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Papers, video recordings and material from workshop held at the Spatial Analysis Research Center (SPARC), Arizona State University, on February 11 and 12, 2019, see workshop website at https://sgsup.asu.edu/sparc/RRWorkshop

The development of sensors such as GPS trackers that capture movement data in realtime\ud and at detailed spatial and temporal scales has transformed our ability to collect mobility\ud data (Kwan and Neutens, 2014). Currently, however, these developments in movement data\ud collection technologies are much further ahead than current methods for extracting meaningful patterns from such data (Laube et al., 2007; Long and Nelson, 2012). Furthermore, there have been very few studies that have tried to explore decision-making processes related with movements using GPS data and similar sources. There is a need therefore to discover if new forms of mobility data can be translated into new insights into movement behaviour. Here we do this through an examination of the calibration of spatial interaction with GPS data. As part of this experiment, we discover what needs to be done to transform raw GPS data into origin-destination matrices of aggregated flows.

The paper indicates, by a review of the early growth centre literature and the later spatial analysis literature, how little is known, particularly in quantitative terms, about the spatial impacts of growth centres. A regression model is then presented by which several aspects of the spatial impacts of growth centres in Ontario are investigated. Generally, it was found that growth was polarised around a set of designated growth centres and this growth diffused away from the growth centres quite gradually. The exceptions were for large centres, growing slowly, where growth rates increased sharply as distance to growth centres increased and for small centres , growing rapidly, where growth rates decreased rapidly with distance from growth centres. From the regression model, a further model was derived which was used to investigate the extent of spread effects from growth centres in Ontario. The approximate mean maximum distance of the diffusion of spread effects from growth centres was found to be 163 miles. This could have important implications for the spacing of growth centres and government policies relating to growth centres. The analysis also investigates the relationship between growth rates and population size and this was found to be non-linear. Generally, for small centres, population. size and growth rates were negatively related: for intermediate-sized centres the relationship was positive; and for large centres the relationship was again negative. Thesis Master of Arts (MA)