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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • ISSN

    1314-0604

  • e-ISSN

  • 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