Methodology

Least Cost Path Including Alberta

Due to Alberta data being rather limited to UBC students (not much more than digital elevation models (DEM) were available for easy access), most of the analysis focused on British Columbia.

Using a DEM of Canada (acquired from Geogratis) and a provincial boundaries shapefile (acquired from the G: drive) to clip BC and Alberta, a DEM of these two provinces was obtained. Then, using this DEM, a slope surface was obtained and this was coupled with the Cost Distance and Cost Path tools (with the locations of Kitimat and Bruderheim as starting and finishing points) to eventually create a least cost path spanning across the two provinces.

Finally, by georeferencing a route map JPEG from the Northern Gateway official website, a "proposed route" path was digitized and this was overlain next to the slope-generated path created.

Cost Surface and Least Cost Analysis

The path creation part of the project was focused only within British Columbia due to the difficulty in attaining data pertinent to the project within Alberta.  An image of the proposed pipeline was acquired from the Northern Gateway Pipeline website (2009) and was then digitized in order to create a layer for the proposal.  Once digitized, the locations of where the proposed pipeline crosses the border and where the pipe ends in Kitimat were used to create two point shape files with the editor tool.      

These start and end point positions then allowed us to establish an area of interest base map from a base map of British Columbia.  This would minimize the size of the files produced from any GIS work and eliminate any analysis being done on areas interest.  The area of interest used a rectangular shape, longer in the East-West directions than in North-South and was chosen arbitrarily by assuming that the least cost path would not travel too far in the North or South directions. 

Any vector files acquired were converted to raster in order to create the appropriate raster cost surfaces later on.  All of the resulting raster data was then intersected such that only data within the area of interest was kept.   Once this was done, all of the layers for the parameters in our analysis were reclassified so that their “value” was actually an arbitrary cost that was based on either assumed relative construction costs or environmental/societal impacts.  This was done for the production of all 3 raster surfaces.  The cost values can be viewed in the Cost tables below.

The raster calculator was then used to produce a single cost raster surface that would be used to produce the cost distance and the cost back link raster layers.  Once this process was complete, a least cost path was created.

The table which contains the cost values used in the multi-criteria least cost analyses can be found here.

Cost surface created for path 2

Socioeconomic Analysis

Data for this portion was obtained from Abacus, Statistics Canada, and the UBC Geography server.

Shapefiles of dissemination areas (DAs) and census subdivisions (CSDs) of BC were taken and intersected by our area of interest (the area near which the Enbridge pipeline is proposed to pass through).

The Statistics Canada data tables used in this analysis that containing information for dissemination areas and census subdivisions were initially too large to be imported into ArcMap. Relevant categories and areas needed to be queried for just BC. After this was done, the tables were small enough to be exported and used. Once opened in ArcMap, the tables were joined with the intersected DA and CSD shapefiles. With this join, choropleth maps were created for average income, unemployment, and aboriginal populations.

The Enbridge and cost polylines were then overlaid over the choropleth maps so that socioeconomic observations of each path could be done.