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The Complexity of
Urban Information
Gathering
Abdulfatai Popoola
Representation Formats
Primal Dual
Measuring Difficulty
Eigenvector Centrality
Stage 1: Data Collection
▪ Openstreetmap
▪ Challenges
▪ Extra data: age, crime, continent, structure, area, population
Merging Roads
Artificial data
Processed Data
• Inter metric correlations
Discoveries…
Correlation
• Age
Correlation
• Age
Correlation
• Crime I
Correlation
• Crime II
Continental Boxplots
Entropy Gini Coefficient
Stats
Difference
Asia-Europe False
Asia-North America True
Europe-North America True
df H P < 0.05
Entropy 2 51.62 True
Gini Coefficient 2 44.65 True
Structural Boxplots
Entropy Gini Coefficient
Stats
df H P < 0.05
Entropy 2 2.20 False
Gini Coefficient 2 2.07 False
No significant Correlations
• Area
• Population
Contributions
▪ Model
▪ JIZNA
▪ Applications
2012
Tag Challenge
Tag Challenge Cities
• Entropy
More to come
Data
Dynamic characteristics
DARPA’s Red Balloon Challenge
Finally…
▪ Just about three major things
▪ The age of a city can influence the ease of search.
▪ City structure has no significant influence on ease of search.
▪ North American cities easier to search than European/Asian cities.
Thank you.
Questions
extras
Projections
Normalization

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Master Thesis Defense