Distance and Density of Roads Data

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Using ArcView a value was assigned to each cell corresponding to the distance from the nearest road. A fine grid was also constructed across the study region and the values in the cells were coded with a value 1 if they contained road and 0 otherwize. This fine grid was then aggregated to a 1DM resolution grid where the values in each cell was assigned as the sum of values in the smaller grid. This gave a proxy for road density. The view above shows a classification of distance and density values also created using ArcView.
Source=Bartholomew data


  • The source data generalisation of road curvature is somewhat hidden by the aggregations. It is to be hoped that minor road generalisations in urban areas are coped with by the addition of other data layers.
  • Generally: The denser the road network is the denser the population is; and the further the distance to a road the less dense the population is.
  • Many more road related data layers could be created and used in future models, such as, distance from junctions. The road layer can be broken down into several layers each providing distance and density information for different classes of road.


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    Pages constructed by Andy Turner

    Last Modified
    20th December 1997