Spatial analysis techniques for the comparison of spatial data sets from urban models
The conventional ways of examining spatial data sets are by using the traditional descriptive or inferential statistics for numerical comparison or by displaying the outputs with the spatial features associated with the spatial data sets. These analyses usually will not provide insight into the spatial attributes and lack the ability to interpret the spatial relationships among the spatial data sets. This dissertation research attempts to introduce and to identify feasible and suitable spatial analysis techniques as alternative methods for comparing and analyzing the spatial data sets.
The characteristics of spatial data are identified at the very beginning of this study, followed by the evaluations of feasibility and suitability of the spatial analysis techniques for analyzing the spatial data sets, particularly those sets utilized by urban models. To provide an example of the uses of the qualified spatial analysis technique, in this case the Gi* statistic, comparisons were made based on the data of five income household groups in the Portland, Oregon, region from the forecasting results of Putman's urban model DRAM. The results from this research proved that the procedures of the evaluations and the utilizations of the spatial analysis technique, the Gi* statistic, did provide a useful alternative method for examining the spatial data.
Area planning & development;
0999: Area planning & development