Urban sprawl scatterplots for urban morphological zones data

Altieri, L., Cocchi, D., Pezzi, G., Scott, E. M. and Ventrucci, M. (2014) Urban sprawl scatterplots for urban morphological zones data. Ecological Indicators, 36, pp. 315-323. (doi:10.1016/j.ecolind.2013.07.011)

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Abstract

Urban sprawl is defined as an inefficient urban development often linked to sparse building density over rural areas. Routinely available remote sensing data on land cover are useful to study such phenomena, focus is on large raster maps of Urban Morphological Zones (UMZ) produced by the CORINE Land Cover programme of the European Environmental Agency. We present statistical indices to investigate changes in urban size and morphology between sub-regions within a predefined study area and show their implementation with raster data representing UMZ. Urban size is measured by urban land proportion, while morphology is quantified by Moran's I spatial correlation index. These two area-proportionately additive measures allow comparisons between urban size and morphology in sub-regions of different size to be performed. An urban sprawl scatterplot displaying Moran's I vs. urban land proportion is proposed as a tool to compare the urban sprawl level in pre-defined sub-regions with respect to a global average level. This scatterplot allows urban sprawled regions within a map to be identified and also an assessment of whether sprawl is due to augmented urban size or decreased urban compactness. An example of the methods is given for Bologna province, Northern Italy, where the interest is in detecting types of urban sprawl at several spatial scales, i.e. municipalities and unions of municipalities, within the whole province.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Scott, Professor E Marian and Altieri, Miss Linda and Ventrucci, Dr Massimo
Authors: Altieri, L., Cocchi, D., Pezzi, G., Scott, E. M., and Ventrucci, M.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Mathematics and Statistics
Journal Name:Ecological Indicators
Publisher:Elsevier BV
ISSN:1470-160X
ISSN (Online):1872-7034

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