Algorithmic Foundation of Multi-Scale Spatial Representation
| Author | : | |
| Rating | : | 4.17 (835 Votes) |
| Asin | : | 0849390729 |
| Format Type | : | paperback |
| Number of Pages | : | 282 Pages |
| Publish Date | : | 2015-10-06 |
| Language | : | English |
DESCRIPTION:
The author also addresses algorithms for individual area features, a class of area features, and various displacement operations. It then examines algorithms for individual line features, such as the reduction of data points, smoothing (filtering), and scale-driven generalization, followed by a discussion of algorithms for a class of line features including contours, hydrographic (river) networks, and transportation networks. With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. After an introduction to the essential operations required for geometric transformations as well as some mathematical and theoretical background, the book describes algorithms for a class of point features/clusters. Emphasizing map generalization, Algorithmic Foundation of Mult
Excellent high level review of the field I've worked with spatial data since 1978 when the primary issues of "computerized mapping" (the term GIS was not yet in popular use) had to do with cartographic presentation. The issues of scale based generalization were a significant challenge, a challenge that has really not been met. What has changed is the retirement of a generation of cartographers who cared and, increasingly, paper maps the