Density calculation for moving points
Date
2010
Authors
Peters, S.
Krisp, J.M.
Editors
Painho, M.
Advisors
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Conference paper
Citation
The 13th AGILE International Conference on Geographic Information Science: Geospatial Thinking, 2010 / Painho, M. (ed./s), iss.135, pp.1-11
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Conference Name
13th AGILE International Conference on Geographic Information Science 2010 (11 May 2010 - 14 May 2010 : Guimarães, Portugal)
Abstract
To detect clusters and hotspots in moving point datasets is a difficult task. It depends on the data analysis and on the visualisation or rather simulation. This paper presents the investigation of the calculation and representation of temporally and spatially highly dynamic point datasets. Within the paper we provide a flexible approach that aims to explore point patterns and densities of points with temporal dimension. Two new approaches are presented, based on kernel density estimation (KDE); both of them consider the direction and the speed of movement for the individual points. One approach is based on a linear directed cone and the other one considers a “trigonometric bell”. The core benefit of this approach is that the resulting directed kernel density maps represent the point density at the initial time of the moving points as well as the point density change towards the end time of the recorded point movement in one single density map.
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Copyright 2010 AGILE