sas business analytics forum 2011 kam
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Copyright © 2011, SAS Institute Inc. All rights reserved.
A Journey through the Spatial Data Mining and Geographic Knowledge Discovery JungleDr. Kam Tin Seong PhD Associate Professor of Information Systems (Practice)School of Information SystemsSingapore Management UniversityE-mail: tskam@smu.edu.sg
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Content
Motivations
Interactive exploratory analysis
Distribution analysis
Geographic data visualisation
Visualising and detecting spatio-temporal patterns
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Motivations
Availability of massive, high dimensional, and complex geospatially-referenced data
General lack of spatial data visualisation and analysis functions in data analysis software
General lack of data analytics techniques in conventional GIS
There is an urgent need for effective and efficient methods to visualise and detect unknown and unexpected information from these massive datasets
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Taxi Travel Log Case Study
One day taxi travel log – 278676 trips
Number of variables: 53
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Initial Data exploration: Univariate
Overview of the data
Detect outliers
Missing data
Identify new variables
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Initial Data exploration: Bivariate
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Data Cleaning and Transformation
Data cleaning
Derive new variables: Time interval, travel time etc
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Geographic Data Visualisation
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Visualising and Detecting Spatio-temporal Patterns with Interactive Brushing
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Visualising and Detecting Spatio-temporal Patterns with Animated Map
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Visualising and Detecting Spatio-Temporal Patterns with Trellis Maps
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Visualising and Detecting Spatio-Temporal Point Patterns
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Copyright © 2011, SAS Institute Inc. All rights reserved.
Visualising and Detecting Spatio-Temporal Point Patterns with Density Map
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