Difference between revisions of "Course information"
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This course provides students with an introduction to the concepts, principles and methods of geospatial analytics and their practical applications of geospatial analytics in real world operations. Emphasis will be placed on (i) locating, acquiring and integrating business data into geospatial data repository, (ii) understand the principles and methodologies of the geocoding process, (iii) become familiar with geovisualisation, spatial analysis and location modelling techniques, and (iv) explore the technologies and possibilities of server-based and/or web-based spatially enabled decision support systems. | This course provides students with an introduction to the concepts, principles and methods of geospatial analytics and their practical applications of geospatial analytics in real world operations. Emphasis will be placed on (i) locating, acquiring and integrating business data into geospatial data repository, (ii) understand the principles and methodologies of the geocoding process, (iii) become familiar with geovisualisation, spatial analysis and location modelling techniques, and (iv) explore the technologies and possibilities of server-based and/or web-based spatially enabled decision support systems. | ||
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| + | =Course Objectives= | ||
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| + | Upon completion of the course, students will be able to: | ||
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| + | * Understand the basic concepts and theories of GIScience and geospatial analytics, | ||
| + | * Create and manage spatially-enabled real world data, | ||
| + | * Use appropriate geovisualisation and mapping techniques to analyse and visualise geographical data, | ||
| + | * Understand the basic concepts and methods of geocomputation and geospatial analytics, | ||
| + | * Use appropriate geospatial analysis methods in detecting, analysing and modelling geospatial patterns and relationships, and | ||
| + | * Design and implement spatially enabled geospatial analytics applications. | ||
Revision as of 08:56, 6 January 2019
IS415 GeoSpatial Analytics and Applications
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Synopsis
In this globalising and competitive business environment, the value of location as a business measure is fast becoming an important consideration for organisation. GIS with its capability to capture, manage, display, and analyse business information spatially is emerging as a location intelligence tool.
This course provides students with an introduction to the concepts, principles and methods of geospatial analytics and their practical applications of geospatial analytics in real world operations. Emphasis will be placed on (i) locating, acquiring and integrating business data into geospatial data repository, (ii) understand the principles and methodologies of the geocoding process, (iii) become familiar with geovisualisation, spatial analysis and location modelling techniques, and (iv) explore the technologies and possibilities of server-based and/or web-based spatially enabled decision support systems.
Course Objectives
Upon completion of the course, students will be able to:
- Understand the basic concepts and theories of GIScience and geospatial analytics,
- Create and manage spatially-enabled real world data,
- Use appropriate geovisualisation and mapping techniques to analyse and visualise geographical data,
- Understand the basic concepts and methods of geocomputation and geospatial analytics,
- Use appropriate geospatial analysis methods in detecting, analysing and modelling geospatial patterns and relationships, and
- Design and implement spatially enabled geospatial analytics applications.
