International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
q 
P, (1/n) X [(Z-Yiyz 
i-l 
Where Z  - the poverty line 
q = the number of household heads below the 
poverty line 
n = the total no of households in reference 
population 
Yi = the income of the household in which household 
head 1 lives; 
P, = the FGT index 
X  — summation 
6.3 The ranking model 
Household total income; per capita income (PCI); assessed 
poverty levels such as incidence, depth, and severity indices can 
be used as geographically targeted schemes. This is done by 
ranking poor households according to their assessed poverty 
levels using a rating scale from l....n: where | is most 
vulnerable and n is least vulnerable (n is the last number 
signifying the position of the least vulnerable household. 
6.4 MCE model 
Having ranked the households and/or neighbourhoods by a 
chosen poverty measure, the decision maker is now faced with 
deciding where to draw the line between those that will receive 
social benefits and those to be excluded. The MCE is useful to 
define the ‘suitability’ of a particular solution on the basis of the 
geographically targeted schemes. 
7.0 Conclusion 
This study has been concerned with the-possibility of managing 
poverty with the GTGIS, an integrated GIS and multi-criteria 
evaluation DSS. It advocates an integrated management 
approach which combines several indices of poverty 
assessment, simulates geographically targeted alleviation 
schemes and monitors the impact of poverty reduction 
programmes on poverty levels over a period of time. In this 
paper, income poverty was conceptually modelled in which 
objects, their properties and relationships were identified. 
Furthermore, the rule base for geographically transferring 
benefits to poor households was illustrated. 
The GTGIS is designed and developed to support the 
aforementioned three application modules for managing 
poverty, especially in the Sub-Saharan African region. The 
ability of decision makers to effectively manage poverty in this 
region can thus be substantially improved with the use of the 
GTGIS. This work is an ongoing one for which further work is 
still required to enhance the overall performance of the system. 
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