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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Fangzheng Lyu, PhD
About me
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Posts
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
publications
[1] Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter
Published in PEARC19, 2019
Padmanabhan, A., Yin, D., Lyu, F., Wang, S. (2019). Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines learning. Association for Computing Machinery, New York, NY, USA, Article 95, 1–3.
[2] Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA
Published in PEARC19, 2019
Lyu, F., Yin, D., Padmanabhan, A., Choi, Y., Goodall, J., Castronova, A., Tarboton, D., Wang, S. (2019). Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines learning. Association for Computing Machinery, New York, NY, USA, Article 95, 1–3.
[3] Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA
Published in International Journal of Health Geographics, 2020
Kang, JY., Michels, A., Lyu, F., Wang, S. Agbodo, N., Freeman, V., Wang, S. (2020). Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. International Journal of Health Geographics 19, 36 (2020).
[4] Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics
Published in Urban Informatics. The Urban Book Series., 2021
Wang, S., Lyu, F., Wang, S., Catlett, C., Padmanabhan, A., Soltani, K. (2021). Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics. In: Shi, W., Goodchild, M.F., Batty, M., Kwan, MP., Zhang, A. (eds) Urban Informatics. The Urban Book Series. Springer, Singapore.
[5] Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19
Published in Mapping COVID-19 in Space and Time. Human Dynamics in Smart Cities., 2021
Lyu, F., Kang, JY., Wang, S., Han, S.Y., Li, Y., Wang, S. (2021). Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19. In: Shaw, SL., Sui, D. (eds) Mapping COVID-19 in Space and Time. Human Dynamics in Smart Cities. Springer, Cham.
[6] A vector-based method for drainage network analysis based on LiDAR data
Published in Computers & Geosciences, 2021
Lyu, F., Xu, Z., Ma, X., Li, Z., Wang, S. (2021). A vector-based method for drainage network analysis based on LiDAR data. Computers & Geosciences Volume 156, 2021, 104892, ISSN 0098-3004.
[7] A deep trajectory clustering method based on sequence-to-sequence autoencoder model
Published in Transactions in GIS, 2022
Wang, C., Lyu, F., et al. (2022). A deep trajectory clustering method based on sequence-to-sequence autoencoder model. Transactions in GIS, 00, 1– 20.
[8] CyberGIS for Scalable Remote Sensing Data Fusion
Published in PEARC22, 2022
Lyu, F., Yang, Z., Xiao, Z., Diao, C.,Park, J., Wang, S. (2022). CyberGIS for Scalable Remote Sensing Data Fusion. In Proceedings of the Practice and Experience in Advanced Research Computing. Association for Computing Machinery, New York, NY, USA, Article 35, 1–4. https://doi.org/10.1145/3491418.3535145
[9] Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model
Published in International Journal of Applied Earth Observation and Geoinformation, 2022
Wu, S., Qi, Jin., Yan, Z., Lyu, F., Lin, T., Wang, Y., Du, Z. (2022). Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model. International Journal of Applied Earth Observation and Geoinformation Volume 112, 2022, 102897, ISSN 1569-8432, https://doi.org/10.1016/j.jag.2022.102897
[10] An Integrated CyberGIS and Machine Learning Framework for Fine‐Scale Prediction of Urban Heat Island Using Satellite Remote Sensing and Urban Sensor Network Data
Published in Urban Informatics, 2022
Lyu, F., Wang, S., Han, S., Wang, S. (2022). An Integrated CyberGIS and Machine Learning Framework for Fine‐Scale Prediction of Urban Heat Island Using Satellite Remote Sensing and Urban Sensor Network Data. Urban Informatics 1, 6. https://doi.org/10.1007/s44212-022-00002-4
[11] Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks
Published in ISPRS International Journal of Geo-Information, 2022
Chen, X., Wang, S., Li, H., Lyu, F., Liang, H., Zhang, X., Zhong, Y. (2022). Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks. ISPRS International Journal of Geo‑Information. 2022; 11(10):514. DOI: 10.3390/ijgi11100514
[12] Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case‑fatality ratio of COVID‑19 in the state of Texas, USA.
