The Spatial Lab

The spatial lab is a centre for spatial analysis and GIScience research in the Department of Geography and Environmental Studies at Wilfrid Laurier University in Waterloo, Ontario. We focus on developing and applying cutting edge spatial analysis techniques to understand dynamic processes. The work in the Spatial Lab often crosses disciplinary boundaries, and we collaborate with excellent researchers in fields from ecology, to urban planning, to computer and information science. Our work lies at the interface of spatial analysis, epidemiology, and ecology. For what we are working on right now, see the current projects page.

**NOTE** Website revisions currently underway

Recent publications on Google Scholar: Colin Robertson

Web Projects

wildlifehealthtracker.com  - tracking wildlife health events in Ontario

Grasslander.org - tracking agricultural activities and bobolinks in southern Ontario

RinkWatch.org – mapping and tracking backyard skating rinks across the globe

Tweetsinthestreets.org – monitoring and mapping emotions in cities using Twitter

News & Events

New Paper by Robertson and Yee Published in PLoS One: Avian Influenza Risk Surveillance in North
America with Online Media

New BOOK by Spatial Lab members Steve Roberts and Colin RobertsonGeographic Information Systems: Spatial Data Handling, Representation, and Computation

New Paper Published in GeoJournal: Towards a geocomputational landscape epidemiology: surveillance, modelling, and interventions

New Paper Published by Spatial Lab student Julia Metelka in AIMS Public Health: Japanese Encephalitis: Estimating Future Trends in Asia

Recent Figure

From the paper: Assessing Quality of Spatial Models Using the Structural Similarity Index and Posterior Predictive Checks

Spatial model results comparing a reference map (observed data) with one replicate data set simulated by a random draw from posterior distributions of model parameters (replicate data). The SSIM index, squared error, and SSIM components are presented. Dashed lines indicate areas of spatial discrepancy based on SSIM index analysis.

gean12028-fig-0003