GIS-Based Analysis of River Tourism Spatial Patterns in Banjarmasin City and Its Implications for Geography Learning

Authors

  • Eva Nurrahmi Lukman Lambung Mangkurat University Author
  • Annisa Putri Universitas Negeri Padang Author

DOI:

https://doi.org/10.23960/jlg.v7.i2.304

Keywords:

spatial distribution, river tourism, geographic information systems

Abstract

Banjarmasin City, widely known as the “City of a Thousand Rivers,” has developed a distinctive river-based tourism system shaped by its extensive river network, cultural heritage, and waterfront landscapes. This study aims to analyse the spatial distribution pattern of river tourism attractions in Banjarmasin City and examine the geographical factors influencing their distribution. The research employed a quantitative spatial approach by integrating field observations, geographic coordinate data, administrative boundaries, river network data, and tourism information. Spatial data were processed and analysed using Geographic Information Systems and nearest neighbour analysis to identify whether tourism attractions were distributed in clustered, random, or dispersed patterns. The study identified 36 river tourism attractions distributed across Banjarmasin City. The results indicate that river tourism attractions exhibit a clustered spatial pattern, with a nearest neighbour ratio value of 0.62. The concentration of attractions is primarily located along the Martapura River corridor, particularly in areas with high accessibility, supporting tourism infrastructure, historical significance, and strong socio-cultural functions. In contrast, peripheral attractions show more dispersed patterns due to limited connectivity and infrastructure availability. This study contributes to geographic research by demonstrating the application of spatial analysis approaches to understand tourism distribution patterns in river-based urban environments. The findings provide spatial information that can support sustainable tourism planning, destination management, and the development of more balanced river tourism networks in Banjarmasin City.

Downloads

Download data is not yet available.

References

Abbas, E. W., Jumriani, J., Syaharuddin, S., Subiyakto, B., & Rusmaniah, R. (2021). Portrait of tourism based on river tourism in Banjarmasin. The Kalimantan Social Studies Journal, 3(1), 18–26. https://doi.org/10.20527/kss.v3i1.4145

Badan Pusat Statistik Kota Banjarmasin. (2025). Kota Banjarmasin dalam angka 2025. Badan Pusat Statistik Kota Banjarmasin. https://banjarmasinkota.bps.go.id/id/publication/2025/02/28/2529585ee3b8f772cce0a6e4/kota-banjarmasin-dalam-angka-2025.html

Chan, J. K. L., Tay, K. X., & Phang, I. G. (2024). Exploring local community perspectives on the development of river tourism along the Petagas–Putatan River in Sabah, Malaysia. Heliyon, 10(14), e34313. https://doi.org/10.1016/j.heliyon.2024.e34313

Chen, M., Yang, F., Sun, J., Deng, L., & Luo, J. (2024). Spatiotemporal differentiation and driving mechanisms of high-level Grade A tourist attractions in the Yangtze River Delta city cluster. PLOS ONE, 19(5), e0300181. https://doi.org/10.1371/journal.pone.0300181

Clark, P. J., & Evans, F. C. (1954). Distance to nearest neighbor as a measure of spatial relationships in populations. Ecology, 35(4), 445–453. https://doi.org/10.2307/1931034

Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

Esri. (2023). How Average Nearest Neighbor works. Environmental Systems Research Institute. https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-average-nearest-neighbor-spatial-st.htm

Faisal, M., & Hidayah, S. (2023). Galeri terapung yang mengapung: Partisipasi masyarakat dalam pengembangan wisata Kampung Sasirangan Sungai Jingah Kota Banjarmasin. Huma: Jurnal Sosiologi, 2(2). https://doi.org/10.20527/h-js.v2i2.68

Fithri, Z. N., & Syafari, M. R. (2025). Strategy for management and development of river tourism in Banjarmasin. PubBis: Jurnal Pemikiran dan Penelitian Administrasi Publik dan Administrasi Bisnis, 9(2), 231–243. https://doi.org/10.35722/jurnalpubbis.v9i2.1260

Goodchild, M. F. (2018). Geospatial analysis: A comprehensive guide to principles, techniques and software tools (5th ed.). Winchelsea Press.

Hall, C. M., & Page, S. J. (2014). The geography of tourism and recreation: Environment, place and space (4th ed.). Routledge.

