{"id":12,"date":"2024-05-02T18:24:45","date_gmt":"2024-05-02T18:24:45","guid":{"rendered":"https:\/\/myweb.fiu.edu\/ljuhasz\/?page_id=12"},"modified":"2024-05-06T15:34:45","modified_gmt":"2024-05-06T15:34:45","slug":"publications","status":"publish","type":"page","link":"https:\/\/myweb.fiu.edu\/ljuhasz\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n
    \n
  1. Juh\u00e1sz, L. <\/strong>(2024). Assessing publication trends in selected GIScience journals. International Journal of Geographical Information Science<\/em>. doi: 10.1080\/13658816.2024.2347306<\/a> \"\"<\/a><\/li>\n\n\n\n
  2. Hochmair, H.H., Juh\u00e1sz, L.,<\/strong> Kemp, T. (under review). Correctness Comparison of ChatGPT-4, Bard, Claude-2, and Copilot for Spatial Tasks. Transactions in GIS<\/em>.  arXiv preprint. doi: 10.48550\/arXiv.2401.02404<\/a><\/li>\n\n\n\n
  3. Juh\u00e1sz, L.;<\/strong> Xu, J.; Parkinson, R.W.  (2023). Beyond the Tide: A Comprehensive Guide to Sea Level Rise Inundation Mapping using FOSS4G. Geomatics<\/em>. 3(4), pp. 522-540. doi: 10.3390\/geomatics3040028<\/a><\/li>\n\n\n\n
  4. Mooney, P., Cui, W., Guan, B., Juh\u00e1sz, L. <\/strong>(2023). Towards Understanding the Geospatial Skills of ChatGPT: Taking a Geographic Information Systems (GIS) Exam. In 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI \u201923)<\/em>, November 13, 2023, Hamburg, Germany<\/em>. ACM, New York, NY, USA. doi: 10.1145\/3615886.3627745<\/a><\/li>\n\n\n\n
  5. Juh\u00e1sz, L., <\/strong>Mooney, P., Hochmair, H.H., Guan, B. (2023). ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs. Spatial Data Science Symposium 2023 Paper Proceedings. <\/em>UC Santa Barbara Center for Spatial Studies. <\/em>doi: 10.25436\/E2ZW27<\/a> <\/li>\n\n\n\n
  6. Juh\u00e1sz, L., <\/strong>Hochmair, H.H.  (2023). Spatial and Temporal Analysis of Location and Usage of Public Electric Vehicle Charging Infrastructure in the United States. GI_Forum<\/em>. 11(1), pp. 83-100. doi:  10.1553\/giscience2023_01_s83<\/a> <\/li>\n\n\n\n
  7. Schrick-Matthews, A., Hochmair H.H., Sternikova, D., Juh\u00e1sz, L. <\/strong>(2023). Bicycle Trips in Endomondo, Google Maps, and MapQuest: A Comparison between South Florida and North Holland. Transportation Letters<\/em>.15(4), pp. 308-320. doi: 10.1080\/19427867.2022.2050494<\/a> <\/li>\n\n\n\n
  8. Juh\u00e1sz, L.<\/strong>, Mooney, P. (2022). \u201cI think I discovered a military base in the middle of the ocean\u201d – Null Island, the most real of fictional places. IEEE Access. <\/em>10.  pp. 84147-84165. doi: 10.1109\/ACCESS.2022.3197222<\/a><\/li>\n\n\n\n
  9. Hochmair, H.H., Benjamin, A., Gann, D., Juh\u00e1sz, L.<\/strong>, Olivas, P., Fu, Z.J. (2022). Change Analysis of Urban Tree Canopy in Miami-Dade County. Forests<\/em>. 13(6): 949. doi: 10.3390\/f13060949<\/a><\/li>\n\n\n\n
  10. Grinberger, A.Y., Minghini, M., Juh\u00e1sz, L.<\/strong>, Mooney, P., Yeboah, G. (2022). Bridges and Barriers: An Exploration of Engagements of the Research Community with the OpenStreetMap Community. ISPRS International Journal of Geo-Information. <\/em>11(1): 54. doi: 10.3390\/ijgi11010054<\/a><\/li>\n\n\n\n
