Spatial Change and Spatial Interaction Modelling
This course covers important modelling foundations of urban and regional dynamics and their relation to GIS and remote sensing, in particular for spatial change and spatial interaction analysis.
Changes in locations and patterns of human activity in cities and in their hinterland can be characterised through sets of variables that determine the direction, extent and nature of these changes. Such change processes are highly complex because they are the result of the aggregate outcomes of a large number of individuals and organisations interacting with one another and with their environment. In peri-urban areas, urbanisation results in both direct and indirect changes in the use of land. Understanding such processes is essential to achieving sustainable development.
Spatial growth (or spatial change) models can be used to better analyse, predict and simulate the likely functional patterns of urban and regional development. Spatial interaction models analyse flows of people and goods between locations, based on the size of (potential) economic activity. Such models are of relevance to the study of optimal service locations and people’s accessibility to economic opportunities, as well as the simulation and forecast of network flows, and can also be used to optimise and manage network throughput.
In this course, participants will learn about spatial interaction theory and models, spatial growth/change models, and the use of detection algorithms for multitemporal remote sensing images to model development, change and expansion in rapidly changing peri-urban regions. Network geography and space syntax are also discussed.
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