Lingbo Liu is a Research Associate at the CGA. He was a CGA post-doctoral research fellow, and previously
a lecturer in the Department of Urban Planning, School of Urban Design, Wuhan University, and
a visiting scholar at Harvard CGA. Lingbo leads the Spatial Data Lab project at the CGA, focusing on the
development of advanced geospatial models and an open-source visual programming platform for GeoAI research,
as well as training programs to democratize geospatial data science. His research focuses on the study of healthy
cities,
utilizing advanced geospatial AI models to capture the spatiotemporal features of urban systems. He aims to parse
the
coupling mechanisms of the space-human system to provide decision support for public policy to make cities
healthier.
| Year |
Article |
| 2024 |
Liu, L. 2024.
An ensemble framework for explainable geospatial machine learning models. International Journal of Applied
Earth
Observation and Geoinformation, 132, 104036. https://doi.org/10.1016/j.jag.2024.104036
|
| |
Liu, C., Peng, Z., Liu, L.*, Wu, H., Kinne, J., Cai, M., & Li, S. (2024).
XAI in geographic analysis of innovation: Evaluating proximity factors in the innovation networks of Chinese
technology companies through web-based data. Applied Geograhy, 171, 103373. https://doi.org/10.1016/j.apgeog.2024.103373
|
| |
Liu, L.; Wang, F., Fu, X., Kötter, T., Sturm, K., Guan, W. W., & Bao, S.
(2024).
Elevating the RRE Framework for Geospatial Analysis with Visual Programming Platforms: An Exploration with
Geospatial
Analytics Extension for KNIME. International Journal of Applied Earth Observation and Geoinformation, 130,
103948. https://doi.org/10.1016/j.jag.2024.103948
|
| |
Wang, K., Peng, Z., Cai, M., Wu, H., Liu, L., & Sun, Z. (2024). Coupling
graph neural networks and travel mode choice for human mobility prediction. Physica A: Statistical Mechanics
and
its Applications, 129872. https://doi.org/10.1016/j.physa.2024.129872
|
| |
Wang, S., Huang, X., Liu, P., Zhang, M., Biljecki, F., Hu, T., Fu, X., Liu,
L.,
Liu, X., & Wang, R. (2024). Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI)
in
quantitative human geography: An extensive systematic review. International Journal of Applied Earth
Observation
and Geoinformation, 128, 103734.https://doi.org/10.1016/j.jag.2024.103734
|
| |
Liu, L.; Fu, X.; Kötter, T.; Sturm, K.; Haubold, C.; Guan, W. W.; Bao, S. &
Wang, F.. 2024.
Geospatial Analytics Extension for KNIME. SoftwareX, 25, 101627. https://doi.org/10.1016/j.softx.2023.101627
|
| |
Liu, C.; Peng, Z.; Liu, L.; & Wu, H. 2024. Analysis of Spatiotemporal
Characteristics
and Influencing Factors of Electric Vehicle Charging Based on Multisource Data.
ISPRS International Journal of Geo-Information, 13(2), 37. https://doi.org/10.3390/ijgi13020037. |
| 2023 |
Liu, L.; Alford-Teaster, J.; Onega; T.; Wang, F.. 2023. Refining 2SVCA method
for measuring
telehealth accessibility of primary care physicians in Baton Rouge, Louisiana. Cities, 138: 104364. https://doi.org/10.1016/j.cities.2023.104364
|
| |
Wang, F.; Zeng, Y.; Liu, L.; Onega, T.. 2023. Disparities in spatial
accessibility of primary
care in Louisiana: From physical to virtual accessibility. Frontiers in Public Health, 11:1154574. https://doi.org/10.3389/fpubh.2023.1154574. |
| |
Sun, Z.; Kang, D.; Jiao, H.; Yang Y.; Xue, W.; Wu, H.; Liu, L. ; Su, Y.;
Peng, Z.. 2023. Spatial and Temporal
Evolution of the Characteristics of Spatially Aggregated Elements in an Urban Area: A Case Study of Wuhan,
China. ISPRS International Journal of Geo-Information, 12 (11), 448. https://doi.org/10.3390/ijgi12110448. |
|
Wang, K.; Zhang, L.; Cai, M.; Liu, L.; Wu, H.; Peng, Z. Measuring Urban
Poverty Spatial by
Remote Sensing and Social Sensing Data: A Fine-Scale Empirical Study from Zhengzhou. Remote Sensing. 2023,
15, 381. https://doi.org/10.3390/rs15020381 |
|
Wan, L., Chen, J. *, Wu, H., Su, F., Jiang, Q., Ma, L., Chen, H., Peng, Z., Sun, Z.,
Liu, L.*,
& Chen, L. (2023). Deep learning for inflammatory diseases classification based on reflectance confocal
microscopy. Journal of the American Academy of Dermatology, 88(5), e283–e284. https://doi.org/10.1016/j.jaad.2022.09.043