  11. Mooney, P., & Juh\u00e1sz, L.<\/strong> (2022). Null Island – a node of contention in OpenStreetMap. In: Minghini, M., Liu, P., Li, H., Grinberger, A.Y., & Juh\u00e1sz, L. (Eds.). Proceedings of the Academic Track at State of the Map 2022<\/em>. (pp. 23-25). Florence, Italy, 19-21 August 2022. doi: 10.5281\/zenodo.7004488<\/a><\/li>\n\n\n\n
  12. Fu, Z., Juh\u00e1sz, L<\/strong>., Krefft, J., Ter-Ghazaryan, D., Guan, B. (2022). Library-Based  Data Curation, Management and Interdisciplinary Research at Florida International University: Reciprocal Use of Data through Collaboration. Proceedings of the 42nd IAUTL Conference<\/em>. Miami, FL<\/li>\n\n\n\n
  13. Mooney, P., Grinberger, A. Y., Minghini, M., Coetzee, S., Juh\u00e1sz, L.<\/strong>, & Yeboah, G. (2021). OpenStreetMap Data Use Cases During the Early Months of the COVID-19 Pandemic. In: Rajabifard, Foliente & Paez (Eds.), COVID-19 Pandemic, Geospatial Information, and Community Resilience \u2013 Global Applications and Lessons<\/em>. CRC Press (Taylor & Francis) (pp. 171-185) doi: 10.1201\/9781003181590-15<\/a><\/li>\n\n\n\n
  14. Kovacs-Gy\u00f6ri, A., Ristea, A., Havas, C., Mehaffy, M., Hochmair, H., Resch, B., Juh\u00e1sz, L.<\/strong>, Lehner, A., Ramasubramanian, L., Blaschke, T. (2020). Opportunities and challenges of geospatial analysis for promoting urban livability in the era of big data and machine learning. ISPRS International Journal of Geo-Information. <\/em>9(12): 752. ; doi: 10.3390\/ijgi9120752<\/a><\/li>\n\n\n\n
  15. Juh\u00e1sz, L.<\/strong> (2021). Towards understanding the temporal accuracy of OpenStreetMap: A quantitative experiment. In: Minghini, M., Ludwig, C., Anderson, J., Mooney, P., Grinberger, A.Y., (Eds.). Proceedings of the Academic Track at the State of the Map 2021<\/em> (pp. 19-22). Online Conference, doi: 10.5281\/zenodo.5112236  <\/a><\/li>\n\n\n\n
  16. Spiegelhalter, T., Juh\u00e1sz, L.,<\/strong>  Namuduri, S. (2021). Genetic Water-Energy-Food Nexus Design Research for Miami\u2019s Greater Islands \u2013 Climate Resilient Urban Nexus Choices (CRUNCH). Proceedings of the 27th World Congress of Architects.<\/em> Vol. 2. (pp. 994 \u2013 998). Rio de Janeiro, Brazil.<\/li>\n\n\n\n
  17. Juh\u00e1sz, L.,<\/strong> Hochmair, H.H., Aguilar de Santana, S., Fu, Z. (2020). Sea Level Rise Impact Assessment Tool \u2013 A Web-Based Application for Community Resilience in Coral Gables, Florida. International Journal of Spatial Data Infrastructures Research<\/em>. 15(1): pp. 36-55. doi: 10.2902\/1725-0463.2020.15.art2<\/a><\/li>\n\n\n\n
  18. Mooney, P., Juh\u00e1sz, L.<\/strong> (2020). Mapping COVID-19: How online maps contribute to the infodemic. Dialogues in Human Geography. <\/em>10(2): pp. 265 – 270 . doi: 10.1177\/2043820620934926<\/a><\/li>\n\n\n\n
  19. Juh\u00e1sz, L.<\/strong>, Novack, T., Hochmair, H.H., Qiao, S. (2020). Cartographic Vandalism in the Era of Location-Based Games\u2014The Case of OpenStreetMap and Pok\u00e9mon GO.  ISPRS International Journal of Geo-information.<\/em> 9(4): 197. doi: 10.3390\/ijgi9040197<\/a><\/li>\n\n\n\n
  20. Juh\u00e1sz, L.,<\/strong> Hochmair H.H. (2020). Studying Spatial and Temporal Visitation Patterns of Points of Interest Using SafeGraph Data in Florida. GI_Forum. <\/em>8(1): pp. 119-136. doi: 10.1553\/giscience2020_01_s119<\/a><\/li>\n\n\n\n
