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Team G – High Availability Geographic Information System (HAGIS)

Students:

  • Chun Wa Chui
  • Martin Hanke
  • Christiandy Hartono
  • Lloyd William Hazlett
  • Umashankar Jegasothy
  • Yoanes Alfian Koesno
  • Meity Lie
  • Angus Ian Macaulay
  • Ee-Yun Phun
  • Peter David Spiller
  • Duana Saskia Stanley
  • Yuhan Teoh
  • Shiwei Wu
  • Bronco Kwok-Pong Yuen
  • Yin Zheng

Supervisor: Tariq Mahmood

The idea behind Geographic Information Systems (GIS) has been around for many years but only with recent explosions of computer processing power, the internet and mobile technologies have they become the force behind the next technical revolution. GIS technology allows organisations to manage their geographically referenced data in an efficient and scalable manner. Applications for GIS exist in scientific investigations, asset or resource management, development planning, cartography and route planning and are capable of a wide range of tasks such as mapping of assets of a certain type in a given location or calculating emergency response times in the event of a natural disaster.

GIS put simply is a computer system capable of assembling, storing, manipulating, displaying and analysing geographically-referenced information i.e. data with a spatial or location component (eg. coordinates on the earth's surface). Spatially enabled databases used in GIS supersede traditional databases in their ability to provide efficient manipulation, storage and querying of spatial data. The type of data that can be stored is limitless, however some examples may include, roads, municipal boundaries, population or crime rates. GIS uses this information in combination with an organisation's domain specific data to provide highly detailed visualisations or statistical analyses which are invaluable aids for decision making.

The aim of our project is to build a Geographic Information System that is not only capable of storing spatially enabled information and rendering this to maps but also performing geocoding (the process of identifying locations on maps using addresses) and real time tracking of objects. This system, combined with the right geospatial application, will be commercialised and offered to companies as part of a total asset management solution. Interested parties would include those who currently have no efficient way for managing and analysing their geographical data. It will allow them to fully exploit the collection of geographical information available to them in relation to their asset data, maximising control over their assets, assisting them in complex decision processes which are ultimately aimed at gaining or maintaining a competitive edge in their industry.
Team G

 


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