Presented at SAS Business Analytics 2011 event in Singapore.

1. A Journey through the
Spatial Data Mining and
Geographic Knowledge
Discovery Jungle
Dr. Kam Tin Seong PhD
Associate Professor of Information Systems (Practice)
School of Information Systems
Singapore Management University
E-mail: tskam@smu.edu.sg
Copyright © 2011, SAS Institute Inc. All rights reserved.

2. 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.

3. 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.

4. 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.

5. 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.

6. Initial Data exploration: Bivariate
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Copyright © 2011, SAS Institute Inc. All rights reserved.

7. 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.

8. Geographic Data Visualisation
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Copyright © 2011, SAS Institute Inc. All rights reserved.

9. Visualising and Detecting Spatio-temporal
Patterns with Interactive Brushing
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Copyright © 2011, SAS Institute Inc. All rights reserved.

10. Visualising and Detecting Spatio-temporal
Patterns with Animated Map
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Copyright © 2011, SAS Institute Inc. All rights reserved.

11. Visualising and Detecting Spatio-Temporal
Patterns with Trellis Maps
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12. Visualising and Detecting Spatio-Temporal
Point Patterns
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Copyright © 2011, SAS Institute Inc. All rights reserved.

13. Visualising and Detecting Spatio-Temporal
Point Patterns with Density Map
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Copyright © 2011, SAS Institute Inc. All rights reserved.

14. Q&A
Copyright © 2011, SAS Institute Inc. All rights reserved.