Lesson01

IS415 GeoSpatial Analytics for Business Intelligence

About

Weekly Session

Assignments

Geospatial Analytics Project

Course Resources

Thinking Spatially: Geospatial Analytics for Business Intelligence

Lesson01 slides

Course Overview[1]

• Why this course?
• What does it cover?
• Who is involved?
• What assignments?
• Rules to be followed

Introduction to Geospatial Analytics

Motivations of Geospatial Analytics

• Geospatial data are unique
• The power of where in business decision making
• A Gallery of Geospatial Analytics Applications

The Geospatial Technology Foundations

• Geographical Information Systems (GIS)
  • The role of GIS
  • Geospatial-enabled technologies (i.e. GPS, satellite remote sensing, RFID, mobile computing, social media)
  • GIS analysis
• Geospatial data repository
• GeoWeb Server
• GeoWeb Client

Geospatial Analytics Methods

• GeoSpatial Visual Analytics
• Exploratory Spatial Data Analytics Techniques
  • Spatial Point Patterns Analysis
  • Geographically Weighted Statistics and LISA
• Geospatial predictive models
  • Geographically Weighted Regression
  • Spatial Econometrics
• Flow and Movement data analysis
• Spatial Interaction Models
• Network and Locational Analysis
• Geographical Knowledge Data Discovery
• GeoComputation

Before Class Readings

• Geospatial Visualization in Business: Bringing John Snow into the Boardroom [2]

• Seven User Cases for Geospatial Analytics [3]
• Spatial analysis[4]
• Spatial Career Guide – How to Become a Geospatial Analyst [5]

You are required to view this videos before the lesson.

• Layers of Asia: A GIS Journey Through our World [6]
• Value of geographical information [7]
• Geospatial Revolution / Episode One [8]
• Geospatial Revolution / Episode Two [9]
• Geospatial Revolution / Episode Three [10]
• Geospatial Revolution / Episode Four [11]

Hands-on Session

Self-learning Hands-On Exercise: Your First Date with a GIS