Autoscaling geospatial computation with Python and Yirgacheffe

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.

Publication Details

Journal: Front Matter
Published: 2025-04-01
DOI: https://doi.org/10.59350/j4p5s-ct255
Primary Topic: Lower Extremity Biomechanics and Pathologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Autoscaling geospatial computation with Python and Yirgacheffe

Apr 1, 2025

Front Matter

Lower Extremity Biomechanics and Pathologies

article

Autoscaling geospatial computation with Python and Yirgacheffe

April 1, 2025article en

Abstract

Front Matter

Decent work and economic growth

Openalex Percentile: Top 51%

Lower Extremity Biomechanics and Pathologies

DOI Open Access PDF OpenAlex

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Autoscaling geospatial computation with Python and Yirgacheffe · Front Matter (2025) | TGRS Research Map | TGRS