My research interests lie in spatial analysis, in both theoretical and spatially-grounded applications. Teaching focuses on GIScience (Geographical Information Science), GIS Systems, and Remote Sensing, and includes advanced issues in GIS, research using GIS (crime analysis, health geography and landscape ecology). Read more.
Spatial analysis is an area of study that lies at the core of geography yet is inherently interdisciplinary and has relevance in the physical, health and social sciences. The thread that unifies my research is the understanding and insight that advanced spatial analysis brings to theoretical and applied research problems--often unveiling subleties that would otherwise have been overlooked.
I have three main areas of research interest:
- Theoretical investigations in spatial concepts. That is, exploring the theoretical underpinnings of spatial analysis, including issues related to scale, error and accuracy, visualization, fractals and data mining.
- The application of spatial analytical theory in subject areas where space and place are considered important explanatory elements. This includes a particular focus on biogeography (including health geography/medical biogeography and conservation biology) and, in particular, the distributions and occurrences of species (e.g. landform correlations). It also includes a focus on aspects of human geography, such as immigration, VGI, and land use applications.
- The social impacts of spatial technologies. That is, exploration of the social aspects of GIScience and geospatial technologies--the reflexivities between technology and society (e.g.public participation and the geoweb).
Example research topics in my lab
- Spatial analytical theory
- Digital elevation models (DEMs)and fractals
- Topographic characterization for DEM error modelling
- Approximation of topographic surfaces from Digital Elevation Models
- Error analysis in Geographic Information Science
- Managing uncertainty in forest inventory data: analysis and visualization
- Handling uncertainty in GIS and environmental models
- Interactive visualization tools for spatial data and metadata
- Statistical and non-statistical approaches to data generation techniques
- Integrating cellular automata and GIS for dynamic spatial modelling of land use change
- Theory application
- Remote sensing, GIS and elephant studies in Africa (current)
- Salish Sucker habitat modeling and prediction (current)
- Spatial analysis of yellow cedar decline in British Columbia
- Predictive mapping of the phantom orchid (Cephalanthera austiniae) in British Columba
- GIS and distribution of Green Sea Turtles
- Medical Biogeography
- Spatial risk assessment of West Nile Virus in British Columbia
- Prevalence of tick-borne pathogens in the Okanagan
- Ecological niche modeling of the pathogenic fungus Cryptococcus gattii
- Predicting the cultural mosaic in Canada
- GIS and Modeling Agricultural Scenarios
- Data mining and socio-political analysis: Mexican election results (current)
- Geomatics and the geoweb: participatory geoweb and global environmental change (current)
- Volunteer Geographic Information (VGI) and public reporting of wildlife occurrences (current)
- Modelling and prediction of extreme weather: early warning for Mongolian dzud and drought
- Environmental monitoring using remote sensing and GIS: geographies of urban agriculture
Special Projects: The Biodiversity of British Columbia
Three special initiatives are currently underway. Through the Biodiversity of British Columbia website and the biogeographic atlases of British Columbia, E-Flora BC and E-Fauna BC, we provide insights into our provincial biodiversity, what influences it, and how it is studied. The atlases contain a significant VGI or citizen science component .