Geospatial Analysis of Ski Resorts in Central Europe: Evaluating the Attractiveness of an Area Based on Data and GIT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43974865" target="_blank" >RIV/49777513:23520/24:43974865 - isvavai.cz</a>
Result on the web
<a href="https://iccgis2024.cartography-gis.com/papers/9ICCGIS-Proceedings_Paper%20(9).pdf" target="_blank" >https://iccgis2024.cartography-gis.com/papers/9ICCGIS-Proceedings_Paper%20(9).pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Geospatial Analysis of Ski Resorts in Central Europe: Evaluating the Attractiveness of an Area Based on Data and GIT
Original language description
Territory attractiveness assessment uses two basic types of input data. Statistical data are used in studies withadministrative or statistical units (e.g., states, municipalities or NUTS areas). Studies in territorial units with no fixedadministrative boundaries often use socio-economic geography techniques such as field research, questionnaires orinterviews to obtain data. Spatial data and geoinformation technology (GIT) are neglected in most data-drivenassessments of the attractiveness of an area even though they are respected, updated and rich sources of informationand widely used tools. This study aims to demonstrate the importance and benefits of incorporating spatial data andGIT into the data-driven territory attractiveness assessment process. The described research focuses on complementingthe data-driven territory attractiveness assessment methodology with aspects related to spatial data, spatial datamining and GIT. The implications of integrating spatial data and GIT into the process of area attractiveness assessmentare illustrated through a use case that deals with the assessment of ski resorts on the border of Austria, Germany andthe Czech Republic from the perspective of families with children.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Conference on Cartography and GIS Proceedings
ISBN
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ISSN
1314-0604
e-ISSN
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Number of pages
10
Pages from-to
86-95
Publisher name
Bulgarian Cartographic Association
Place of publication
Sofia
Event location
Nessebar, Bulgaria
Event date
Jun 16, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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