By Enni S.
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Additional info for A 1-(S,T)-edge-connectivity augmentation algorithm
Zhao, R. L. and Li, Z. , Voronoi-based K-order neighbour relations for spatial analysis, ISPRS Journal of Photogrammetry and Remote Sensing, 59(1-2), 60–72, 2004. Christensen, A. , Line generalization by waterline and medial-axis transformation: success and issues in an implementation of Perkel’s proposal, The Cartographic Journal, 26(1), 19–32, 2000. , A pyramidal data structure for triangle-based surface description, IEEE Computer Graphics and Applications, 9(2), 67–78, 1989. , Chen, X. , and Li, Z.
From Chapter 4 on, algorithms for multi-scale spatial representations will be presented. 4. Chapter 4 is dedicated to the multi-scale representation of point features. The elimination of individual point features is an easy operation and there is no need of any algorithm. The displacement of a point feature is similar to displacement of a line or an area feature and will be discussed in Chapter 11, which is dedicated to the topic of displacement. The magnification of a point feature means the enlargement of a small area feature and will be discussed in Chapter 9.
In this table, a point is represented by P(x,y); the term distance in rows 1–3 means the shortest Euclidean distance; the α in row 4 is the slope angle; the ω in row 6 is the angle opposite the side c. In row 7 the N points that form an area should be arranged in a clockwise direction, and the (N + 1)th point means the first point. 2) The unit of d(P1,P2) is a pixel. 414) pixels. This result in decimal form is inconvenient to use in raster; a distance in integer numbers is more desirable and thus normally employed.
A 1-(S,T)-edge-connectivity augmentation algorithm by Enni S.