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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Editorial: <strong>Spatial</strong> <strong>Modelling</strong> <strong>of</strong><br />
Urban System Dynamics<br />
Stuart L. Barr<br />
With <strong>the</strong> world’s urban population expected to double between <strong>the</strong> years 2000 and 2020<br />
(Harrison and Pearce, 2000), many urban areas will become increasingly dynamic environments,<br />
experiencing growth that will result in changes in <strong>the</strong>ir social and economic<br />
structure, spatial pattern <strong>of</strong> land use and <strong>the</strong>ir physical appearance. A consequence <strong>of</strong> such<br />
growth will be that an increasing amount <strong>of</strong> <strong>the</strong> Earth’s natural and financial resources<br />
will have to be directed towards urban areas, in order to supply <strong>the</strong> increased demand<br />
for energy, food and water, as well as to provide <strong>the</strong> required housing stock and related<br />
education and health services. Concerns over how to effectively manage such resources, in<br />
order to minimize <strong>the</strong> negative impacts <strong>of</strong> urban growth, have increased <strong>the</strong> awareness that<br />
sustainable urban planning policies need to be adopted that allow resources to be spatially<br />
targeted and managed effectively.<br />
Computational ma<strong>the</strong>matical models <strong>of</strong> urban systems provide one potential mechanism<br />
by which sounder <strong>the</strong>ories <strong>of</strong> sustainable urban development may be developed as <strong>the</strong>y<br />
allow <strong>the</strong> likely effects <strong>of</strong> population growth on <strong>the</strong> physical, functional and socio-economic<br />
structure <strong>of</strong> urban areas to be estimated (Wilson, 2000). Such models, whe<strong>the</strong>r coarse-scale<br />
models <strong>of</strong> urban growth (Batty and Longley, 1994) or small-area level models <strong>of</strong> urban<br />
activity and function, require a range <strong>of</strong> detailed geographically referenced information<br />
for <strong>the</strong>ir initialization, calibration and validation. In many cases, particularly in developed<br />
nations, such information is provided in <strong>the</strong> form <strong>of</strong> national censuses, which <strong>of</strong>ten provide<br />
<strong>the</strong> most complete, consistent and objective information at a single point in time on <strong>the</strong><br />
socio-economic structure <strong>of</strong> urban areas (Wilson, 2000). A number <strong>of</strong> concerns have been<br />
raised, however, in relation to <strong>the</strong> suitability <strong>of</strong> certain national censuses for studying and<br />
modelling urban systems; <strong>the</strong>se include, <strong>the</strong> long time period between censuses (<strong>of</strong>ten<br />
<strong>Spatial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>the</strong> <strong>Terrestrial</strong> <strong>Environment</strong>. Edited by R. Kelly, N. Drake, S. Barr.<br />
C○ 2004 John Wiley & Sons, Ltd. ISBN: 0-470-84348-9.