Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 1
Proc. Int. Cartogr. Assoc., 1, 63, 2018
https://doi.org/10.5194/ica-proc-1-63-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 1, 63, 2018
https://doi.org/10.5194/ica-proc-1-63-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 May 2018

16 May 2018

Significant locations in auxiliary data as seeds for typical use cases of point clustering

Johannes Kröger Johannes Kröger
  • HafenCity Universität Hamburg, Lab for Geoinformatics and Geovisualization, Hamburg, Germany

Keywords: web mapping, cluster initialization, cluster preprocessing, significant locations, population density

Abstract. Random greedy clustering and grid-based clustering are highly susceptible by their initial parameters. When used for point data clustering in maps they often change the apparent distribution of the underlying data. We propose a process that uses precomputed weighted seed points for the initialization of clusters, for example from local maxima in population density data. Exemplary results from the clustering of a dataset of petrol stations are presented.

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