Have anyone have a few examples how to use mapreduce effective with GIS data?
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2Are you referring to this? MapReduce software framework by Google – RyanKDalton Dec 08 '11 at 16:04
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1You need to be more specific to what you exactly need... – Paul Hiemstra Dec 11 '11 at 21:11
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Some pointers from few first pages from Google:
- Parallel bulk-loading of spatial data with MapReduce: An R-tree case (paywall)
- SJMR:Parallelizing Spatial Join with MapReduce on Clusters
- Voronoi-Based Geospatial Query Processing with MapReduce
- Accelerating Spatial Data Processing with MapReduce (paywall)
- Indexing Geospatial Data with MapReduce
- Experiences on Processing Spatial Data with MapReduce
- SDPPF — A MapReduce based parallel processing framework for spatial data
- Spatial Queries Evaluation with MapReduce (paywall)
- Tiled-MapReduce: Optimizing Resource Usages of Data-parallel Applications on Multicore with Tiling
- MRGIS: A MapReduce-Enabled High Performance Workflow System for GIS
Do you have any particular application in mind?
Glorfindel
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1The article "Voronoi-Baskin Geospatial Query Processing with MapReduce" is no longer available, but Google has a cached HTML version of it. Here is the updated link: http://webcache.googleusercontent.com/search?q=cache:http://vlab.asu.edu:8080/attachments/106/Voronoi-Based_Geospatial_Query_Processing_with_MapReduce_.pdf – Baskinomics Mar 12 '12 at 20:39
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It seems to be a list of of research articles. Some are probably interesting, but I don't know if geo raster aggregation have been done in practice at high throughput. For example, HDFS doesn't seem to support random read operations which can make processing inefficient – Kiruahxh Aug 04 '21 at 06:11