Exact(29)
Our GIS has been implemented based on the Globus Toolkit 4 as Web services compliant to Web Services Resource Framework (WSRF) specifications.
Our GIS modeling approach is an example of a spatial analytical tool that could help resource management planners to evaluate the potential ecological impact of management alternatives.
These data were overlaid on our GIS map of grape acreage in the area as viewed by satellite photography, which we last updated in October of 2011.
Our GIS Day featured posters, lightening talks, presentations, and a panel session that included local innovators from Bay Area Industry, Government, and Non-Profits.
Our GIS method is generic and can be expanded and adapted to allow faster integrated processing of growing amounts of data for many coastal areas and other large urbanising lowlands around the world.
A regression of the predictions of our GIS model against these sample data showed that the model has a modest but significant ability to predict both salamander abundance and mass per unit area.
Similar(31)
In practice, more general applicability of our GIS-enabled approach is limited by three factors: particular differences in the extent of technical focus on GIS among sites; availability of relevant data; and variability in geographic and demographic organization among sites.
Our GIS-based approach to view freshwater recreational fishing through an ecosystem service lens will enable scientists and managers to examine (1) biophysical and social factors that foster or diminish cultural ecosystem services delivery, (2) demand for cultural ecosystem services relative to their capacity, and (3) ecological pressures like potential overuse that affect service sustainability.
Our GIS-based regression analysis provides statistically robust indications that explanatory variables (elevation, topographic protection, landcover, time of day, month, and mobile homes) strongly influence EWP in Arkansas, with the caveat that hazardous weather frequency is congruent to magnitude.
We therefore did not include wind-weighting for any of our GIS-based covariates.
A technical discussion of our GIS-based approach is provided elsewhere (Goldberg et al. 2007).
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