Spring, 2019

This project uses spatial analysis and cartography to complement existing research aimed at documenting and increasing awareness of intersecting issues related to housing insecurity within rural Southwestern Nova Scotian communities.

Many residents do not have sufficient access to affordable, adequate, and safe housing. Although there exists no single action that will right systemic housing inequity in our communities, we can use GIS analysis to help clarify which areas are most vulnerable, where at-risk populations exist, to reveal the locations of issues with housing stock, and more. Thematic mapping techniques can illuminate this data, providing effective ways to symbolize the geographic components of qualitative and quantitative data. Creation of effective print layouts for presentation can yield visualizations providing meaningful support to data.

In these ways, GIS can contribute tools to ongoing collaborative efforts, informing decision makers and helping to realize long-term changes needed in our communities to support and create opportunities for those in need.

To realize this project, I worked closely with points of contact from the Tri County Women’s Centre (Yarmouth, Nova Scotia) and members of local housing coalitions, including the Digby and Area Affordable & Supportive Housing Group (DAASH), the CHOICE Housing Committee, and the Shelburne County Housing Coalition to develop a series of data visualization maps. These maps displayed data from the 2016 Canadian Census and the clients’ own Housing: Now and Into the Future needs assessment survey related to key themes as identified by the clients. Regular client meetings were held throughout the project life cycle to share progress, revise workflows, and develop recommendations for future work.

The maps are anticipated to be shown at upcoming housing symposiums in Nova Scotia.

1. Housing Insecurity

Download full size (A1 (23.4 x 33.1"), 30 MB, PDF)

2. Housing Stock Issues

Download full size (A1 (23.4 x 33.1"), 76 MB, PDF)

3. What Would Help

Download full size (A1 (23.4 x 33.1"), 35 MB, PDF)