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Every mountain, building and tree shadow in the world simulated for any date and time - shademap.app

Using mobile phone data to explore anonymised individual trajectories in a space-time cube. Last week at #MobileTartu #MobileTartu2024 data by Mobility Lab of University of Tartu and Positium

Think cities can't breathe? Urban forestry is our unsung hero, turning grey to green, slashing stress, cleaning air and water AND fighting off urban heat like an eco-shield. Let's champion our leafy warriors and transform our concrete jungles UN-Habitat

Check out our latest RSE paper: Deep learning for urban land use category classification: A review and experimental assessment. Congrats to yr2-PhD: Ziming Li, thanks to all coauthors Drs Shengbiao Wu Mo Su, Profs. Jing M. Chen and Bing Xu. #OpenAccess sciencedirect.com/science/articl…

Thank you to Data-Driven EnviroLab for this opportunity! I’ll be presenting on the intersection of geospatial data and health today at 1:15 PM ET. Looking forward to sharing my research and hearing your thoughts!

Excited to share that our 2021 study on green space inequality in Chinese cities has been recognized as an ESI Highly Cited Paper! 🏆 Huge thanks to everyone for their support. Check out the open-access article here: sciencedirect.com/science/articl…

Geospatial data science is all about having access to good data. Here are a list of my favourite free geospatial resources:

It was a great honor to present my work on "Leveraging Geospatial Big Data and GeoAI for Environmental Exposure and Health Assessment" at International Workshop on Spatial Methods. A big thank you to Prof. Yongze Song Yongze Song for the invitation and to everyone who attended.

It took me SEVEN years to figure out that you can save a ggplot as a vectorized .svg file ggsave("file.svg"). The svg file can be opened on powerpoint and it will be completely vectorized, even text are still recognized as text boxes! No more recreating plots on illustrator!!!!!

📢TorchGeo 0.6.0 is now released! This adds 18 new datasets, 15 new datamodules, and 27 new pre-trained models, encompassing 11 months of work by 23 contributors 🔥 The mission is for machine learning experts to work with geospatial data, and for remote sensing experts to

🎉 Thrilled to receive the 2023 Outstanding Reviewer Award from the ISPRS International Journal of Geo-Information! It's an honor to contribute to advancing research in GeoAI and geoinformation data science. Many thanks to MDPI and my amazing colleagues at Yale!

Uploaded my first geopackage + style on github. Isometric openstreetmap buildings ready to download and use or copy in your projects.

Excited to co-edit this Special Issue on 'Sustainable Application of Land Surveying and Mapping in Land Resource Development and Management' at Sustainability! Looking forward to your submissions by 31 August 2025! 🌍🗺️ #LandSurveying #SustainableDevelopment #Mapping

Thrilled to be part of the inaugural cohort of #GeoCAFE Scholars! 🌍🌡️Grateful for the 2024 GeoCAFE Scholars Program support to advance my climate and health research. Big thanks to U.S. National Science Foundation for funding this initiative! climatehealthcafe.org/geocafe #ClimateHealth #GeoScience

Our new study in ES&T highlights the impact of urban/rural classification on environmental exposure assessments, revealing how different methods can lead to varied disparities in exposure. Read more pubs.acs.org/doi/10.1021/ac…

How to write a grant? 1. Write it for the reviewer, not you, the applicant. 2. Communicate in stories. 3. Make your story cohesive—leave no puzzling gaps. 4. Make your story resonate to keep the reviewer reading. 5. Accept chance and noise in peer-review. pnas.org/doi/epub/10.10…

Check out our latest research led by Dr. Shengbiao Wu: Shade watch: Mapping citywide shade dynamics through ray tracing and LiDAR data in Hong Kong's complex 3-D built environment | Sustainable Cities and Society Shengbiao Wu Bin Chen Readmore: doi.org/10.1016/j.scs.…

📣Check out our latest research about “Shade”—the flip side of our previous sunlight project. Shengbiao Wu Yimeng Song #Shade watch: Mapping citywide shade dynamics through ray tracing and L... sciencedirect.com/science/articl…

🚨 New in AJPH 🚨 We evaluated machine learning methods to detect racial, ethnic, and gender disparities in scientific authorship. 🔍 Predicted White & male authors had highest acceptance rates. 📉 Women & Asian authors faced lower odds. Read more: doi.org/10.2105/AJPH.2…

Thrilled that our article on uncovering racial, ethnic & gender disparities in scientific authorship is featured in the July issue of AJPH!