xbitinfo: Compressing geospatial data based on information theory
xbitinfo: Compressing geospatial data based on information theory - Published in JOSS (2025)
Science Score: 87.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
○Academic links in README
-
○Academic email domains
-
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Last synced: 7 months ago
·
JSON representation
JOSS Publication
xbitinfo: Compressing geospatial data based on information theory
Published
December 07, 2025
Volume 10, Issue 116, Page 9178
Authors
Hauke Schulz
University of Washington, Seattle, United States of America, eScience Institute, University of Washington, Seattle, United States of America
University of Washington, Seattle, United States of America, eScience Institute, University of Washington, Seattle, United States of America
Milan Klöwer
University of Oxford, Oxford, United Kingdom
University of Oxford, Oxford, United Kingdom
Aaron Spring
Max Planck Institute for Meteorology, Hamburg, Germany
Max Planck Institute for Meteorology, Hamburg, Germany
Editor
Marcel Stimberg