Shi, Shaozhong and Charlton, Martin
(2013)
A New Approach and Procedure for
Generalising Vector-Based Maps of Real-World
Features.
GIScience & Remote Sensing, 50 (4).
pp. 473-482.
ISSN 1548-1603
Abstract
This paper presents a new approach and procedure for directly processing vector-based
data sets to generalise maps depicting real-world phenomena. It shows how map
generalisation and seamless matching of the edges of adjacent area features can be
achieved. With this approach, the combined use of selected methods has led to a
ground-breaking novel procedure for vector-based map generalisation guaranteeing
outputting with neither self-intersection nor cross-intersection. The approach employs
turning points and convex hull points as a set of characteristic points. These points
define the shape and characteristics of real-world geographical features with delineating
lines, which have complex rendering layouts, many turnings and inherent subfeatures.
The set of characteristic points are used as splitting points to partition lines
into monotonic chains. Line simplification with an intuitive point reduction technique
using the Douglas–Peucker algorithm is confined within monotonic chains to guarantee
no self-intersection. In addition, the paper describes the most suitable and intuitive
means to deal with gaps and overlaps potentially resulting from cross-intersections
without adding or deleting any anchoring point. Distinctively different from the
approaches of previous studies, the research was undertaken through an iterative
process of exploratory programming, experimentation, validation and testing of results
produced. This process was repeated until an integrated total solution was reached. It
sheds new light on the fields of geocomputation, geographic information systems
(GIS) and digital cartography.
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