Autoscaling geospatial computation with Python and Yirgacheffe
Year: 2025
Type: other
Abstract: Autoscaling geospatial computation with Python and Yirgacheffe This is an idea proposed in 2025 as a good starter project, and is available for being worked on. It may be co-supervised with Michael Dales. Python is a popular tool for geospatial data-science, but it, along with the GDAL library, handle resource management poorly. Python does not deal with parallelism well and GDAL can be a memory hog when parallelised.
DOI: 10.59350/j4p5s-ct255
Author: Anil Madhavapeddy
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7090350280
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