Spark-Based Iterative Spatial Overlay Analysis Method

DOI

10.2991/eia-17.2017.49How to use a DOI?

Keywords

Spark; overlay analysis; vector data; multi-level grid index

Abstract

For the spatial overlay analysis of vector data on the condition of mass data and confined memory, the paper proposes spark-based iterative spatial overlay analysis algorithm. The algorithm builds multi-level grid index structure combining the first-level grid with quartering ,designs memory space data structure and implements spatial overlay analysis of mass vector data based on Spark distributed computation platform. The experimental result indicates that the algorithm, compared with spatial overlay analysis algorithm in ArcGIS and spatial database PostGIS and Spark-based quad tree index algorithm, enhances the efficiency of spatial overlay analysis obviously. Therefore, it is more suitable for spatial overlay analysis of vector data on the condition of mass data and confined memory.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zheng ZHAO
AU  - Luo CHEN
AU  - Ye WU
AU  - Ning JING
PY  - 2017/07
DA  - 2017/07
TI  - Spark-Based Iterative Spatial Overlay Analysis Method
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 227
EP  - 232
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.49
DO  - 10.2991/eia-17.2017.49
ID  - ZHAO2017/07
ER  -