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

User-Generated Content (UGC) User-Generated Geo-Content (UGGC)

+ Location

Blogs, Tweets Blogger, Twitter Social Networking Facebook, Orkut Wikis Wikipedia, WikiTravel Community Mapping Google Map, OSM Tagging Tag Maps, Geonames Photo & Video Sharing Flickr & YouTube

Applications of Web 2.0

TERMINOLOGY

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

POTENTIAL APPLICATIONS

Global Patchwork Environmental Monitoring Citizen Science Disaster Response

PROBLEMS

• Credibility & Quality
• Geovisualization

a) Base Layer (s) b) Top Layer (s)

METHODS

Summarizing

GeoVis

• Neo. Map 1A

Method 1

• Neo. Map 1B
• Neo. Map 2A

Method 2

• Neo. Map 2B

Compare 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.