The past decade has witnessed the rapid development of geospatial artificial intelligence
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …

This paper presents an approach to automated building grou** and generalization. Three
principles of Gestalt theories, ie proximity, similarity, and common directions, are employed …

This paper presents an algorithm for point cluster generalization. Four types of information,
ie statistical, thematic, topological, and metric information are considered, and measures are …

We present a study on human perception of map complexity, with the objective of better
understanding design decisions that may lead to undesirable levels of complexity in web …

We study the problem of morphing between two polylines that represent linear geographical
features like roads or rivers generalized at two different scales. This problem occurs …

In map generalization, the displacement operation attempts to resolve proximity conflicts to
guarantee map legibility. Owing to the limited representation space, conflicts may occur …

Improving the use of vector data in web map** is often shown as an important challenge.
Such shift from raster to vector web maps would open web map** and GIS to new …

Scale reduction from source to target maps inevitably leads to conflicts of map symbols in
cartography and geographic information systems (GIS). Displacement is one of the most …

The performance of a line simplification algorithm can be different depending on the shape
characteristics of the line data. Methodologies for segmenting a line feature into …

Map generalization seeks to maintain and improve the legibility of a map after the scale has
been changed. Automated map generalization is a necessary technique for the construction …