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Blog Post number 3

less than 1 minute read

Published: August 14, 2014

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

less than 1 minute read

Published: August 14, 2013

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

[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

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: September 28, 2022

Fangzheng Lyu

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