UMBC High Performance Computing Facility
Please note that this page is under construction. We are documenting the
240-node cluster maya that will be available in Spring 2014. Currently,
the cluster tara is still available. Please see the 2013 Resources Pages
under the Resources tab.
Threshold Indicator Taxa ANalysis
Matthew Baker, Department of Geography and Environmental Systems, UMBC, and Ryan King, Department of Biology, Baylor University
Threshold Indicator Taxa ANalysis (TITAN) is a straight-forward and objective method of identifying and interpreting ecological community thresholds along an environmental gradient. TITAN is based on indicator species analysis (IndVal), a widely accepted method for identifying indicator taxa among levels of a categorical variable. In TITAN, we extend principles of IndVal to identify the value of a continuous variable, x, resulting in the optimal partitioning of sample units based on normalized indicator values (z) for individual taxa and additive response of all indicator z-scores (sum(z)) at the community level. Resampling procedures are used to estimate reliability of indicators and uncertainty surrounding thresholds and this can be computationally intensive with large datasets. We are exploring the ground-breaking insight provided by TITAN in a variety of large community datasets from across the US.