New research: Extracting knowledge from legacy maps to delineate eco-geographical regions by L Yang, X Li, Q Yang, L Zhang, S Zhang, S Wu & C Zhou. #ijgis tandfonline.com/doi/full/10.10…

Looking forward to discussing our #GeoAI editorial as part of the IJGIS webinar series with STKO Song Gao Yingjie Hu Budhendra Budhu Bhaduri Feb 22 at 12p EST #giscience Platial Analysis Lab

Feature Extraction Techniques: PCA, LDA and t-SNE by Ashwin N link.medium.com/gmlzaAO3ydb

Pytorch Transformers from Scratch (Attention is all you need) youtu.be/U0s0f995w14 来自 YouTube

Amazing work on 'turning' satellite imagery into street view counterparts by Aysim Toker Laura Leal-Taixe et al. arxiv.org/abs/2103.06818 🪄

Cool figure.

Rainbolt is a pro Google Maps player. He can guess the location of a Google Street View after seeing it for 0.1 seconds. You may have seen his ridiculous skills in viral TikTok videos. Here's how he does it🧵

blog.51cto.com/u_15155099/278…

Data folks, I am searching for more open data on building construction year (aka building “age”) in Europe. We could find data mostly in Western European countries and a few more cities and regions. Any leads (ideally building-level but not only) would be super appreciated!

Day 26 of the #30DayMapChallenge - Islands. 3D digital elevation model of Taiwan This map was made with #Python using #Numpy, #matplotlib and #earthpy. #data #DataScience #data #dataviz #DataScientist #geography #artwork #art

Ranking of china cities with COVID-19 severity based on data extracted from over 10 million social media platform (基于超千万社交媒体数据提取的covid相关疫情严重程度中国城市排名)

magic mbappe! unbelievable

Convolutional networks strike back, again. The fully convolutional ConvNeXt v2 extends the successful ConvNeXt architecture by adding self-supervised learning capabilities. What's new? 1/5

How to create a #Python package and publish it on PyPI in less than 5 minutes? Video: youtu.be/EIwLZiTuYoA Demo: geosdemo.gishub.org #geospatial #geopython

The farthest place on earth from any ocean

Now available on Mapillary: Neural Radiance Fields (NeRFs)! 🎊 NeRFs allow for the transformation of a collection of 2D images into detailed, immersive 3D reconstructions. Read our blog post to learn more and see how you can get started with NeRFs: blog.mapillary.com/update/2024/03…

Excited to share our research on urban noise exposure in AppliedGeography with Prof.Mei-Po Kwan! We used 17,000+ noise complaints, applied SVI to identify noise sources and found higher & more unequal noise exposure in wealthy community. Free access via authors.elsevier.com/a/1jeHlWf-BQ03J

Urban functional zones play important roles in cities. Traditional methods classify them in a binary (black and white) way, while UFZ often exist in mixed forms. With Prof Mei-Po Kwan, we discussed this issue in TGIS. Visit link: doi.org/10.1111/tgis.1…

Just published in Scientific Data: Our LLM-driven dataset revealing spatiotemporal patterns of street & neighborhood crime across China! With ~1 million geo-tagged crime records, supports SDG 11 & 16 research. Mei-Po Kwan #OpenData rdcu.be/eejq2

New paper with Mei-Po Kwan published at Science Bulletin(IF=21.1)! 📊 Framework: Challenges the assumption where you live = your environmental exposure. 🚀 Future Vision: AI simulate population mobility patterns while protecting privacy, enabling large-scale exposure assessment.