Cartographic Line Generalization Based on Radius of Curvature Analysis

A Study of Cartographic Generalization Based on Rough Set Method

This paper introduces how to apply rough set classification and attribute reduction method in map generalization and provides solutions to several special cases arising in the map spatial data processing. Unlike the analysis in the past which focused solely on the attribute data of map, in this paper, rough set attribute decision table specific for the features of map data is created on the bas...

Road Line Classification for Cartographic Generalization: a Neural Net Approach

This work studies the chance of using a neural network for classifying a set of road lines through a supervised learning process, trying to emulate a classification performed by a human expert. Here we present data segmentation, expert classification, data enrichment, and the neural network design, training and validation. The network selected is a feedforward backpropagation type with one hidd...

Visualizing Cartographic Generalization

Map generalization is a complicated and not well-understood process. In order for users to go beyond the simple and arbitrary application of generalization operators, and accompanying tolerance values, to features in databases, visualization techniques must be designed to allow a better understanding of the effects. Through such visualization users can quickly understand, and adjust, their deci...

Cartographic Generalization : Interface Issues

Knowledge Representation of Cartographic Generalization

Data, information and knowledge are the three inseparable levels in info-flow. Data are a serial of descriptions of discrete facts and geospace from the ontological view, which are considered as records in database. Information that conducts user’s viewpoint to specific matter is a collection of facts or data. While knowledge exist in our brains which are the fusion of experience, information a...