📝 Related papers/other publications
[7] Seong, J. C., Hwang, C. S., Stanescu, A., Lee, Y., & Lee, Y. (2022). What Geographers Research: An Analysis of Geography Topics, Clusters, and Trends Using a Keyword Network Analysis Approach and the 2000-2019 AAG Conference Presentations, International Journal of Geospatial and Environmental Research, 9(1), 1-24. [Link]
[6] Stanescu, A., Seong, J. C., Lee, Y., & Hwang, C. S. (2022). A Picture of Geography Revealed by a Keyword Network Analysis of the 2020 AAG Conference, The Geographical Journal of Korea, 56(3), 177-187. [Link]
[4] Seong, J. C., Ji, S., Stanescu, A., Lee, Y., & Hwang, C. S. (2021). What will be Presented at the 2021 AAG Meeting?, AAG Newsletter. [Link]
[4] Seong, J. C., Hwang, C. S., Stanescu, A., Lee, Y., & Lee, Y. (2020). What will be Presented at the 2020 AAG Meeting?, AAG Newsletter. [Link]
[3] Lee, Y., Lee, Y., Seong, J. C., Stanescu, A., Ji, S. and Hwang, C. S. (2020). 계량적 모델을 통한 지리학 연구의 최신동향 및 토픽 분석 (An Analysis of the Latest Trends and Topics in Geography Research Using Topic Modeling), Journal of the Korean Geographical Society, 55(6), 589-599. [Link]
[2] Lee, Y., Lee, Y., Seong, J. C., Stanescu, A., & Hwang, C. S. (2020). A Comparison of Network Clustering Algorithms in Keyword Network Analysis: A Case Study with Geography Conference Presentations, International Journal of Geospatial and Environmental Research, 7(3), Article 1. [Link]
[1] Lee, Y., Lee, Y., Seong, J. C., Hwang, T., & Hwang, C. S. (2019). Analysis of GIS research trends in the US with AAG conference presentations from 2000-2019. The Geographical Journal of Korea, 53(4), 495-508. [Link]
Fig 1. Word cloud
(Higher frequency keywords appear in larger sizes)
Fig 2. Keywords network
A total of 7,534 abstracts containing “GIS” as a keyword were selected from 95,125 abstracts presented at the AAG (American Association of Geographers) Conference between 2000 and 2019. The dataset consisted of 9,948 unique keywords, with “Spatial,” “Education,” and “Health” emerging as the most dominant themes in GIS-related abstracts (Fig 1). The keyword network visualization shows the keywords whose co-occurrences appear most frequently in the abstracts, with node size representing keyword frequency and edge thickness indicating the strength of their co-occurrence relationships (Fig 2).
The intertopic distance map shows that the abstracts were classified into eight distinct topics. The identified topics are:
Political Ecology
Geospatial Science
Urban Development
Geospatial Visualization
Land Cover Change
Health Geography
Urban Community
Political Geography
Fig 3. Intertopic distance map (IDM)
Fig 4. Keywords network with keywords from 2020 AAG abstracts
Fig 5. Word cloud