Yirgacheffe: a declarative approach to geospatial data
This program is tentative and subject to change.
We present Yirgacheffe, a declarative geospatial library that allows for spatial algorithms to be implemented more concisely, supports parallel execution, and avoids common errors by handling data (large geospatial rasters) and resources (cores, memory, GPUs) automatically. Our primary user domain are ecologists, where a typical problem involves cleaning messy occurrence data, overlaying it over tiled rasters, combining layers, and deriving actionable insights from the results. We describe the successes of this approach towards driving key pipelines related to global biodiversity, and describe the capability gaps that remain, hoping to motivate more research into geospatial domain-specific languages.
This program is tentative and subject to change.
Mon 13 OctDisplayed time zone: Perth change
16:00 - 17:40 | |||
16:00 15mTalk | Challenges in Practice: Building a Usable Library for Planetary-Scale Embeddings PROPL Sadiq Jaffer University of Cambridge, Frank Feng University of Cambridge, Robin Young University of Cambridge, Srinivasan Keshav University of Cambridge, Anil Madhavapeddy University of Cambridge, UK, Robin Young University of Cambridge | ||
16:15 15mPaper | STACD: STAC Extension with DAGs for Geospatial Data and Algorithm Management PROPL Saharsh Laud Indian Institute Of Technology Delhi, Saurabh Joshi Indian Institute Of Technology Delhi, Tarun Mangla Indian Institute Of Technology Delhi, Abhilash Jindal IIT Delhi, India, Aaditeshwar Seth Indian Institute Of Technology Delhi | ||
16:30 15mTalk | Spatial Programming for Environmental Monitoring PROPL Josh Millar Imperial College London, Ryan Gibb University of Cambridge, Roy Ang University of Cambridge, Hamed Haddadi Imperial College London, Anil Madhavapeddy University of Cambridge, UK | ||
16:45 15mPaper | Yirgacheffe: a declarative approach to geospatial data PROPL Michael Dales University of Cambridge, UK, Alison Eyres University of Cambridge, Patrick Ferris University of Cambridge, UK, Anil Madhavapeddy University of Cambridge, UK, Francesca A. Ridley Newcastle University, Simon Tarr IUCN | ||
17:00 15mTalk | Large Language Models for computational climate analysis PROPL Jay Torry University of Cambridge | ||
17:15 15mTalk | Scaling the Urban Forest: An Integrated Framework for Managing Cities by Fusing Raster and Vector Data PROPL Andrés C. Zúñiga-González University of Cambridge, Anil Madhavapeddy University of Cambridge, UK, Ronita Bardhan University of Cambridge | ||
17:30 10mDay closing | Closing thoughts from the chairs PROPL Anil Madhavapeddy University of Cambridge, UK, KC Sivaramakrishnan IIT Madras and Tarides, Dominic Orchard University of Cambridge; University of Kent | ||
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