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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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<font size=5>The Evil is in The Data</font> | <font size=5>The Evil is in The Data</font> | ||
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)