  21. Spiegelhalter, T., Andia, A., Juh\u00e1sz, L.,<\/strong> Namuduri, S. (2020). Generative and Synthetic Biological Design Imaginations for the Miami Bay Area. In: Werner, L.C., Koering, D. (Eds.) Anthropologic \u2013 Architecture and Fabrication in the cognitive age \u2013 Proceedings of the 38<\/em>th<\/sup><\/em> International Online Conference on Education and Research in Computer Aided Architectural Design in Europe <\/em>(pp. 11-20) Berlin: eCAADe<\/li>\n\n\n\n
  22. Mohammad, M.H., Juh\u00e1sz, L.<\/strong>, Southworth, J. (2019). Mapping Time-Space Brickfield Development Dynamics in Peri-Urban Area of Dhaka, Bangladesh. ISPRS International Journal of Geo-Information. <\/em>8(10):447. doi: 10.3390\/ijgi8100447<\/a><\/li>\n\n\n\n
  23. Juh\u00e1sz, L.<\/strong>, Hochmair, H.H. (2019). Comparing the Spatial and Temporal Activity Patterns between Snapchat, Twitter, and Flickr in Florida. GI_Forum<\/em>. 7(1): pp. 134-147. doi: 10.1553\/giscience2019_01_s134<\/a><\/li>\n\n\n\n
  24. Matthews, A., Hochmair, H.H., Strelnikova, D., Juh\u00e1sz, L.<\/strong> (2019). Comparing the Characteristics of Bicycle Trips between Endomondo, Google Maps, and MapQuest. Transportation Research Board \u2013 98th Annual Meeting,<\/em> Washington, D.C.<\/li>\n\n\n\n
  25. Grinberger, A.Y., Minghini, M., Juh\u00e1sz, L.<\/strong>, Mooney, P., Yeboah, G. (2019). Bridging the Map? Exploring Interactions between the Academic and Mapping Communities in OpenStreetMap. In: Minghini, M., Grinberger, A.Y., Juh\u00e1sz, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019 <\/em>(pp. 1-2). Heidelberg, Germany, 21-23 September, 2019.  doi: 10.5281\/zenodo.3408639<\/a><\/li>\n\n\n\n
  26. Hochmair, H.H., Juh\u00e1sz, L.<\/strong> (2019). Analysis of Flickr, Snapchat, and Twitter use for the modeling of visitor activity in Florida State Parks. In: Kyriakidis, P., Hadjimitsis, D., Skarlatos, D. & Mansourian, A. (Eds.) Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo-information Science<\/em>. Cyprus University of Technology 17-20 June 2019, Limassol, Cyprus<\/li>\n\n\n\n
  27. Juh\u00e1sz, L.<\/strong>, Hochmair, H.H., Qiao, S., Novack, T. (2019). Exploring the Effects of Pok\u00e9mon Go Vandalism on OpenStreetMap. In: Minghini, M., Grinberger, A.Y., Juh\u00e1sz, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019 <\/em>(pp. 3-4). Heidelberg, Germany, 21-23 September, 2019.  doi: 10.5281\/zenodo.3386533<\/a><\/li>\n\n\n\n
  28. Juh\u00e1sz, L.<\/strong>, Hochmair, H.H. (2018). OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami. ISPRS International Journal of Geo-Information<\/em>. 7 (3): 113. doi: 10.3390\/ijgi7030113<\/a><\/li>\n\n\n\n
  29. Hochmair, H.H., Juh\u00e1sz, L<\/strong>., and Cvetojevic, S. (2018). Data Quality of Points of Interest in Selected Mapping and Social Media Platforms. In: Kiefer P., Huang H., Van de Weghe N., Raubal M. (Eds.) Progress in Location Based Services 2018. LBS 2018. Lecture Notes in Geoinformation and Cartography<\/em> (pp. 293-313) Berlin: Springer. doi: 10.1007\/978-3-319-71470-7_15<\/a><\/li>\n\n\n\n
