Geospatial Hadoop (GS-Hadoop) an efficient mapreduce based engine for distributed processing of shapefiles-Reference-Cited by-同舟云学术

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Geospatial Hadoop (GS-Hadoop) an efficient mapreduce based engine for distributed processing of shapefiles

Published:2016-09 Issue: Volume: Page:
ISSN:
Container-title:2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall)
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Author:

Abdul Jhummarwala,Alkathiri Mazin,Potdar M. B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7731033/7748942/07748956.pdf?arnumber=7748956

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative Approach to Convert Geographic Information System-Based Highway Models into Multidimensional Building Information Modeling Platforms Using Dynamo;Transportation Research Record: Journal of the Transportation Research Board;2024-01-08

2. mcRPL: a general purpose parallel raster processing library on distributed heterogeneous architectures;International Journal of Geographical Information Science;2023-08-14

3. Dynamo Conversion of Traffic Information Management from GIS to BIM;International Conference on Transportation and Development 2022;2022-08-31

4. Scalable Transformation of Big Geospatial Data into Linked Data;The Semantic Web – ISWC 2021;2021

5. Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark;Algorithms and Architectures for Parallel Processing;2020

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