Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/8889
Title: Ski Slopes Digitalization and Rating Analysis of Ski Resorts in Mavrovo and Popova Shapka
Authors: Naumoski, Andreja 
Mircheva, Georgina 
Mitreski, Kosta 
Keywords: Ski resorts , ski slopes , digitalization , point density
Issue Date: 2019
Publisher: IEEE
Project: Податочна анализа со ГИС на просторната зависност помеѓу густината на потрошувачите и најразлични услуги и сервиси
Conference: 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Abstract: Winter months are about snow, and there is no greater benefit for people that live in polluted cities to spend some time on high mountains in fresh air and sun. Therefore, the economical developing of location that offers such winter recreational activities is very important. In this direction, this paper aims to use Geographic Information Systems (GIS) to improve the understanding of the relationship between the ski resorts and a user rating of satisfactory opinion through data analysis and digitalization. GIS is a powerful digitalization and analytical tool and most importantly, the users can access the platform from anywhere and anytime. As a case study, we have considered two major ski resorts in our country, as well as rating data for customer satisfaction scores. Furthermore, as a showcase, we have digitalized one ski resorts slope. The results of this research will provide a framework for future analysis and the development of ski tourism. In the future, we plan to advance this further improve the data analysis with other data and advance the decision-making process.
URI: http://hdl.handle.net/20.500.12188/8889
DOI: 10.1109/ISMSIT.2019.8932827
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

Files in This Item:
File Description SizeFormat 
ISMSIT_2019_Naumoski_1.doc1.33 MBMicrosoft WordView/Open
Show full item record

Page view(s)

39
checked on Aug 14, 2022

Download(s)

19
checked on Aug 14, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.