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Spatial analysis of the geographic positions of photos taken by tourists enables the monitoring, presentation, and planning of tourism activities in regard to location. Most photo-sharing websites offer the possibility of geo-tagging the photos to provide geographical information. In this paper, we use the geo-coordinates of photos from the Flickr platform to identify the locations of popular tourist attractions and destinations in Slovenia and analyse the mobility patterns of visitors between them. We analysed samples of 210,643 photos taken by 11,555 different Flickr users over a twelve- year period between 2007 and 2018. The results generally show that Slovenia is not an integrated and homogeneous tourism destination than the eastern part of Slovenia, and that there are individual subsystems of destinations with strong centers.

This article seeks to explain passengers’ choice of airport and analyse catchment areas of three airports in the Upper Adriatic region. The Upper Adriatic region is considered as a uniform, territorially and socio-economically integrated region – and as a single multi-airport and cross-border region. The analysed region is also specific in terms of its geographical, political, economic, and social characteristics, since it extends beyond the boundaries of four countries. The analysis of outbound passengers and catchment areas of the Ljubljana Jože Pucnik Airport (LJU), Venice Marco Polo Airport (VCE) and Trieste Ronchi dei Legionari Airport (TRS) draws on a survey conducted in 2011. The analysis includes the records of 1552 surveyed passengers with permanent residence in the region. Characteristics of outbound passengers were analysed separately in terms of sex, age, employment, purpose of travel and mode of transportation to the airport. A spatial analysis of airport catchment areas was conducted using the separate and total distances covered to the selected airport, and the purpose of travel in the empirical model of the relevant airport catchment area.The results suggest that small airports have small primary catchment areas, as over 70% of passengers originate in the immediate proximity of airports.

The study of geomagnetic fields is one of the earliest studies in the field of geosciences. At present, measurement of the geomagnetic field is concerned with answering the fundamental questions about the Earth’s deep interior, mantel conductivity, structure and the thermo-mechanical properties of its crust, its lithosphere and the near-Earth environment. This paper presents a method that addresses the problem of site selection for a new geomagnetic field observatory in the Republic of Slovenia. The method relies on a multi-stage multi-criteria decision model. The Geographic Information System (GIS) was used as a platform enabling the management of the criteria data, spatial analysis, cartographic modelling and production of map layers. Feasible areas were produced using a Boolean overlay, followed by the application of the multi-criteria evaluation (MCE) method on feasible areas to select the best one. Furthermore, preliminary measurements of geomagnetic fields were observed, including the measurement of the total-intensity gradient of the magnetic field vector, the measurement of the geomagnetic field at a basepoint, as well as the absolute and the three component measurements of the geomagnetic field.

This paper deals with the car accessibility of the Slovenian municipalities to the nearest motorway or expressway access point. To this end, we review the accessibility measures used in transport planning strategies and highlight important factors in modelling transport accessibility. Further, an overview of the studies of transport accessibility modelling in Slovenia is presented. The suggested raster model upgrades the current practice of modelling transport accessibility in Slovenia by considering the influence of average traffic volume (congestion), road gradient, and land use density on travel speed. The model results reveal a large disparity in the accessibility among Slovenian municipalities. The paper also compares the proposed model results with the earlier model results. In general, average transport accessibility in Slovenian municipalities did not change in 2009–2013; our model suggested the list of problematic municipalities in border areas similar to the one identified in the earlier models.