A Spatial Structuration Heuristic for Integrated Automated Map Generalisation with Attribute and Geometry

Citation

Leibovici DG, Swan J, Anand S & Jackson M (2009) A Spatial Structuration Heuristic for Integrated Automated Map Generalisation with Attribute and Geometry. In: Fairbairn D (ed.) Proceedings of the GIS Research UK 17th Annual Conference: 1-3 April 2009, Durham UK. GISRUK 2009 17th Annual Conference, Durham, UK, 01.04.2009-03.04.2009. Durham: University of Durham. http://c3s2i.free.fr/DidierGLeibovici/PaP/GISRUK09.abs.pdf

Abstract
First paragraph: Map Generalization is the process by which coarse scale maps are to be derived from fine scale maps, balancing the amount of real-world information with visual confusion, Robinson et al. (1995). This requires the use of operations such as simplification, selection, displacement and amalgamation of features that are performed subsequent to scale change. Recently, focusing on the attribute values of the geometrical objects, some research has been on thematic maps, Liu et al. (2003), Steiniger and Weibel (2005) and Revell (2007), with application in demographic maps, soil maps, land cover and land use maps. In ecological, public health or epidemiological monitoring, presenting maps to decision makers needs often to be "simplified" for better communication or privacy concerns, Waller and Gotway (2004), Curtis et al. (2006).

Keywords
map generalization; classification; competing algorithm; entropy; thematic maps