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Location

London, Ontario

Website

https://westernu.maps.arcgis.com/apps/dashboards/61234059488042ccb4ad3b9583e03dee

Start Date

15-11-2021 2:00 PM

End Date

15-11-2021 3:00 PM

Description

To understand the regional variables associated with inclusive classroom placement for students with autism spectrum disorder in Ontario, it was first necessary to identify the best measure of region. Since publicly available data on the 72 school boards is limited, we needed a way to create our own. This presentation is about mapping as problem-solving and how inter-disciplinary collaboration can be illuminating. In our lightning talk, we will highlight how we used ArcMap to visualize inclusive classroom placement for students with autism spectrum disorder, as well as our use of CHASS to summarize census variables of interest as they fit within the school board boundaries. Not only did the maps allow us to identify areas that might require additional support in implementing inclusive placements, but also, the resultant summary statistics allowed us to calculate more precise correlations between classroom placement and the variables of interest.

Comments

SRT file available upon request, contact the GIS team via https://guides.lib.uwo.ca/gis/support.

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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Nov 15th, 2:00 PM Nov 15th, 3:00 PM

Mapping as Problem-Solving: Adopting a Geospatial Approach to the Study of Inclusive Education, Lightning Talk (7 min)

London, Ontario

To understand the regional variables associated with inclusive classroom placement for students with autism spectrum disorder in Ontario, it was first necessary to identify the best measure of region. Since publicly available data on the 72 school boards is limited, we needed a way to create our own. This presentation is about mapping as problem-solving and how inter-disciplinary collaboration can be illuminating. In our lightning talk, we will highlight how we used ArcMap to visualize inclusive classroom placement for students with autism spectrum disorder, as well as our use of CHASS to summarize census variables of interest as they fit within the school board boundaries. Not only did the maps allow us to identify areas that might require additional support in implementing inclusive placements, but also, the resultant summary statistics allowed us to calculate more precise correlations between classroom placement and the variables of interest.

https://ir.lib.uwo.ca/wlgisday/2021/lightningtalks/5