|
|
Liu, C.; Peng, Z.; Liu, L.; Li, S. Innovation Networks of Science and
Technology Firms:
Evidence from China. Land, 2023, 12, 1283. https://doi.org/10.3390/land12071283 |
| 2022 |
Liu, L.; Yu, H.; Zhao, J.; Wu, H.; Peng, Z.; Wang, R. Multiscale Effects of
Multimodal Public
Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China. ISPRS International
Journal of Geo-Information, 2022. 11(1).https://doi.org/10.3390/ijgi11010057 |
| |
Liu, L.; Wang, R.; Guan, W W.; Bao, S., Yu, H.; Fu, X.; Liu, H. Assessing
Reliability of
Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility. ISPRS International
Journal of Geo-Information, 2022. 11(2).https://doi.org/10.3390/ijgi11020145 |
| |
Wang, K., Sun, Z., Cai, M., Liu, L., Wu, H., & Peng, Z. (2022). Impacts of
Urban Blue-Green
Space on Residents' Health: A Bibliometric Review. International journal of environmental research and
public health, 19(23), 16192. https://doi.org/10.3390/ijerph192316192 |
| |
Chen, L.; Liu, L.; Wu, H.; Peng, Z.; Sun, Z. Change of Residents’ Attitudes
and Behaviors
toward Urban Green Space Pre- and Post- COVID-19 Pandemic. Land 2022, 11, 1051. https://doi.org/10.3390/land11071051 |
| |
Wang, R.; Liu, L.; Wu, H.; Peng, Z. Correlation Analysis between Urban
Elements and COVID-19
Transmission Using Social Media Data. Int. J. Environ. Res. Public Health 2022, 19, 5208. https://doi.org/10.3390/ijerph19095208 |
| 2021 |
Liu, L.; Peng, Z.; Wu, H. Entropy Models and Their Applications in Urban
Studies, City Planning Review.2021,45(12):27-39.
(Chinese,2021) |
| |
Liu, L.; Hu, T.; Bao, S.; Wu, H.; Peng, Z.; Wang, R. The Spatiotemporal Interaction Effect of
COVID-19 Transmission in the United States. ISPRS International Journal of Geo-Information 2021, 10, 387.https://doi.org/10.3390/ijgi10060387 |
| |
Peng, Z.; Ao, S.; Liu, L. *; Bao, S.; Hu, T.; Wu, H.; Wang, R. Estimating
Unreported COVID-19
Cases with a Time-Varying SIR Regression Model. Int. J. Environ. Res. Public Health 2022, 19, 5208. https://doi.org/10.3390/ijerph18031090 |
|
Zhao, J.; Peng, Z.; Liu, L. *; Yu, Y.; Yu, Y. Evaluation on the Internal Public
Space Quality in
Affordable Housing Based on Multi-Source Data and IPA Analysis. Land, 2021. 10(10): p. 1000https://doi.org/10.3390/land10101000 |
| |
Zhao, J.; Peng, Z.; Liu, L.*; Yu, Y.; Shang, Z. Public Space Layout
Optimization in Affordable
Housing Based on Social Network Analysis. Land, 2021. 10(9): p. 955https://doi.org/10.3390/land10090955 |
| |
Peng, Z., Bai, G., Wu, H., Liu, L., & Yu, Y. (2021). Travel mode recognition
of urban residents
using mobile phone data and MapAPI. Environment and Planning B: Urban Analytics and City Science, 48(9),
2574–2589. https://doi.org/10.1177/2399808320983001
|
| |
Sun, Z.; Jiao, H.; Wu, H.; Peng, Z.; Liu, L.. Block2vec: An Approach for
Identifying Urban
Functional Regions by Integrating Sentence Embedding Model and Points of Interest. ISPRS Int. J. Geo-Inf.
2021, 10, 339. https://doi.org/10.3390/ijgi10050339 |
| |
Xiong, X.; Liu, L.; Peng, Z.; Wu, H. Physical Activities in Public Squares:
The Impact of
Companionship on Chinese Residents’ Health. Land 2021, 10, 720. https://doi.org/10.3390/land10070720 |
| 2020 |
Peng, Z.; Wang, R.; Liu, L. *; Wu, H. Exploring Urban Spatial Features of
COVID-19 Transmission
in Wuhan Based on Social Media Data. ISPRS International Journal of Geo-Information 2020, 9, 402. https://doi.org/10.3390/ijgi9120669 |
| |
Hu, T.; Guan, W.W.; Zhu, X.; Shao, Y.; Liu, L., et al. Building an Open
Resources Repository
for COVID-19 Research. Data and Information Management 2020, 4, 130-147.https://doi.org/10.2478/dim-2020-0012 |
| |
Peng, Z.; Wang, R.; Liu, L. *; Wu, H. Fine-Scale Dasymetric Population Mapping
with Mobile
Phone and Building Use Data Based on Grid Voronoi Method. ISPRS International Journal of Geo-Information
2020, 9, 344. https://doi.org/10.3390/ijgi9060344 |
| |
Wang, X., Zhou, Q., He, Y., Liu, L., Ma, X., Wei, X., Jiang, N., Liang, L.,
Zheng, Y., Ma, L.,
Xu, Y., Yang, D., Zhang, J., Yang, B., Jiang, N., Deng, T., Zhai, B., Gao, Y., Liu, W., Bai, X., … Gao, Z.
