GeoHexViz: A Python package for the visualizing hexagonally binned geospatial data-Reference-Cited by-同舟云学术

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GeoHexViz: A Python package for the visualizing hexagonally binned geospatial data

Published:2023-02-15 Issue:82 Volume:8 Page:5073
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Zeidan Tony M. Abou^ORCID,Rempel Mark^ORCID

Publisher

The Open Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://joss.theoj.org/papers/10.21105/joss.05073.pdf

Reference25 articles.

1. SeeDB: Automatically generating query visualizations;Vartak;Proceedings of the VLDB Endowment,2014

2. Q: Invalidity of polygons in GeoJSON, GeoPandas;Abou Zeidan,2021

3. Plotly python open source graphing library;Plotly,2021

4. [Feature request | bug report] plot area / colorbar size variance (geos);Abou Zeidan,2021

5. ArcGIS online;Ersi,2021

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1. The Ballpark Effect: Spatial-Data-Driven Insights into Baseball’s Local Economic Impact;Applied Sciences;2024-09-10

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