29/05/2026
🏆 Let's start a series celebrating the ISPRS Best Paper Awards 2022–2025, recognizing outstanding scientific contributions across the ISPRS journals.
We are pleased to announce that the paper:
“Mining Spatiotemporal Mobility Patterns Using Improved Deep Time Series Clustering”
by Ziyi Zhang, Diya Li, Zhe Zhang, and Nick Duffield
has been selected as the recipient of the Jack Dangermond Award – Best Paper 2022–2025, recognizing the best paper published in the ISPRS International Journal of Geo-Information during the four-year period 2022–2025.
The award-winning research presents an innovative framework for mining spatiotemporal mobility patterns by combining deep learning and time-series clustering techniques. The approach advances the analysis of complex mobility data and demonstrates significant value for applications in urban planning, public health, and disaster response. The award will be presented during the XXV Congress ISPRS 2026 Toronto in July 2026.
Congratulations to all authors on this outstanding achievement! 👏
DOI: https://doi.org/10.3390/ijgi13110374
Read the full announcement: https://www.isprs.org/news/announcements/details.aspx?ID=450