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Uncontrolled spatiotemporal changes in large urban areas can produce several problems such as environmental pollution, diminishing valuable agricultural lands; irregular industrialization and urbanization due to number and proportion of residents continue to increase. Recently, to evaluate uncontrolled temporal changes in urban areas, remote sensing and GIS have become important tools, because these techniques allow examination and management large amount of spatial and tabular data which would be impossible using manual interpretation. In this study, to protect limited resources, to prepare sustainable and suitable plans, urban dynamics of the Niğde city was examined and evaluated.

The term 'temporal' in spatial analysis has a number of potential meanings, each of which requires an alternative approach for the provision of analytic support. Much of the present work in spatio-temporal information is concerned with transaction versioning. Object based representations often demand a high level of initial understanding of object relationships. Many GIS users are seeking to understand the object relationships over time, past, present and future; their research focus is how real-world features interact in time and space. Despite this requirement, little present work will support this requirement to understand the drivers of change, rather than simply to report what changed. A number of workers have / are attempting to formalise a theory of spatio-temporal reasoning (eg Hermosilla, 1994, Qian, et al, 1997, Claramunt et al, 1997), in the most part working from a theoretical abstraction. Worboys, 1998, uses a problem oriented approach, as does Halls and Miller (1995, 1996). Representation of change over time by means of spline curves offers possibilities for this type of work, neural networks are explored as an implementation solution. We show that the AURA neural network architecture offers particular hope and that the proposals of Yeh & de Cambray and Halls & Miller need to be recast in terms of the AURA architecture.

In this paper, the author adopts a time-geography approach to examine the temporal variation of urban density by analysing spatial load changes at different times of the day at the communal and community level. The evolution of means of transport coupled with the abandon of the notion of direct proximity to the urban dwelling place provide the basis for this new approach to the study of urban densities. The shift towards spatial specialisation within cities has lead to radical changes in the forms of urban mobility. In just a few generations, cities, formerly highly concentrated centres of population, have evolved into diffuse urban expanses. As a result, the intangible bonds between the dwelling place and the city have progressively disappeared giving way to a temporally-biased perception of urban space determined by existing methods of transport. Density variations have thus been used to measure urban mobility and transport requirements.