Dražen Tutić

This paper describes a new multi-criteria land evaluation method, based on geomorphology and land cover, for the automated detection of suitable terrain for the sport of foot orienteering (footO). Reference data, in the form of areas already mapped and used for footO, was used to define criteria for geomorphology and land cover, and represents an expert knowledge component. The motivation for this research is that orienteering maps are often drawn for unfamiliar terrain that organizers of the event or mapmakers need to determine in advance, usually from base maps or by random reconnaissance. In a presented case study of Croatia and Slovenia, the geomorphology was derived from Digital Elevation Model over Europe (EU-DEM). The slope and aspect define components of the direction of the surface, and we tested the usability of these simple terrain parameters for the task. The CORINE dataset was used for the definition of the land cover. The results of the case study give potentially suitable areas for foot orienteering in Croatia and Slovenia, and in neighboring areas. Evaluation of the results, using reference areas as the control, proved that the proposed methodology gives a reliable indication of terrain suitability for orienteering. The method is simple, straightforward, and can be performed using standard GIS with common raster algorithms.

The paper presents the development of an automated procedure for creating a small-scale world political map from OpenStreetMap (OSM) data, and the map itself. A novel approach was used for cartographic processing, while the fitness for use of OSM data for this task was evaluated. It was anticipated and shown that creating a world political map from OSM data is a methodologically and technologically demanding task. The result was a political map of the world at a scale of 1:30,000,000, showing independent states, dependencies and areas of special sovereignty as in the OSM data set, with no adaptation to specific political recognition issues. A high degree of automation built on open-source software was achieved. The resulting map is an intermediate stage of production, requiring modest manual intervention for the final map. By allocating a code to the community (http://github.com/GEOF-OSGL/OSMPoliticalMap), we have provided opportunities for its continuing development.