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Urban land classification and its uncertainties using principal component and cluster analyses: A case study for the UK West Midlands

Owen, S. M. and Mackenzie, Rob and Bunce, R. G. H. and Stewart, Hope and Donovan, R. G. and Stark, G. and Hewitt, C. N. (2006) Urban land classification and its uncertainties using principal component and cluster analyses: A case study for the UK West Midlands. Landscape and Urban Planning, 78 (4). pp. 311-321. ISSN 0169-2046

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    An urban land-cover classification of the 900 km(2) comprising the UK West Midland metropolitan area was generated for the purpose of facilitating stratified environmental survey and sampling. The classification grouped the 900 km(2) into eight urban land-cover classes. Input data to the classification algorithms were derived from spatial land-cover data obtained from the UK Centre for Ecology and Hydrology, and from the UK Ordnance Survey. These data provided a description of each km(2) in terms of the contributions to the land cover of 25 attributes (e.g. open land, urban, villages, motorway, etc.). The dimensionality of the land-cover dataset was reduced using principal component analysis, and eight urban classes were derived by cluster analysis using an agglomeration technique on the extracted components. The resulting urban land-cover classes reflected groupings of 1 km(2) pixels with similar urban land morphology. Uncertainties associated with this agglomerative classification were investigated in detail using fuzzy-type analyses. Our study is the first report of a quantitative investigation of uncertainty associated with a classification of this type. The resulting classification for the UK West Midland metropolitan area offers an impartial basis for a wide range of environmental and ecological surveys. The methods used can be adapted readily to other metropolitan areas where generic urban features (e.g. roads, housing density) are gridded. (c) 2005 Elsevier B.V. All rights reserved.

    Item Type: Journal Article
    Journal or Publication Title: Landscape and Urban Planning
    Uncontrolled Keywords: land classification ; stratified sampling and surveys ; fuzzy analysis of uncertainty ; urban land cover ; GREAT-BRITAIN ; COVER ; PATTERNS ; IMAGES ; AVIRIS ; AREAS ; MODEL ; MAP
    Departments: Faculty of Science and Technology > Lancaster Environment Centre
    ID Code: 598
    Deposited By: Dr Rob MacKenzie
    Deposited On: 31 Jul 2007
    Refereed?: Yes
    Published?: Published
    Last Modified: 21 May 2018 00:11
    Identification Number:

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