Modelling income poverty in the Geographic Targeting Geo-Information System

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Halving world extreme poverty by year 2015 has been made the first and most prominent of the 8 United Nations' Millennium Development Goals (MDG) thus making the issue of poverty reduction a global challenge. Harnessing the potential of GIS-based ICTs for poverty reduction is imperative. As spatial determinants are being considered essential in understanding poverty, there is an increasing use of GIS in handling poverty. However, the use of GIS is raising fundamental and methodological issues in relation to the spatial modelling of poverty and the limitations of GIS as a tool for use in all aspects of poverty reduction. In modelling poverty assessment, for instance, GIS software has no functionality for Econometric and Anthropometric measurement of poverty. Hence, the need to extend GIS functionalities. This paper describes the modelling of income poverty, within the framework of the Geographic Targeting Geo-Information System (GTGIS) for poverty management. Income poverty is modelled as a part of the Poverty Assessment Module, which is based on object-oriented technology. Using a Rapid Application Development approach, the Unified Modelling Language (UML) is used for system design.

Original languageEnglish
Title of host publicationProceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005
Publication statusPublished - 2005
Event8th AGILE International Conference on Geographic Information Science, AGILE 2005 - Estoril, Portugal
Duration: May 26 2005May 28 2005

Other

Other8th AGILE International Conference on Geographic Information Science, AGILE 2005
CountryPortugal
CityEstoril
Period5/26/055/28/05

Fingerprint

Geographic information systems
targeting
poverty
information system
Information systems
income
modeling
Geographical Information System
GIS
Unified Modeling Language
functionality
Systems analysis
United Nations
econometrics
UNO
determinants
software

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development

Cite this

Akinyemi, F. O. (2005). Modelling income poverty in the Geographic Targeting Geo-Information System. In Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005
Akinyemi, Felicia Olufunmilayo. / Modelling income poverty in the Geographic Targeting Geo-Information System. Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005. 2005.
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Akinyemi, FO 2005, Modelling income poverty in the Geographic Targeting Geo-Information System. in Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005. 8th AGILE International Conference on Geographic Information Science, AGILE 2005, Estoril, Portugal, 5/26/05.

Modelling income poverty in the Geographic Targeting Geo-Information System. / Akinyemi, Felicia Olufunmilayo.

Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005. 2005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Akinyemi FO. Modelling income poverty in the Geographic Targeting Geo-Information System. In Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005. 2005