A Demonstration of HadoopViz: An Extensible MapReduce System for Visualizing Big Spatial Data
Summary: HadoopViz: an extensible MapReduce-based system for visualizing big spatial data, demonstrated with scatter plots, road networks, and heat maps. Features a five-function visualization interface and a three-phase pipeline (partition, rasterize, merge) to produce giga-pixel, zoomable images. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ahmed Eldawy (University of Minnesota)
- 2. Mohamed F. Mokbel (University of Minnesota)
- 3. Christopher Jonathan (University of Minnesota)
BibTeX Citation
@article{eldawy_vldb15,
title = {{A Demonstration of HadoopViz: An Extensible MapReduce System for Visualizing Big Spatial Data}},
author = {Eldawy, Ahmed and Mokbel, Mohamed F. and Jonathan, Christopher},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1896},
doi = {10.14778/2824032.2824095},
url = {https://doi.org/10.14778/2824032.2824095},
year = {2015}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,056 | The Case for Data Visualization Management Systems | 2014 | VLDB | 6.3823595e-05 |
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