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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
6. OBJECTS AND THEIR PROPERTIES IN THE 
INCOME POVERTY ASSESSMENT DATABASE 
There are different data requirements for the three modules 
whereby output of a module becomes the input into another 
module. The analyses to be generated in the system would 
employ the multi-criteria and multi-objectives approach which 
will integrate a vast array of objects in the database. However 
for the purpose of illustration, discussion will be limited to the 
identification of objects and their properties in the income 
poverty model (figure 4). 
  
  
  
  
  
  
  
  
  
  
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pe 4 Z > N mE. "^. 
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i. m 
  
  
   
  
   
    
    
    
  
   
a(m) - Incidence of moderate poverty, Pe(e) - Incidence of extreme 
overty, PL (m) - depth of moderate poverty, P(e) - depth of extreme 
Owrty , Po(mi) - severzy of moderate poverty, P (8) - eeverzy of exzrame 
ovety, PCI —totalhoucehold per capta income , E Po(zn) - Bark of 
cher € of moderste poverty, RPy(e) - Park of. Incidence of extreme 
Ovety, EPr(m) - Rank of depth o£ moderate poverty, RPi(e) = Rank 
f depth of extreme poverty, RP (mn) - Rank of severity of moderate 
Owerty, RPo(e)- Rarik of severity of extreme poverty, Rinc - Eank for 
otalhousekold tome, Rpci- Rank for total houcehold per capita income 
cheme 
  
  
Figure 4: Objets and properties in the income poverty model 
317 
Figure 5 shows the steps in the income poverty modelling. 
These are: (1) calculation of household income (the household 
income model); (2) measurement of houschold income poverty 
level in its three dimensions of poverty incidence, depth and 
severity (household income poverty level model); (3) 
geographic targeting simulation model (ranking model); 
(4) Multi - Criteria valuation model (MCE model). 
  
  
Calculate household income 
  
  
  
Y 
Measure and map esch household mcome poverty 
incidence, depth and seventy level (Foster-Greer- 
  
  
  
  
  
  
  
| Thoibecle poverty index) 
| F Poverty 
De maicate househo ds mio poor L— — » Inventory 
and non - households mapping 
  
  
  
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|. Remove 
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Geog mphically target poor Fove ry — 
househokis (ranking schemes) — [——* Vulne ability 
mapping 
  
  
  
  
r 
Select crteria fbrsocialbene fit tmnsfer (MICE) 
  
  
  
  
  
  
Figure 5: The rule base for benefit transfer to the poor 
6.1 The household income model 
The variable, ‘household income’ comprises of income from 
various sources accruing to each household. Income sources 
include household head’s salary/pension (a retiree) from formal 
occupation and/or profit from informal occupation, spouse (s) 
income and dependant’s financial support (in modelling the 
African poverty scene, dependants such as children have 
emerged as significant generators of income for the household). 
Total household income is required for input into the income 
poverty model for computation of income poverty indices of 
incidence, depth and severity. 
6.2 The household income poverty level model 
The three dimensions of income poverty (incidence, depth, 
severity) in each of the households were measured using the 
variants of the FGT poverty index (Foster ef al., 1984).