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Revision as of 22:55, 2 January 2018
IS415 GeoSpatial Analytics for Business Intelligence
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Thinking Spatially: Geospatial Analytics for Business Intelligence
Contents
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
