Figure 2 illustrates this approach where a
comparable example is developed to that in Figure 1.
Again, the intention is to find areas suitable for
industrial development, subject to the following
criteria: suitable areas will be near to a road (as near
as possible – upper left), near to a labour force (as
near as possible – middle left), on low slopes (as low
as possible – upper right) and as far from the wildlife
reserve as possible (middle right). As in Figure 1,
development is not permitted in wildlife reserves
(lower left) through use of a Boolean constraint.
These criteria are aggregated by means of a
weighted average of the criterion scores. In this case,
all criteria were standardised before weighting to a
common numeric range using the most commonly
used (but not necessarily recommended) technique –
linear scaling between the minimum and maximum
values of that criterion. The linear rescaling is to a
consistent range (0–255) as follows:
Figure 2 illustrates this approach where acomparable example is developed to that in Figure 1.Again, the intention is to find areas suitable forindustrial development, subject to the followingcriteria: suitable areas will be near to a road (as nearas possible – upper left), near to a labour force (asnear as possible – middle left), on low slopes (as lowas possible – upper right) and as far from the wildlifereserve as possible (middle right). As in Figure 1,development is not permitted in wildlife reserves(lower left) through use of a Boolean constraint.These criteria are aggregated by means of aweighted average of the criterion scores. In this case,all criteria were standardised before weighting to acommon numeric range using the most commonlyused (but not necessarily recommended) technique –linear scaling between the minimum and maximumvalues of that criterion. The linear rescaling is to aconsistent range (0–255) as follows:
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