GEOVISUALIZATION IN NEOGEOGRAPHY? TANMOY DAS MENNO-JAN KRAAK - PowerPoint PPT Presentation

GEOVISUALIZATION IN NEOGEOGRAPHY? TANMOY DAS MENNO-JAN KRAAK

CONTENTS  Introduction  Terminology  Potential Applications  Problems  Methods  Conclusions

INTRODUCTION Applications of Web 2.0 Photo & Video Blogs, Tweets Social Networking Wikis Community Mapping Tagging Sharing Wikipedia, Tag Maps, Blogger, Twitter Facebook, Orkut Google Map, OSM Flickr & YouTube WikiTravel Geonames User-Generated User-Generated + Location Geo-Content Content (UGC) (UGGC)

TERMINOLOGY Top UGGC Layer(s) Map Mashup Base Base Map Layer(s)

POTENTIAL APPLICATIONS Environmental Monitoring Global Citizen Science Patchwork Disaster Response

PROBLEMS  Credibility & Quality  Geovisualization a) Base Layer (s) b) Top Layer (s)

METHODS Summarizing Compare GeoVis Neo. Map 1A Method 1 Neo. Map 1B Neo. Map 2A Method 2 Neo. Map 2B Compare

METHOD 1 & RESULT K-means Spatial Clustering on Flickr Data from Enschede, Netherlands

METHOD 2 & RESULT S-T Clustering using Kulldorf’s Scan Statistics on Swine Flu Data from USA  Locations of swine flu recorded  ‘Time’ attribute  No ‘spatial’ and ‘temporal’ pattern  Space-Time Clusters  Size indicates cluster’s radius  Colour indicates time period

CONCLUSIONS  Not trusted due to poor geovisulization and lack of credibility & quality  Neogeography maps are cluttered at certain scale (zoom level)  Clustering might be one of solutions to remove clutter  Both Space and S-T clustering can be used  Limitations of Clustering  Improved GeoVis does not solve the problem of credibility & quality  User’s requirement analysis is required  Clustering techniques are professional. Challenge is to implement them within neogeography domain.