  30. Juh\u00e1sz, L.,<\/strong> Hochmair, H.H. (2018). Cross-checking user activities in multiple geo-social media networks. In: Mansourian, A., Pilesj\u00f6, P., Harrie, L., & von Lammeren, R. (Eds.) Geospatial Technologies for All : Short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science<\/em>. Lund University 12-15 June 2018, Lund, Sweden<\/li>\n\n\n\n
  31. Juh\u00e1sz, L.<\/strong>, Hochmair, H.H. (2018). Analyzing the spatial and temporal dynamics of Snapchat. VGI-ALIVE Pre-Conference Workshop at AGILE 2018.<\/em> 12 June 2018. Lund, Sweden.<\/li>\n\n\n\n
  32. Juh\u00e1sz, L.,<\/strong> Hochmair, H.H. (2017). Where to catch \u2018em all? \u2013 a geographic analysis of Pok\u00e9mon Go locations. Geo-spatial Information Science<\/em>. 20(3): pp. 241-251. doi: 10.1080\/10095020.2017.1368200<\/a><\/li>\n\n\n\n
  33. Juh\u00e1sz, L.,<\/strong> Hochmair, H.H. (2017). How do volunteer mappers use crowdsourced Mapillary street level images to enrich OpenStreetMap?  In: Bregt, A., Sarjakoski, T., Lammeren, R. van, Rip, F. (Eds.) Societal Geo-Innovation : short papers, posters and poster abstracts of the 20th AGILE Conference on Geographic Information Science<\/em>. Wageningen University & Research 9-12 May 2017, Wageningen, The Netherlands<\/li>\n\n\n\n
  34. Juh\u00e1sz, L.<\/strong>, Rousell, A., Jokar Arsanjani, J. (2016). Technical Guidelines to Extract and Analyze VGI from Different Platforms. Data<\/em>. 1(3):15. doi: 10.3390\/data1030015<\/a><\/li>\n\n\n\n
  35. Cvetojevic, S., Juh\u00e1sz, L.<\/strong> and Hochmair H.H. (2016). Positional Accuracy of Twitter and Instagram Images in Urban Environments. GI_Forum<\/em>, 4(1): pp. 191-203. doi: 10.1553\/giscience2016_01_s191<\/a><\/li>\n\n\n\n
  36. Juh\u00e1sz, L<\/strong>., Hochmair, H.H. (2016). User Contribution Patterns and Completeness Evaluation of Mapillary, a Crowdsourced Street Level Photo Service. Transactions in GIS<\/em>. 20 (6): pp. 925\u2013947  doi: 10.1111\/tgis.12190<\/a><\/li>\n\n\n\n
  37. Juh\u00e1sz, L.,<\/strong> Hochmair, H.H. (2016). Cross-linkage between Mapillary Street Level Photos and OSM Edits. In: T. Sarjakoski, M. Y. Santos, L. T. Sarjakoski (Eds.), Geospatial Data in a Changing World \u2013 Lecture Notes in Geoinformation and Cartography<\/em> (pp. 141-156). Berlin: Springer. doi: 10.1007\/978-3-319-33783-8_9<\/a><\/li>\n\n\n\n
  38. Juh\u00e1sz, L.<\/strong>, Podolcs\u00e1k, \u00c1., Dolleschall, J. (2016). Open Source Web GIS Solutions in Disaster Management \u2013 with Special Emphasis on Inland Excess Water Modeling. Journal of Environmental Geography<\/em>, 9 (1\u20132): pp. 15\u201321. doi: 10.1515\/jengeo-2016-0003<\/a><\/li>\n\n\n\n
  39. Juh\u00e1sz, L.,<\/strong> Hochmair, H.H. (2015). Exploratory Completeness Analysis of Mapillary for Selected Cities in Germany and Austria. GI_Forum. <\/em>3(1): <\/em>pp. 535-545.  doi: 10.1553\/giscience2015s535<\/a><\/li>\n<\/ol>\n\n\n\n

    Other publications and technical reports (not peer-reviewed)<\/strong><\/p>\n\n\n\n

      \n
    1. Grinberger, A.Y., Liu, P., Li, H., Juh\u00e1sz, L.<\/strong>, & Minghini, M. (2022). OpenStreetMap, beyond just Data: The Academic Track at State of the Map 2022 (Editorial). In: Minghini, M., Liu, P., Li, H., Grinberger, A.Y., & Juh\u00e1sz, L. <\/strong>(Eds.). Proceedings of the Academic Track at State of the Map 202<\/em>2, Florence, Italy, 19-21 August 2022. doi: 10.5281\/zenodo.7004424<\/a><\/li>\n\n\n\n
