1 Spatial Modelling of the Terrestrial Environment - Georeferencial
1 Spatial Modelling of the Terrestrial Environment - Georeferencial
1 Spatial Modelling of the Terrestrial Environment - Georeferencial
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222 <strong>Spatial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>the</strong> <strong>Terrestrial</strong> <strong>Environment</strong><br />
Figure 10.11c shows <strong>the</strong> values <strong>of</strong> Moran’s I for built-form compactness within each<br />
<strong>of</strong> <strong>the</strong> constellations. These display a similar overall spatial pattern to <strong>the</strong> corresponding<br />
values for built-form area (Figure 10.10c). The absolute range <strong>of</strong> values for Moran’s I is<br />
also similar (−0.37 to 0.34), with an overall mean and SD <strong>of</strong> 0.03 and 0.05, respectively,<br />
such that most <strong>of</strong> <strong>the</strong> constellations exhibit a random spatial distribution <strong>of</strong> built-form<br />
compactness values (Figure 10.11d). Only 12 <strong>of</strong> <strong>the</strong> constellations were found to exhibit<br />
significant positive spatial autocorrelation (i.e., spatial clustering), <strong>of</strong> which eight also<br />
exhibit spatial clustering in terms <strong>of</strong> built-form area (Figure 10.10d). The reasons for this<br />
are thought to be <strong>the</strong> same as those outlined in <strong>the</strong> previous subsection, raised in <strong>the</strong> context<br />
<strong>of</strong> built-form unit area.<br />
10.6 Conclusion<br />
In terms <strong>of</strong> <strong>the</strong> original objective <strong>of</strong> this study, <strong>the</strong> results are largely negative. In particular,<br />
<strong>the</strong>re is little evidence to suggest that a clear and unambiguous relationship exists between<br />
<strong>the</strong> morphological properties and spatial disposition <strong>of</strong> built-form units within urban<br />
constellations and <strong>the</strong> dominant land use that <strong>the</strong>y represent. A number <strong>of</strong> reasons were<br />
suggested to explain why this might be <strong>the</strong> case. First, and most importantly, constellations<br />
defined and delineated in terms <strong>of</strong> closed loops <strong>of</strong> <strong>the</strong> road network frequently contain more<br />
than one type <strong>of</strong> urban land use. The statistics calculated for <strong>the</strong> built-form units within such<br />
constellations are, <strong>the</strong>refore, likely to be complex composites <strong>of</strong> <strong>the</strong>ir constituent land-use<br />
categories. In o<strong>the</strong>r words, <strong>the</strong>y may be thought <strong>of</strong> as defining a mixed structural class<br />
whose properties overlap with those <strong>of</strong> <strong>the</strong> discrete land-use categories <strong>of</strong> which <strong>the</strong>y are<br />
composed. Second, and arising from <strong>the</strong> first point, it is possible that a clear relationship<br />
never<strong>the</strong>less exists at some broader categorization <strong>of</strong> urban land use (e.g. residential versus<br />
commercial/industrial). Evidence to support this assertion is provided by <strong>the</strong> fact that it<br />
is possible to distinguish <strong>the</strong> hospital complex from <strong>the</strong> remaining constellations on <strong>the</strong><br />
basis <strong>of</strong> built-form unit packing and density. Third, but probably least likely, <strong>the</strong> structural<br />
measures used in this study may not be <strong>the</strong> optimum ones to distinguish <strong>the</strong> types <strong>of</strong> land<br />
use present in <strong>the</strong> scene concerned. Despite this, <strong>the</strong> built-form connectivity analysis employed<br />
in this study has helped to provide a deeper insight into <strong>the</strong> spatial organization<br />
<strong>of</strong> built structures within urban areas and has provided a means by which <strong>the</strong> morphology<br />
<strong>of</strong> urban areas can be characterized at very fine spatial scales. In this context, one<br />
could envisage extending <strong>the</strong> spatial and structural measures employed in this investigation<br />
across <strong>the</strong> wider urban fabric to explore how <strong>the</strong>y vary as function <strong>of</strong> constellation<br />
contiguity.<br />
Acknowledgements<br />
The authors would like to acknowledge <strong>the</strong> support <strong>of</strong> <strong>the</strong> U.K. Natural <strong>Environment</strong><br />
Research Council through <strong>the</strong> provision <strong>of</strong> research grant number GR3/10186. The<br />
Ordnance Survey digital map data are reproduced with kind permission <strong>of</strong> <strong>the</strong> Controller<br />
<strong>of</strong> Her Majesty’s Stationery Office, Crown Copyright.