Visual bandwidth selection for kernel density maps
Date
2009
Authors
Krisp, J.M.
Peters, S.
Murphy, C.E.
Fan, H.
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Journal article
Citation
Photogrammetrie, Fernerkundung, Geoinformation, 2009; 2009(5):445-454
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Abstract
Within this paper we investigate the challenge to find an appropriate bandwidth in kernel density estimation. Kernel density estimation methods can be used in visualizing and analyzing spatial data, with the objective of understanding and potentially predicting event patterns. Our aim is to provide a computational tool to visually select the bandwidth parameter and to visually investigate the effect of different parameters within the kernel density calculations. With this tool the user is able to visually find the most appropriate bandwidth for the particular dataset and scale. The slider-tool includes a graphical user interface and can read point datasets. A specific number of kernel density maps are generated by using a range of bandwidths. In the graphical interface these kernel density maps can be drawn near real-time while the user changes the respective bandwidth using a slider tool. This helps to determine which bandwidth setting fits the needs and provide an appropriate visualization of a particular point dataset.
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Copyright 2009 E. Schweizerbart'sche Verlagsbuchhandlung