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| + | <font size = 5; color="#FFFFFF">IS415 GeoSpatial Analytics for Business Intelligence</font>  | ||
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| + | [[Course_information| <font color="#FFFFFF">About</font>]]  | ||
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| + | [[Lesson_Plan| <font color="#FFFFFF">Weekly Session</font>]]  | ||
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| + | [[GAProject| <font color="#FFFFFF">Geospatial Analytics Project</font>]]  | ||
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Revision as of 22:55, 2 January 2018
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The Evil is in The Data
Contents
Geospatial Data Models and Modelling
Representing Real World Geography
- Digital representation
 - The fundamental problem
 - The spatial data models
 - Topology data models
 
Georeferencing
- Basic concepts of projections and coordinates
 - Georeferencing
 - Geocoding
 
Geospatial data modelling
- Geospatial database design
 - Spatial Metadata
 - Spatial indexing
 - Multi-user editing and versioning
 
Geospatial Data Repositories
- File-based
 - Geospatial RDBMS
 - Cloud based geospatial database
 
Before Class Readings
A Gentle Introduction to GIS [1]. Section on Vector Data, Vector Attribute Data, Raster Data, Topology and Coordinates Reference Systems.
ESRI Press. ESRI Press titles include Modeling Our World: The ESRI Guide to Geodatabase Design
Map Projection [2]
Geocoding [3]
Hands-on Session
Week 2: Working with Geospatial Data (The hands-on exercise handout and dataset are available in Dropbox)