IZVLEČEK Kvantitativna kategorizacija planinskih poti na izbranih območjih Kamniško-Savinjskih AlpV prispevku je predstavljena zasnova, izvedba in ovrednotenje geoinformacijsko podprte kvantitativne kategorizacije planinskih poti na izbranem območju. Kategorizacija temelji na kombinaciji kriterijev, opredeljenih glede na naklone 100-metrskih in 5-metrskih odsekov poti ter izpostavljenostjo odsekov poti, opredeljenih na podlagi kombinacije naklona površja in pokrovnosti tal. Poleg kategorizacije smo poiskali tudi nevarne 5-metrske odseke, kjer bi bilo za večjo varnost pohodnikov morda smiselno postaviti varovala. Metodologijo smo preizkusili na dveh območjih v Kamniško-Savinjskih Alpah. V visokogorju se je 12 poti uvrstilo med zelo zahtevne, dve med zahtevne, lahkih poti pa ni bilo. V nižje ležečem delu preučevanega območja je bila ena pot kategorizirana kot lahka pot, tri poti kot zahtevne poti, zelo zahtevnih poti pa ni bilo. V visokogorskem delu preučevanega območja smo prepoznali 189 nevarnih 5-metrskih odsekov planinskih poti. KLJUČNE BESEDE GIS, planinarjenje, digitalni model višin, analiza reliefa, geoinformacijska podpora vrednotenju, kategorizacija planinskih poti ABSTRACT Quantitative categorisation of mountain trails in selected areas in the Kamink-Savinja Alps This paper presents the design, implementation, and evaluation of a geoinformation-based quantitative categorization of mountain trails in study area. The categorization is based on a combination of criteria defined in terms of the slopes of 100 m and 5 m trail segments and the exposure of trail segments defined based on a combination of surface slope and land cover. In addition to categorization, we also looked for dangerous 5-m sections where it might be appropriate to install protective devices to increase hiker safety. The methodology was tested in two areas in the Kamnik-Savinja Alps. In the high mountain area, 12 trails were classified as very difficult, two as difficult and none as easy. In the lower altitude part of the study area, one trail was classified as easy, three trails as difficult and none as very difficult. In the high mountain part of the study area, 189 dangerous 5-m sections of mountain trails were discovered.

Krajevna skupnost pod drobnogledom v prostoru in času Pregled zgodovine slovenske skupnosti v Elyju, Minnesota/Politična participacija slovenskih etničnih skupnosti v ZDA. Študija primerov v Clevelandu, Ohio, in Elyju, Minnesota Priročnik za prepoznavanje in načrtovanje zelene infrastrukture Novi pristopniki v kmetijstvo: uporaba in učinki rezultatov projekta NEWBIE Poročilo delavnice projekta SYStem (Share Your Soils) v Estremaduri

Mountain trail categorisation remains an important piece of information for hikers when selecting a trail and preparing for a hike, despite new developments in trail difficulty assessment and trail recommendation systems and tools. National or regional trail categorisations should maintain a simple, mainly descriptive form to remain a useful guide for the majority of hikers. However, they are often still based on subjective expert assessments of trail difficulty. In this paper, we combine findings from our own empirical research and from the literature to support two arguments: available or obtainable geographical information and GIS -based methods can contribute to the objectivity of mountain trail categorisation, and improved categorisation contributes to increased hiking safety. An experimental GIS-based categorisation of mountain trails in two areas in Slovenia is conducted to support the above arguments. The comparison of the experimental categorisation with the existing official categorisation and the identification of potentially dangerous trail sections support perhaps the most important of the two arguments, namely the potential to improve hiking safety. However, it also stimulates further discussion on the establishment and implementation of an international standard-isation of trail categorisation.

The book Preteklost in prihodnost ('The past and the future') is the sixteenth volume in the GIS v Sloveniji (GIS in Slovenia) book series and commemorates its 30th anniversary. The goal of the volume is to present the wide variety of research findings on geographical information systems in Slovenia in recent years. Powerful geoinformatic tools and precise data facilitate research on processes and phenomena, and their modelling. The volume presents project outputs and research results in areas such as geology, geomorphology, hydrology, pedology, agriculture, natural disasters, environmental protection, geography, surveying, archaeology, transport, telecommunication infrastructure, tourism, cultural heritage, education, cartography, geographical names, remote sensing, and others. Readers discover new features regarding the applicability of geographical information systems and learn about interesting research findings in many areas.