Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14691
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dc.contributor.authorJovanov, Stefanen_US
dc.contributor.authorNaumoski, Andrejaen_US
dc.date.accessioned2021-09-15T10:23:28Z-
dc.date.available2021-09-15T10:23:28Z-
dc.date.issued2020-10-22-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/14691-
dc.description.abstractThe World Health Organization recommends that we should walk at least 8000 steps per day, a great way to do that is to hike. Furthermore, we all know that hiking is always eco-friendly which means that hiking to the nearest waterfall or to the nearest mountain peak only grants us health and helps the environment. The Republic of North Macedonia as a country filled with mountains gives the people the perfect opportunity for hiking. By knowing how to choose the closest mountain lodge to our desired destination we are granted the most convenient way to an adventure. For this purpose in our paper we construct a map using ArcGIS software that contains mountain peaks and waterfalls in North Macedonia as well as the mountain lodges in their immediate vicinity. In addition, we conduct more detailed analysis and visualizations using Python and the libraries MatPlotLib, Numpy and Pandas. These analyses are conducted over the heights of the waterfalls and the elevation of the peaks as well as their distance to the mountain lodges. Hiking has always been and will always be a healthy habit that encourages eco-friendly tourism and grants extraordinary adventures.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relationПросторно-податочна анализа со ГИС за продавници и услуги поврзани со здравјето и спортотen_US
dc.subjectArcGIS, Python, North Macedonia, Peaks, Waterfalls, Lodges, Hikingen_US
dc.titleA GIS-based Mapping of Mountain Peaks, Waterfalls and Mountain Lodges in North Macedoniaen_US
dc.typeArticleen_US
dc.relation.conference2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)en_US
dc.identifier.doi10.1109/ismsit50672.2020.9254627-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/9254214/9254218/09254627.pdf?arnumber=9254627-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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