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