• Completion of Landscape and Environment Geography mod. A
• Proficiency with PCs, smartphones, and tablets
• Interest in place exploration and human-technology interactions
• PC capable of running QGIS v3.28+

This module develops technical competencies in digital geotechnologies for Tourism Geography. Students will master QGIS for spatial analysis, create interactive narratives using open-source web mapping tools and explore basic AI applications through codeless platforms. The course emphasizes critical evaluation of geospatial technologies within tourism contexts while applying theoretical concepts from Module A to practical problem-solving scenarios.

The course begins with digital mapping foundations, establishing cartographic principles and geospatial data structures using open-source solutions. Students then advance to spatial analysis techniques in QGIS, examining tourist flows, resource management and site suitability through practical exercises. The curriculum progresses to web-based mapping techniques (GSuite applications) and storytelling using tools like StoryMap JS for creating interactive placetelling and tourism narratives. A specialized segment explores AI applications in Geography, focusing on Large Language Models (LLMs) for spatial query processing and codeless Machine Learning platforms for simple predictive tasks in tourism contexts. Throughout the module, theoretical frameworks from Tourism Geography guide technological applications, with continuous examination of ethical implications.

1.     (A) QGIS.org. QGIS Training Manual (official documentation);

2.     (A) Storymap JS Official website and resources;

3.     (A) Documents, Publications and Scientific Articles shared from lectures; 

• Ramos, C. M., & Gomes, M. R. (2018). Gis on Tourism Planning: Preventing the impacts caused by the developing tourism activity in a specific site.
• Ciani, S., Mason, M. C., & Moretti, A. (2019). Geographical indications and tourism destinations: An overview. The Routledge handbook of gastronomic tourism, 527-537.
• Xing W. (2024). Leveraging GIS for sustainable tourism development: A comprehensive spatial approach. In Proceedings of the 2nd International Conference on Machine Learning and Automation. DOI: 10.54254/2755-2721/106/20240911
• Šoltésová, M., Iannaccone, B., Štrba, L., & Sidor, C. (2025). Application of GIS Technologies in Tourism Planning and Sustainable Development: A Case Study of Gelnica. ISPRS International Journal of Geo-Information, 14(3), 120.
• Maymuna, N., Utomowati, R., Noviani, R., & bin Ismail, H. N. (2025). Webgis-Based tourism potential mapping using quantum gis (QGIS). Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(1), 130-143.

• Software: QGIS, StoryMap JS, Kepler.gl
• AI Tools: GPT-4 with geospatial plugins, Google Teachable Machine; Google my maps and Google Earth; Google Sites; 
• Datasets: OpenStreetMap, UNWTO tourism indicators, national geoportals
• Tutorials for codeless ML platforms on course platform

• • Dialogued lectures: Tourism geography case study analyses with geotechnologies (20%)
  • Trainings and Group works: Guided QGIS labs and StoryMap development (60%)
  • AI application workshops using codeless platforms (20%)

• Students have two options:

  1.     Oral presentation of a Practical Project (for students who have attended at least 75% of the classes): Tourism-focused geospatial portfolio with the following features (100%):

  • QGIS spatial analysis of tourist region
  • Interactive StoryMap JS narrative
  • Small AI component (LLM spatial queries and codeless ML experiment)

  OR

  2.     Oral Examination (only for students who have not attended classes): Theoretical discussion of geotechnologies in tourism geography (100%) 

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