Pengyuan Liu

[Pengyuan Liu @Neil_Liu_2017]

You are welcome to have a look at this paper (also on ResearchGate: https://t.co/mGprGPuggQ) and reach out to us at any time.

[Pengyuan Liu @Neil_Liu_2017]

Happy to share our new paper Fine-grained local climate zone classification using graph networks: A building-centric approach, which is online now in Building and Environment: https://t.co/CKvTx5nd1s.

[Pengyuan Liu @Neil_Liu_2017]

The building-centric graph network approach offers a more precise tool for LCZ mapping at the building level, prompting urban climate assessment and aiding in designing climate-resilient cities in the face of rapid urbanization and climate change.

[Pengyuan Liu @Neil_Liu_2017]

If you're passionate about animals and cartoons, check out "U Don't Know Us" by my amazingly talented wife, @ZYi_Ling, on the Webtoon 😃. This delightful cartoon features all the cats and dogs from our home. Enjoy the adventure here: https://t.co/npXFWNdN4E 😊#petlovers #cartoon

[Pengyuan Liu @Neil_Liu_2017]

Many thanks to @BinyuLei, @fbiljecki, @urbanalyticslab, @huangwm1990, Siyu Li, Yuan Wang, and Prof. Rudi Stouffs for this wonderful collaboration 🙌

[Pengyuan Liu @Neil_Liu_2017]

This research was conducted under the module of Sea-City Interface at Future Cities Lab Global, Singapore-ETH Centre.

[Pengyuan Liu @Neil_Liu_2017]

In this paper, we propose a novel model that integrates a multigraph and a hypergraph to model intricate spatial patterns for classifying urban climate justice.

[Pengyuan Liu @Neil_Liu_2017]

Check our new paper: Sensing climate justice: A multi-hyper graph approach for classifying urban heat and flood vulnerability through street view imagery, published in Sustainable Cities and Society: https://t.co/gGGKmRz4oE

[Filip Biljecki @fbiljecki]

This method and implementation strives to enhance citizen participation and collaboration. More details are available in a paper that was just published in Cities: https://t.co/ttNlmriTUZ
co-authored w/ @Neil_Liu_2017, Wenhui Xu, and @Tianhong_zhao. Thanks for the collaboration!

[Filip Biljecki @fbiljecki]

We're developing urban digital twins that give more attention to human aspects. @JunjieLuo21 has built a prototype that integrates visual perception and sets the scene for automatically predicting the perception of various scenarios of new buildings before they are built.

[Pengyuan Liu @Neil_Liu_2017]

Special thanks to @fbiljecki who shared this exciting opportunity with me 😃

[Pengyuan Liu @Neil_Liu_2017]

Happy to share that a book chapter of mine on Spatial Analysis in The Encyclopedia of Human Geography has been published 😃: https://t.co/5RDdYbt8dd. This entry provides a comprehensive overview of spatial analysis as a collection of contemporary techniques within Human Geography

[Pengyuan Liu @Neil_Liu_2017]

It reviews the theoretical foundations of location theory and traces the evolution from traditional statistical approaches to advanced Artificial Intelligence (AI)-assisted studies.

[Pengyuan Liu @Neil_Liu_2017]

Doing so aims to achieve a broader understanding of various use cases, the diverse types of data employed, and the numerous challenges and opportunities that arise in this ever-evolving field. Please feel free to have a look.

[Yair Grinberger @GrinbergerYair]

I am delighted to see the proceedings 📃 of the first #OSMScience out, but even more delighted to have had the opportunity to work with such excellent #OpenStreetMap scholars 🗺️🎓 such as the other editors!
Looking forward to OSM Science 2024, updates are coming soon.