One of our team members developed a GIS Decision Support System that was used to support the rationale for wind power site locations and site suitability of potential wind power projects across a regional study area. This project included the collection and analysis of multiple datasets (i.e. geology, viewshed and visibility, topographic, wind data, structure proximity, construction hazards and socio-economic sensitivities).
Our expert in this field has been involved in many wind power suitability analysis projects across New Brunswick (5 projects), Ontario (9 projects), and Nova Scotia (6 projects). These projects were similar in nature and involved his expertise in developing a comprehensive effects modelling study. These studies included, but were not limited to, analyzing noise distribution simulation, shadow flicker, visual impacts, visibility and line-of-sight concerns. The primary tools used for these projects included WinPro and ESRI products, as well as World Construction Set.
This project involved a team member who defined and delineated human health risk areas for a contaminated project site. This involved comprehensive environmental modelling and analyses of indoor and outdoor, air, soil, flora, fauna, water and groundwater data. Facilitation of four focus groups was also conducted.
This project involved a detailed spatial network analysis of a town's emergency response services to assess the current response times based on current administrative boundaries. The purpose of the study was to determine if proposed boundary alterations could be supported by the analysis results. The network analyses were conducted for fire, police and ambulance services throughout the town.
Using three key technologies (i.e. GIS, GPS and LiDAR), a methodology was developed for delineating critical habitat for Piping Plover. These findings were presented at the HydroScan conference in Saskatoon, the SAMPAA conference in Wolfville, and the ACAG conference in Halifax. They were also published in the Canadian Journal of Remote Sensing.
The purpose of this project was to gather and collect beach habitat information along with GPS locations of Piping Plover nesting sites across Atlantic Canada. Carrying capacity estimates were derived from nesting densities within beach habitat classifications. The data was imported into a spatial database and distributed by the custom ESRI ArcReader application that was then made available to scientists for performing further analysis.