Iz časopisa

From the field of cartography and geoinformation, there are journal’s article extracts given which are not cartographic first and whose complete texts are on the Internet, accessible to the members of Croatian academic and research community. Most journals can be accessed through the PERO browser (http://knjiznica.irb.hr/pero/index.php).Dan je izbor članaka iz područja kartografije i geoinformacija iz časopisa, koji nisu u prvom redu kartografski, a kojima su cjeloviti tekstovi dostupni na internetu članovima hrvatske akademske i istraživačke zajednice. Većina časopisa dostupna je preko pretraživača PERO (http://knjiznica.irb.hr/pero/index.php)

Optimizing map labeling of point features based on an onion peeling approach

Map labeling of point features is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the quality. This is a critical problem in the application of cartography and geographical information systems (GIS). In this paper we study the fundamental issues related to map labeling of point features and develop a new genetic algorithm to solve this problem. We adopt a method called convex onion peeling and utilize it in our proposed convex onion peeling genetic algorithm (COPGA) to efficiently manage map labels of point features. The proposed algorithm takes advantage of a convex onion peeling structure to achieve better map label initialization and to enhance the evolutionary process. The performance of the proposed algorithm was evaluated through extensive experiments on both synthetic and real datasets. In experiments with an implementation of our algorithm using OpenMap, the results show that our genetic algorithm, based on convex onion peeling, is an efficient, robust, and extensible algorithm for automated map labeling of point features