Review article

Geoinformation Generalization by Aggregation

Tomislav Jogun orcid.org/0000-0002-8685-8328 ; University of Zagreb, Faculty of Geodesy, Kačićeva 26, 10000 Zagre
Nada Vučetić ; University of Zagreb, Faculty of Geodesy, Kačićeva 26, 10000 Zagre
Dražen Tutić orcid.org/0000-0001-9336-2892 ; University of Zagreb, Faculty of Geodesy, Kačićeva 26, 10000 Zagre

Abstract

Geoinformation generalization can be divided into model generalization and cartographic generalization. Model generalization is the supervised reduction of data in a model, while cartographic generalization is the reduction of the complexity of map content adapted to the map scale, and/or use by various generalization operators (procedures). The topic of this paper is the aggregation of geoinformation. Generally, aggregation is the joining of nearby, congenial objects, when the distance between them is smaller than the minimum sizes. Most researchers in geoinformation generalization have focused on line features. However, the appearance of web-maps with point features and choropleth maps has led to the development of concepts and algorithms for the generalization of point and polygonal features. This paper considers some previous theoretical premises and actual examples of aggregation for point, line and polygonal features. The algorithms for aggregation implemented in commercial and free GIS software were tested. In the conclusion, unresolved challenges that occur in dynamic cartographic visualizations and cases of unusual geometrical features are highlighted.

Keywords

aggregation; geoinformation generalization; generalization operator; cartographic generalization; GIS; web-maps

Hrčak ID:

179795

URI

https://hrcak.srce.hr/179795

Publication date:

20.12.2016.

Article data in other languages: croatian

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