Representation of movement and contextual data: the need for integration : extended abstract
A.A.M. Ibrahim, U. Turdukulov, M.J. Kraak · University of Twente Research Information · 2012
Recent data acquisition tools such as global positioning system (GPS) and mobile phones have resulted in huge amounts of data with spatial and temporal components.They can be collected by tracking various moving objects such as humans, animals, cars, iceberg, and hurricanes.Understanding the behaviour of these moving objects is very important in various domains such as meteorology, sociology, transportation planning, urban planning, and land use.These moving objects are not isolated: they move in a certain context that influences and often explains their behaviours.To study the behaviour of moving objects we need to consider the relationship among moving objects and the context in which they move (Andrienko, Andrienko, & Heurich, 2011).Therefore, there is need to integrate movement data and contextual data that may be discrete or continuous.This integration increases the complexity of movement analysis and requires combining object and field representations.Humans and hurricanes are two domains of the moving objects where the context intensely influences the movement behaviour.Hurricane propagation is affected by sea surface temperature, humidity, vertical wind shear, global temperature, and sea level pressure.Human movement is also affected by context elements such as activity, infrastructure, socio-demographic characteristics, and climate.