Research Article
A Classification Model to Evaluate the Security Level in a City Based on GIS-MCDA
Table 1
Criteria used with descriptive values.
| Criterion | Maximum value | Minimum value | Mean | Standard deviation | Preference | Definition |
| Income, R (by person) | 1863.64 | 86.15 | 378.66 | 400 | Gain | The lower the income of the person the greater the chances of the person committing a crime | Gini index | 0.72 | 0.40 | 0.52 | 0.05 | Cost | Measuring the distribution of the income; if less, then people have equal distribution | Infrastructure (bathroom and piped water%) | 99.59 | 48.53 | 83.57 | 12.40 | Gain | The precarious condition makes the place prone to crime | Education (years) | 13 | 4 | 7.36 | 2.36 | Gain | The better education conditions decrease the chances of people getting involved in crime | Demographic density per km2 | 28422 | 355 | 12390 | 6617 | Cost | The population increase makes the environment more propitious for making off after the crime |
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For each US1.00 equal R3.80.
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