Here are the web links and full reference of the Isaak et al. (2014) paper I showed while going through the spatial stream network model tutorial in class on Monday. I (and many others) have been waiting a long time for the availability of methods such as these and now we have them!

SSN/STARS – Spatial Statistics on Stream Networks

OLD ESRI Blog post (tools are now updated for ArcGIS 10.2)

NorWeST Regional Stream Temperature

Daniel J. Isaak, Erin E. Peterson, Jay M. Ver Hoef, Seth J. Wenger, Jeffrey A. Falke, Christian E. Torgersen, Colin Sowder, E. Ashley Steel, Marie-Josee Fortin, Chris E. Jordan, Aaron S. Ruesch, Nicholas Som and Pascal Monestiez. 2014. Applications of spatial statistical network models to stream data. Wiley Interdisciplinary Reviews: Water. DOI: 10.1002/wat2.1023

STARShomepageheader

I am working on a habitat model to predict changes in available steam habitat for acid- and thermally-sensitive aquatic species. The main goal is to combine stream temperature model results with existing acidity (ANC) results for the southern Appalachian Mountain region to evaluate the spatial extent of a habitat “squeeze” on these species. The relationship between air and water temperature will also be explored to generate future scenario results of habitat availability with changes in air temperature. I have been mostly working with non-spatial regression modeling techniques and I would like to explore the use of spatial statistical models to account for spatial autocorrelation among observations.

Here is my full study region:

StudyRegion

Non-spatial regression model results for ANC and water temperature:

Pisgah_RD_nolocator

 

Here is a potential study area with relatively high ANC data density:

StudyArea1