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.

Authors

Anil Madhavapeddy (ORCID: https://orcid.org/0000-0001-8954-2428)

Publication Details

Journal: Front Matter
Published: 2025-04-01
DOI: https://doi.org/10.59350/w8sm6-k0j25
Primary Topic: Geophysics and Gravity Measurements
Type: article
Field-Weighted Citation Impact: 0.00

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article

Autoscaling geospatial computation with Python and Yirgacheffe

Anil Madhavapeddy

Apr 1, 2025

Front Matter

Geophysics and Gravity Measurements

article

Autoscaling geospatial computation with Python and Yirgacheffe

Anil Madhavapeddy

April 1, 2025article en

Abstract

Front Matter

Openalex Percentile: Top 71%

Geophysics and Gravity Measurements

DOI Open Access PDF OpenAlex

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