Published in Applied Geography, 2023
Park, J., Michels, A., Lyu, F., Han, S., Wang, S. (2023). Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case‑fatality ratio of COVID‑19 in the state of Texas, USA. Applied Geography, 102929, ISSN 0143‑6228, https://doi.org/10.1016/j.apgeog.2023.102929.
[13] Examine the environmental inequity impact of urban heat mitigation on redlining legacy: case study of Charlotte’s retrofitting, 2001–2020
Published in Frontiers in Environmental Science, 2023
Li, X., Ma, X., Lyu, F., and Song, Y. (2023). Examine the environmental inequity impact of urban heat mitigation on redlining legacy: case study of Charlotte’s retrofitting, 2001–2020. Frontiers in Environmental Science, 11, 1218819. https://doi.org/10.3389/fenvs.2023.1218819
[14] From the coast to the interior: global economic evolution patterns and mechanisms
Published in Humanities and Social Sciences Communications, 2023
Jin, X., Yang, J., Yue, W., Wang, S., Yang, D., Xiao, X., Xue, B., Dou, Y., Lyu, F., Wang, S. (2023). From the coast to the interior: global economic evolution patterns and mechanisms. Humanities and Social Sciences Communications, 10, 723. https://doi.org/10.1057/s41599-023-02234-4
[20] A Convergence Framework for Integrating CyberGIS Education and Research on I-GUIDE Platform
Published in I-GUIDE Forum, 2023
Lyu, F., Baig, F., Kang, Y., Li, E., Padmanabhan, A., Wang, S. (2024). A Convergence Framework for Integrating CyberGIS Education and Research on I-GUIDE Platform. I-GUIDE Forum. DOI: 10.5703/1288284317798
[15] A cyberGIS approach to exploring neighborhood‐level social vulnerability for disaster risk management
Published in Transactions in GIS, 2023
Su, H., Kang, J., Lyu, F., Baig, F., Smilovsky, D., Park, J., Wang, S. (2023). A cyberGIS approach to exploring neighborhood‐level social vulnerability for disaster risk management. Transactions in GIS. 27, 1942–1958. https://doi.org/10.1111/tgis.13106
[16] Large‐scale Google Street View Images for Urban Change Detection
Published in I-GUIDE Forum, 2023
Lyu, F., Ma, X., Song, Y., Zhu, E., Wang, S. (2023). Large‐scale Google Street View Images for Urban Change Detection. I-GUIDE Forum. DOI: 10.5703/1288284317674
[17] Mapping dynamic human sentiments of heat exposure with location-based social media data
Published in International Journal of Geographical Information Science, 2024
Lyu, F., Zhou, L., Park, J., Baig, F., Wang, S. (2024). Mapping dynamic human sentiments of heat exposure with location-based social media data. International Journal of Geographical Information Science, 1–24. https://doi.org/10.1080/13658816.2024.2343063
[18] From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent-Based Modeling for Large-Scale Disease Spread
Published in Sustainability, 2024
Song, Z., Zhang, Z., Lyu, F., Bishop, M., Liu, J., Chi, Z. (2024) From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent‑Based Modeling for Large‑Scale Disease Spread. Sustainability. 16(12):5036. DOI: 10.3390/su16125036
[19] NetPointLib: Library for Large-Scale Spatial Network Point Data Fusion and Analysis
Published in PEARC24, 2024
Kang, Y., **Lyu, F., Wang, S. (2024) NetPointLib: Library for Large-Scale Spatial Network Point Data Fusion and Analysis. In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (PEARC24). Association for Computing Machinery, New York, NY, USA, Article 43, 1–4. https://doi.org/10.1145/3626203.3670615
talks
Fine-Scale Prediction of Urban Heat Island Using Satellite Remote Sensing and Urban Sensor Network Data
Published:
An integrated cyberGIS and machine learning framework for fine‑scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data
Published:
An Integrated CyberGIS and Machine Learning Framework for Fine‑scale and Real‑time Understanding of Urban Heat Dynamic
Published:
teaching
GEOG507 - High Performance Geospatial Computing
Instructor, University of Illinois at Urbana Champaign, Fall, 2021
GEOG407 - Foundations of CyberGIS & Geospatial Data Science
Teaching Assistant, University of Illinois at Urbana Champaign, Spring, 2022
GEOG105 - The Digital Earth
Instructor, University of Illinois at Urbana Champaign, Summer, 2022