Indah Sari, D. N., Sobatnu, F., & Inayah, N. (2019). Sistem informasi geografis jukung pedagang Pasar Terapung Kuin Kota Banjarmasin. Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 3(1), 9–16. https://doi.org/10.31961/eltikom.v3i1.82

Knox, P. L., & McCarthy, L. M. (2012). Urbanization: An introduction to urban geography (3rd ed.). Pearson.

Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2021). Geographic information systems and science (5th ed.). Wiley.

Maulana, R., & Maulina, D. (2025). Analisis prioritas pengembangan kampung wisata pada pinggiran sungai di Kota Banjarmasin. https://doi.org/10.20527/jiep.v7i1.82

Mulidani, M., Santana Purba, H., & Pamuji, R. (2025). Penggunaan Mapbox dalam pengembangan sistem informasi geografis (SIG) pada pemetaan wisata Kota Banjarmasin. Computing and Education Technology Journal. https://ppjp.ulm.ac.id/journals/index.php/cetj/article/view/17124

Novianti, R., Rahman, A., & Prasetyo, T. (2025). Spatial clustering analysis of tourism objects using GIS. Journal of Regional Geography, 12(1), 45–60.

O’Sullivan, D., & Unwin, D. J. (2014). Geographic information analysis (2nd ed.). Wiley.

Pradana, A. (2020). The role of rivers in shaping urban tourism in Banjarmasin. Indonesian Journal of Urban Studies, 8(2), 101–115.

Shu, R., Xiao, J., Yang, Y., & Kong, X. (2023). The evolution of spatiotemporal patterns and influencing factors of high-level tourist attractions in the Yellow River Basin. Frontiers in Earth Science, 11, 1206716. https://doi.org/10.3389/feart.2023.1206716

Smith, M. K. (2018). Issues in cultural tourism studies (3rd ed.). Routledge.

Song, S., Wang, H., & Meng, Y. (2023). Study on spatial pattern of tourism landscape resources in county cities of the Yangtze River Economic Belt. Open Geosciences, 15(1), Article 20220569. https://doi.org/10.1515/geo-2022-0569

Sun, X., Zhang, Y., & Li, H. (2024). Transport-oriented tourism and spatial distribution of waterfront destinations. Journal of Urban Planning and Development, 150(2), 12. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000890

United Nations World Tourism Organization. (2020). Guidelines for sustainable tourism development. UNWTO.

Wang, C., Su, C., Li, Z., & Hu, X. (2023). Waterfront ecotourism quality evaluation under the water ecological challenge in West Strait, China. Frontiers in Environmental Science, 11, 1134905. https://doi.org/10.3389/fenvs.2023.1134905

Wardani, S., & Jamil, R. (2023). Application of GIS in mapping cultural heritage tourism. Journal of Tourism and Heritage, 11(1), 23–37.

Withanage, N. C., Wijesinghe, D. C., Mishra, P. K., Abdelrahman, K., Mishra, V., & Fnais, M. S. (2024). An ecotourism suitability index for a World Heritage City using GIS–multi-criteria decision analysis techniques. Heliyon, 10(11), e31585. https://doi.org/10.1016/j.heliyon.2024.e31585

Zhang, Y., Sun, X., & Li, H. (2023). Geospatial factors influencing clustering of waterfront tourism destinations. Tourism Geographies, 25(4), 567–584. https://doi.org/10.1080/14616688.2023.1987654

Zhu, K., Zhou, Q., Cheng, Y., Zhang, Y., Li, T., Yan, X., Alimov, A., Farmanov, E., & Dávid, L. D. (2023). Regional sustainability: Pressures and responses of tourism economy and ecological environment in the Yangtze River Basin, China. Frontiers in Ecology and Evolution, 11, 1148868. https://doi.org/10.3389/fevo.2023.1148868

Downloads

Published

2026-10-10

How to Cite

GIS-Based Analysis of River Tourism Spatial Patterns in Banjarmasin City and Its Implications for Geography Learning. (2026). Journal Learning Geography, 7(2), 209-224. https://doi.org/10.23960/jlg.v7.i2.304

Similar Articles

1-10 of 12

You may also start an advanced similarity search for this article.