(2020). Nosocomial outbreak of COVID-19 pneumonia in Wuhan, China. The European respiratory journal, 55(6),
2000544. https://doi.org/10.1183/13993003.00544-2020 |
| |
Liu, L.; Zhong, Y.; Ao, S.; Wu, H. Exploring the Relevance of Green Space and
Epidemic Diseases
Based on Panel Data in China from 2007 to 2016. International Journal of Environmental Research and Public
Health 2019, 16, 2551. https://doi.org/10.3390/ijerph16142551 |
| 2019 |
Liu, L.; Xia, B.; Wu, H.; Zhao, J.; Peng, Z.; Yu, Y. Delimitating the Natural
City with Points
of Interests Based on Service Area and Maximum Entropy Method. Entropy 2019, 21, 458. https://doi.org/10.3390/e21050458 |
| |
Jin, P.; Gao, Y.; Liu, L*.; Peng, Z.; Wu, H. Maternal Health and Green Spaces in China: A
Longitudinal Analysis of MMR Based on Spatial Panel Model. Healthcare 2019, 7, 154. https://doi.org/10.3390/healthcare7040154 |
| |
Liu, L.; Peng, Z.; Wu, H. Classification of POI Natural Cities Scale and
Hierarchy Based on
Head/Tail Breaks, Urban Planning International 2019,3. (Chinese,2019) |
| |
Liu, L.; Hu, T.; Bao, S.; Wu, H.; Peng, Z.; Wang, R. The Spatiotemporal
Interaction Effect of
COVID-19 Transmission in the United States. ISPRS International Journal of Geo-Information 2019, 10, 387. https://doi.org/10.3390/ijgi10060387 |
| |
Peng, Z.; Ao, S.; Liu, L. *; Bao, S.; Hu, T.; Wu, H.; Wang, R. Estimating
Unreported COVID-19
Cases with a Time-Varying SIR Regression Model. International Journal of Environmental Research and Public
Health 2019, 18, 1090. https://doi.org/10.3390/ijerph18051090 |
| Year |
Presentation |
| 2023 |
Lingbo Liu, Refining 2SVCA method for measuring telehealth accessibility of primary care
physicians in Baton Rouge, The Symposium of Spatiotemporal Data Science, Cambridge, MA |
| |
Wendy Guan, Lingbo Liu, Xiaokang Fu, Shuming Bao, Workflow Based Tools for Integrated
Spatiotemporal Research, Annual conference of American Association of Geographers, Denver |
| |
Xiaokang Fu, Lingbo Liu, Meifang Li, Validation, calibration, and estimation of 2SFCA and
i2SFCA. A case study from Shenzhen, China based on online appointment data, Annual conference of American
Association of Geographers, Denver |
| |
Lingbo Liu, Xiaokang Fu, Spatiotemporal Network Analysis of Cities in the Belt and Road
Initiative Countries based on Social Media Mobility Index, Annual conference of American Association of
Geographers, Denver |
| |
Lingbo Liu, GIS Moves Online: An Integrated Solution for Spatiotemporal Research, Teaching and
Applications, Tools of the Trade: The Way Forward, Cambridge, MA |
| 2022 |
Wendy Guan, Lingbo Liu, Tobias Koetter, Geospatial Analytics for All, KNIME Fall Summit |
| |
Wendy Guan, Lingbo Liu, New Release of the Geospatial Extension for KNIME, Harvard CGA, online
|
| |
Lingbo Liu, Introduction to Weibo Mobility Index, Future Data Lab webinar, online |
| |
Lingbo Liu, Fahui Wang, Disparities in Telehealth Accessibility to Primary Care Physicians in
Baton Rouge, Louisiana, The fifth annual Politics and Computational Social Science (PaCSS) conference,
Cambridge, MA |
| 2021 |
Lingbo Liu, Workbook for Quantitative methods and Socioeconomic Applications in GIS, Future
Data Lab webinar, online |
| 2020 |
Lingbo Liu, Wuhan's Rejuvenation Plan for the post-pandemic Era, UN-Habitat-Philippine
Government Local Government Forum, keynote report, online |
| |
Lingbo Liu, Big Data in Epidemic Prevention and Control, UN-Habitat, COVID-19 Wuhan Guidance
Papers, Keynote Report, online |
| |
Lingbo Liu, Workflow-Based Spatial-Temporal Prediction Model and Statistical Analysis of
Pandemic Data, COVID-19 Data Analysis Series Public Webinar, online |
| 2019 |
Lingbo Liu, Recognition of Urban Expansion Patterns in Asia Based on Local Space Entropy, China
Urban Planning Annual Conference, Chongqing |
| 2018 |
Lingbo Liu, Landscape Quality Improvement Strategy of Simeitang Park, UN-Habitat Place Making
Week International Conference, Wuhan |