Open Access

ARTICLE

Developing Different Models in QGIS for Determining Tourism Climate Comfort Using Remote Sensing and GIS

Efdal Kaya^*

Department of Architecture and Urban Planning, Iskenderun Vocational High School, Iskenderun Technical University, Hatay, 31200, Turkiye

* Corresponding Author: Efdal Kaya. Email:

(This article belongs to the Special Issue: Geospatial Data Quality: Unraveling the Essentials)

Revue Internationale de Géomatique 2025, 34, 103-123. https://doi.org/10.32604/rig.2025.060420

Received 31 October 2024; Accepted 17 January 2025; Issue published 24 February 2025

Abstract

Global warming leads to climate change and hence effects tourism activities. Bioclimatic comfort indices are used to understand the changing climates of outdoor tourism. In this study, the models for the automatic calculation of the tourism climate index (TCI), heat index (HI), and new summer simmer index (NSSI) from bioclimatic comfort indices are used to determine the climatic conditions of outdoor tourism. The study compared the maps generated by the models with those manually created maps in ArcGIS. In order to statistically reveal how accurately the models produced maps, the relationship between the maps obtained from QGIS and ArcGIS software was assessed by linear regression technique. As a result of the regression analysis performed on the data calculated as annual averages, the R² value for all models was 1. The high R² value indicates that there is a very high correlation between three different bioclimatic comfort index maps obtained from QGIS and ArcGIS software. As a result of this situation, these models produced for use in open source QGIS software can be easily used for the evaluation of tourism activities. It has been revealed that the model developed in QGIS can be used without producing maps using formulae in any GIS software. The developed models can be accessed at (accessed on 10 December 2024) in GitHub.

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Keywords

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