    2. Grinberger, A.Y., Minghini, M., Juh\u00e1sz, L.<\/strong>, Yeboah, G., Mooney, P. (2022). Editorial: OSM Science \u2013 the Academic Study of the OpenStreetMap Project, Data, Contributors, Community, and Applications. ISPRS International Journal of Geo-Information<\/em>. 11(4): 230. doi: 10.3390\/ijgi11040230<\/a> <\/li>\n\n\n\n
    3. Hochmair, H. H., Benjamin, A., Gann, D., Juh\u00e1sz, L.<\/strong>, Olivas, P. C., & Fu, Z. (2021). Miami-Dade County Urban Tree Canopy Analysis. Final report prepared for Miami-Dade County and American Forests. doi: 10.25148\/GIS.009116<\/a>  <\/li>\n\n\n\n
    4. Minghini, M., Coetzee, S., Grinberger, A.Y., Yeboah, G., Juh\u00e1sz, L.<\/strong>, Mooney, P. (2020) Editorial: OpenStreetMap research in the COVID-19 era. In: Minghini, M., Coetzee, S., Juh\u00e1sz, L., Yeboah, G., Mooney, P., & Grinberger, A. Y. (Eds.). Proceedings of the Academic Track at the State of the Map 2020. <\/em>Online Conference, <\/em>July 4-5, 2020.  doi: 10.5281\/zenodo.3922054<\/a><\/li>\n\n\n\n
    5. Szatm\u00e1ri, J., Kov\u00e1cs, F., van Leeuwen, B., Tobak, Z., Mez\u0151si, G., Mucsi, L., Juh\u00e1sz, L.<\/strong>, Husz\u00e1r, T., Kitka, G. (2014) T\u00e9rinformatika a katasztr\u00f3fav\u00e9delem szolg\u00e1lat\u00e1ban (GIS for disaster management). In: M\u00e1rkus, B (Ed.) T\u00e9rinformatika 2014: 20 \u00e9ves a T\u00e9rinformatika Tansz\u00e9k<\/em>. (pp. 375-390) Sz\u00e9kesfeh\u00e9rv\u00e1r, Hungary (In Hungarian)<\/li>\n<\/ol>\n\n\n\n

      Datasets & Software<\/strong><\/p>\n\n\n\n

        \n
      1. Juh\u00e1sz, L.<\/strong> (2023). HomeRangeToolbox: v0.1 (ArcGIS Pro Toolbox to Compute Home-Ranges). Archived on Zenodo. doi: 10.5281\/zenodo.7527682<\/a><\/li>\n\n\n\n
      2. Hochmair, H.H., Benjamin, A., Gann, D., Juh\u00e1sz, L<\/strong>., Olivas, P. & Fu, Z. (2021). Miami-Dade County Land Cover Map. FIU Research Data Portal<\/em>. doi: 10.34703\/gzx1-9v95\/HK3EJK<\/a><\/li>\n\n\n\n
      3. Hochmair, H.H., Benjamin, A., Gann, D., Juh\u00e1sz, L.<\/strong>, Olivas, P. & Fu, Z. (2021). Areal Statistics of Urban Tree Canopy for the Miami-Dade Urban Area 2020. FIU Research Data Portal<\/em>. doi: 10.34703\/gzx1-9v95\/1WWUEM<\/a><\/li>\n<\/ol>\n\n\n\n

        Edited Volumes<\/strong><\/p>\n\n\n\n

          \n
        1. Minghini, M., Liu, P., Li, H., Grinberger, A.Y., & Juh\u00e1sz, L.<\/strong> (Eds.). Proceedings of the Academic Track at State of the Map 2022, Florence, Italy, 19-21 August 2022. Available at https:\/\/zenodo.org\/communities\/sotm-22<\/a> <\/li>\n\n\n\n
        2. Minghini, M., Coetzee, S., Grinberger, A.Y., Juh\u00e1sz, L.<\/strong>, Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2020. Online Conference, July 4-6, 2020<\/li>\n\n\n\n
        3. Minghini, M., Grinberger, A.Y., Juh\u00e1sz, L.<\/strong>, Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019. Heidelberg, Germany, September 21-23, 2019<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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