Set up
The first step in the process was to define the study area, collect data, and select a set of indicators that are reasonably representative of TOD.
Each indicator was modelled and then quantified in within a raster dataset in ArcGIS. Quantification methods were adapted to suit the spatial environment. A raster format was chosen because it enables the map overlay operation in Integrated Land and Water Information System (ILWIS). A grid cell size of 200m by 200m was chosen.
Model & quantify indicators
Spatial Multi-criteria Evaluation
The individual indicator maps are combined into one composite output by using a set of Spatial Multi-criteria Evaluation (SMCE) tools. The final TOD scores for each raster cell range from 0 to 1, where 1 represents a perfect score. The program ILWIS facilitated this process.
Spatial statistics analysis
A cluster and outlier analysis was performed to identify statistically significant clusters of high TOD values and low TOD values. This process not only considers the values of each raster cell, but also the spatial relationship between each raster cell and its neighbours.
The percentage population statistic within high and low-value clusters (respectively) was calculated to better compare the results and reveal otherwise hidden trends.
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