주메뉴 바로가기 본문 바로가기

4-Plus 미래국토공간 혁신 교육연구단

송인상

송인상 부교수

Song, Insang

전공
보건지리학 / 시공간모형 / 지오컴퓨테이션 / 응용공간통계
이메일
geoissong@snu.ac.kr
목록보기

학력사항

  • 학사

    서울대학교 사회과학대학 지리학과 (문학사)

  • 석사

    서울대학교 대학원 지리학과 (문학석사)

  • 박사

    미국 University of Oregon 지리학과 (Ph.D)

담당강의

  • 학부과목

    공간정보분석 2: 머신러닝

주요 경력

  • 2024.09. - 현재

    서울대학교 사회과학대학 지리학과 조교수

  • 2024.01. - 2024.08.

    Visiting Fellow, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States

  • 2023.09. - 2024.01.

    Data Analyst, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States

  • 2023.01. - 2023.03.

    Lecturer, Department of Geography, University of Oregon, OR, United States

주요연구업적(Publications)

  • [논문]

  • Song, I., & Luan, H. (2024).

    Localized effects of neighborhood park exposure on mental illness mortality in the Pacific Northwest United States. Applied Geography. 162, 103127.

  • Ransome, Y., Luan, H., Song, I., & Duncan, D.T. (2023).

    Church closings were associated with higher COVID-19 infection rates: Implications for community health equity. Journal of Urban Health.

  • Song, I., & Kim, D. (2023).

    Three common machine learning algorithms neither enhance higher prediction accuracy nor reduce spatial autocorrelation in residuals: An analysis of twenty-five socio-economic data sets. Geographical Analysis 55(4), 585-620. 

  • Nguyễn, C., Song, I., Jung, I., Choi, Y.-J., & Kim, S.-Y. (2023).

    Changes in spatial clusters of cancer incidence and mortality over 15 years in South Korea: implication to cancer control. Cancer Medicine 12(16), 17418-17427. 

  • Song, I., Yoo, E.-H., Jung, I., Choi, Y.-J., & Kim, S.-Y. (2023).

    Role of geographic characteristics in the spatial cluster detection of cancer: evidence in South Korea, 1999-2013. Environmental Research 236, 116841.

  • Kim, D., Song, I., Miralha, L., Hirmas, D.R., McEwan, R.W., Mueller, T.G., & Šamonil, P. (2023).

    Consequences of spatial structure in soil–geomorphic data on the results of machine learning models. Geocarto International 38(1), 2245381.

  • Taggart, T., Ransome, Y., Andreou, A., Song, I., Kershaw, T., & Milburn, N. (2023).

    Utilizing activity space assessments to investigate neighborhood exposure to racism-related stress and related substance use risk among young Black men. American Journal of Public Health 113(S2), S136-S139.

  • Jun, Y.-B., Song, I., Kim, O.-J., & Kim, S.-Y. (2022).

    Impact of limited residential address on health effect analysis of predicted air pollution in a simulation study. Journal of Exposure Science and Environmental Epidemiology 32, 637-643.

  • Song, I., & Luan, H. (2022).

    The spatially and temporally varying association between mental illness and substance use mortality and unemployment: a Bayesian analysis in the contiguous United States, 2001-2014. Applied Geography 140, 102664.

  • Ransome, Y., Luan, H., Song, I., Fiellin, D.A., & Galea, S. (2022).

    Poor mental health days are associated with COVID-19 infection rates in the USA. American Journal of Preventive Medicine 62(3), 326-332.

  • Luan, H., Song, I., Fiellin, D. and Y. Ransome. (2021).

    HIV infection prevalence significantly intersects with COVID-19 infection at the area-level: a USA county-level analysis. Journal of Acquired Immune Deficiency Syndromes 88(2), 125-131.

  • Kim, D. & Song, I. (2021).

    Predicting model improvement by accounting for spatial autocorrelation: A socio-economic perspective. The Professional Geographer 73(1), 131-149.

  • Song, I., Kim, O.-J., Choe, S.-A., & Kim, S.-Y. (2020).

    Spatial heterogeneity in the association between particulate matter air pollution and low birth weight in South Korea. Environmental Research 191, 110096.

  • Park, Y., Song, I., Yi, J., Yi, S.-J., & Kim, S.-Y. (2020).

    Web-based visualization of scientific research findings: national-scale distribution of air pollution in South Korea. International Journal of Environmental Research and Public Health 17(7): 2230.

  • Kim, D., Lee, J.-Y., Seo, J., & Song, I. (2019).

    Recolonization of native and invasive plants after large-scale clearance of a temperate coastal dunefield. Applied Geography 109, 102030.

  • 송인상, 이창로, 박기호. (2018).

    An ensemble machine learning from spatio-temporal Kriging for imputation of PM10 in Seoul, Korea. 대한지리학회지 53(3): 427-444.

  • Kim, S.-Y., & Song, I. (2017).

    National-scale exposure prediction for long-term concentrations of particulate matter and nitrogen dioxide in South Korea. Environmental Pollution 226(2017): 21-29.

  • 송인상, 김선영. (2016).

    미세먼지 (PM10) 의 지역적 대푯값 산정 방법에 관한 연구 -- 서울특별시를 대상으로. 한국지리정보학회지 19(4):

  • Eum, Y., Song, I., Kim, H.-C., Leem, J.-H., & Kim, S.-Y. (2015).

    Computation of geographic variables for air pollution prediction models in South Korea. Environmental Health and Toxicology 30:70-83.

  • [학술발표]

  • Song, I., & Messier, K.P. (2024).

    Development of geospatial parallel processing software tool for large-scale geospatial exposure assessment. ISEE Conference Abstracts 2024(1). Virtual.

  • Song, I., Marques, E., Manware, M., Alifa Kassien, M., Daw, R., Zilber, D., Singh, A., Clark, L., Ward-Caviness, C., & Messier, K.P. (2024).

    Air Pollution Data for the Masses: An Open-Access, Test-Driven, and Reproducible Pipeline PM2.5 Hybrid Model for Epidemiology Applications . ISEE Conference Abstracts 2024(1). Virtual.

  • Song, I., & Luan, H. (2022).

    Matching by multivariate similarity matrix with geographic coordinates: Causal inference of the relationship between residential greenspace and deaths by mental illness. GEOMED 2022. Irvine, CA.

  • Song, I. (2022).

    Spatial difference in the impact of greenspace exposure on mental illness mortality in the Pacific Northwest United States. Association of Pacific Coast Geographers 2022 84th Annual Meeting. Bellingham, WA.

  • Song, I. (2021).

    Does missing mechanism matter?—an evaluation of imputation algorithms for missing mechanisms. 2021 American Association of Geographers Annual Meeting. Virtual.

  • Song, I. (2020).

    Getting time from space: interactive visualization of temporal information from spatial data. 2020 Portland Cartography Symposium. Portland, OR.

  • Song, I., & Kim, S.-Y. (2018).

    A study on the association between two air pollutants (PM10, NO2) and traffic-related variables in 2010. Proceedings of the Korean Society of Atmospheric Environment 2018: 210.

  • Song, I., & Kim S.-Y. (2016).

    Local difference of association between PM10 and low birth weight. Proceedings of the Korean Society of Environmental Health and Toxicology 2016(10):297. (Awarded by the Korean Society of Environmental Health and Toxicology)

  • Song, I., & Kim S.-Y. (2016).

    Estimation of representative areal concentrations of particulate air pollution in Seoul, Korea. 2016 American Association of Geographers Annual Meeting. San Francisco, CA.