Geographia Technica, Vol 11, Issue no. 2/2016, pp. 69-77
MIXED GROUP HIKERS OPTIMAL RESTING PLACE LOCATION ALONG TRAILS. TEST AREA AT LACU-ROSU REGION (ROMANIA)
Zsolt MAGYARI-SÁSKA, Ștefan DOMBAY
ABSTRACT: Hiking can bring together different people with different fitness level. To not to depart too much from each other resting places should be introduced. In some cases it’s important to know the optimal locations of these places as they can be arranged with benches and tables. Our research focuses on developing a parameterized algorithm which can predict the optimal places of these resting locations. The developed algorithm was implemented in Python and used in QGIS for analyzing five important tourist trails in Lacu-Rosu region. Combining all possible fitness level pairs an inverse weighted method was used to locate the most important places which are suitable for arranged resting locations.
Keywords: trails, hiking, resting location, QGIS, Python, Lacu Rosu
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