Learn More
Areview of research that has been carried out on data mining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement patterns and only few, isolated definitions of these exist. Since the research interest in this area has recently started to soar, we believe that this is a good time to approach the(More)
BACKGROUND The movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to(More)
Since various behavioral movement patterns are likely to be valid within different , unique ranges of spatial and temporal scales (e.g., instantaneous, diurnal, or seasonal) with the corresponding spatial extents, a cross-scale approach is needed for accurate classification of behaviors expressed in movement. Here, we introduce a methodology for the(More)
Introduction, Objectives Mobility is a key element of many processes and activities, and the understanding of movement is important in many areas of science and technology such as meteorology, biology, sociology, transportation engineering, to name but a few. Hence, increasing amounts of movement tracking data and other data about movement of mobile objects(More)
We propose a segmentation and feature extraction method for trajectories of moving objects. The methodology consists of three stages: trajectory data preparation; global descriptors computation; and local feature extraction. The key element is an algorithm that decomposes the profiles generated for different movement parameters (velocity, acceleration etc.)(More)
Extracting knowledge about the movement of different types of mobile agents (e.g. human, animals, vehicles) and dynamic phenomena (e.g. hurricanes) requires new exploratory data analysis methods for massive movement datasets. Different types of moving objects share similarities but also express differences in terms of their dynamic behavior and the nature(More)
The behavior of animals is very much influenced by their surrounding environment. With the advances in positioning and sensor technologies, it is now possible to capture data of animal locations as well as their surrounding environmental information, at previously unseen spatial and temporal granularities. As a consequence, research interest in developing(More)
This paper introduces a similarity analysis method for moving object trajectories. The proposed method assesses the similarity between a set of trajectories in a multidimensional space, whose dimensions are formed by different movement parameters (e.g. position, speed, acceleration, direction), plus time. We investigate the applicability of the proposed(More)