not include lodging or meals.
The
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;
-uncertainty estimation;
-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
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 the
workshop. Participants at the 3-day workshop must bring a laptop with R
statistical software, ArcGIS (versions 10.x, but not ArcGIS Pro), and the
ArcGIS Spatial Analyst extension. Please contact the organizers if you cannot
meet these requirements. For more background on SSN model theory, applications,
and software developments, an up-to-date bibliography is maintained here https://www.fs.usda.gov/rm/boise/AWAE/projects/NationalStreamInternet/SSN_Bibliography.html. The SSN/STARS
webpage also hosts example datasets, documentation, and free software for
implementing the SSNs here: https://www.fs.usda.gov/rm/boise/AWAE/projects/SpatialStreamNetworks.shtml
Hope
to see you in Boise,
Erin Peterson (https://www.peterson-consulting.com/; http://staff.qut.edu.au/staff/petersoe)
Jay Ver Hoef (https://scholar.google.com/citations?user=I9q4usgAAAAJ&hl=en)
Dan Isaak (https://scholar.google.com/citations?user=mnzmXpUAAAAJ&hl=en)