The 'Stroke' concept in geographic network generalization and analysis

Abstract

Strokes are relatively simple linear elements readily perceived in a network. Apart from their role as graphical elements, strokes reflect lines of flow or movement within the network itself and so constitute natural functional units. Since the functional importance of a stroke is reflected in its perceived salience this makes strokes a suitable basis for network generalization, through the preferential preservation of salient strokes during data reduction. In this paper an exploration of the dual functional-graphical nature of strokes is approached via a look at perceptual grouping in generalization. The identification and use of strokes are then described. The strengths and limitations of stroke-based generalization are discussed; how the technique may be developed is also considered. Finally, the functional role of strokes in networks is highlighted by a look at recent developments in space syntax and related studies. © 2006 Springer-Verlag Berlin Heidelberg.