Although the notion of ‘too many markers’ have been mentioned in several research, in practice, displaying hundreds of Points of Interests (POI) on a web map in two dimensions with an acceptable usability remains a real challenge. Web practitioners often make an excessive use of clustering aggregation to overcome performance bottlenecks without successfully resolving issues of perceived performance. This paper tries to bring a broad awareness by identifying sample issues which describe a general reality of clustering, and provide a pragmatic survey of potential technologies optimisations. At the end, we discuss the usage of technologies and the lack of documented client-server workflows, along with the need to enlarge our vision of the various clutter reduction methods.
Although the notion of 'too many markers' have been mentioned in several research, in practice, displaying hundreds of Points of Interests (POI) on a web map in two dimensions with an acceptable usability remains a real challenge. Web practitioners often make an excessive use of clustering aggregation to overcome performance bottlenecks without successfully resolving issues of perceived performance. This paper tries to bring a broad awareness by identifying sample issues which describe a general reality of clustering, and provide a pragmatic survey of potential technologies optimisations. At the end, we discuss the usage of technologies and the lack of documented client-server workflows, along with the need to enlarge our vision of the various clutter reduction methods. 2/16PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27858v3 | CC BY 4.0 Open Access | recFigure 4. Video example of Rendering Latency https://doi.org/10.6084/m9.figshare.9332480 https://query.wikidata.org, Leaflet -Wikimedia -c OpenStreetMap contributors 3/16 PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27858v3 | CC BY 4.0 Open Access | rec
Although the notion of 'too many markers' have been mentioned in several research, in practice, displaying hundreds of Points of Interests (POI) on a web map in two dimensions with an acceptable usability remains a real challenge. Web practitioners often make an excessive use of clustering aggregation to overcome performance bottlenecks without successfully resolving issues of perceived performance. This paper tries to bring a broad awareness by identifying sample issues which describe a general reality of clustering, and provide a pragmatic survey of potential technologies optimisations. At the end, we discuss the usage of technologies and the lack of documented client-server workflows, along with the need to enlarge our vision of the various clutter reduction methods. 2/16PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27858v3 | CC BY 4.0 Open Access | recFigure 4. Video example of Rendering Latency https://doi.org/10.6084/m9.figshare.9332480 https://query.wikidata.org, Leaflet -Wikimedia -c OpenStreetMap contributors 3/16 PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27858v3 | CC BY 4.0 Open Access | rec
Although the notion of ‘too many markers’ have been mentioned in several research, in practice, displaying hundreds of Points of Interests (POI) on a web map in two dimensions with an acceptable usability remains a real challenge. Web practitioners often make an excessive use of clustering aggregation to overcome performance bottlenecks without successfully resolving issues of perceived performance. This paper tries to bring a broad awareness by identifying sample issues which describe a general reality of clustering, and provide a pragmatic survey of potential technologies optimisations. At the end, we discuss the usage of technologies and the lack of documented client-server workflows, along with the need to enlarge our vision of the various clutter reduction methods.
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