Geospatial and Time Series Data Analysis
Geospatial and Time Series
Data Analysis
A tutorial for Data Science
Course IFT6758
Spatial Data Analysis
¡ñ
Spatial data: Information about locations and
shapes of objects in a geographic coordinate
system
Data analysis for traffic management
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Data collection from mobile devices
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Understanding mobility patterns
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Predicting traffic flow
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Optimizing traffic signal control (traffic
lights)
Spatial Data Analysis
¡ñ
Spatial data: Information about locations and
shapes of objects in a geographic coordinate
system
Predicting passenger demand
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Data is collected after each trip
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Recommendations to drivers
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Pricing based on predicted demand
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Similar types of analysis are possible for
public transit
Spatial Data Analysis
¡ñ
Spatial data: Information about locations and
shapes of objects in a geographic coordinate
system
Urban planning
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Different types of data with
geographical attributes (census
data, traffic data, etc.)
¡ñ
Long-term predictions
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Zoning (clustering)
Understanding Geospatial Data
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Location: a point on earth is specified by its
latitude and longitude
Imagine a line segment between the center of
the Earth and a location
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