Simplifying a polygonal subdivision while keeping it simple
SCG '01 Proceedings of the seventeenth annual symposium on Computational geometry
Cartographic Name Placement with Prolog
IEEE Computer Graphics and Applications
Discovery of Spatial Association Rules in Geographic Information Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Spatial Data Mining: A Database Approach
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Algorithms for the placement of diagrams on maps
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Subdue: compression-based frequent pattern discovery in graph data
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Potentialities of chorems as visual summaries of geographic databases contents
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
A chorem-based approach for visually analyzing spatial data
Journal of Visual Languages and Computing
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When dealing with scenarios referring to complex issues, such as political, economic and demographic problems, the usage of visual metaphors represents a more effective approach in supporting users to locate facts and new patterns. In this paper, we describe a research project whose aim is to investigate a cartographic solution able to represent dynamics, movements and changes that underlie possible problems. The solution we propose is based on the chorem concept. It represents an immediate synthesis of data of interest, and provides expert users with both a global view of objects and phenomena, and an insight into a specific issue. Based on preliminary studies, we first provide a formal definition and classification of chorems in terms of structure and meaning, meant to homogenize chorem construction and usage. Then, a system to generate chorematic maps from available data sets is described and an XML-like language, named ChorML is specified, enabling system modules communication. In order to validate our approach, we exemplify the construction of a chorematic map, which depicts the most significant flows of migrating population in Italy in 2000. Such a synthesis may represent the starting point for further processing tasks aimed to derive spatial analysis data, as well as to support expert users in decision making.