Skip to content

Interactive and Online Buffer Analytics of Large Spatial Data

Notifications You must be signed in to change notification settings

MemoryMmy/Hibuffer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

59 Commits
 
 

Repository files navigation

HiBuffer

Buffer analysis is a fundamental function in geographic information system (GIS), which identifies areas by surrounding geographic features in a given distance. Real-time buffer analysis for large scale spatial data remains a challenging problem since the computational scales of conventional data-oriented methods expand rapidly with data volumes. In this program, we present a visualization-oriented model, HiBuffer, for real-time buffer analysis. Experiments on real-world datasets show that our approach can reduce computation time by up to orders of magnitude while preserving better visualization effects. An demonstration of HiBuffer is provided on the Web. The core code of HiBuffer is implemented using the C++ language.

Online Demo

Tab1. Datasets of Demo 1: Roads and POI of Spain from OpenStreetMap

Name Type Records Size
OSM_Spain_Road LineString 3,132,496 42,497,196 segments
OSM_Spain_POI Point 355,105 355,105 points

Tab2. Datasets of Demo 2: Roads, POI and Farmland of Mainland China (10-million-scale)

Name Type Records Size
China_Road LineString 21,898,508 163,171,928 segments
China_POI Point 20,258,450 20,258,450 points
China_Farmland Polygon 10,520,644 133,830,561 edges

Tab3. Demo Environment

Item Description
CPU 4core*2, Intel(R) Xeon(R) CPU E5-2680 [email protected]
Memory 32 GB
Operating System Centos7

Citation

Ma M, Wu Y, et al. HiBuffer: Buffer Analysis of 10-Million-Scale Spatial Data in Real Time[J]. International Journal of Geo-Information, 2018, 7(12):467. DOI: 10.3390/ijgi7120467

Follow-up Work:

Contact:

Mengyu Ma@ National University of Defense Technology

Email: [email protected]

Tel:+8615507487344

About

Interactive and Online Buffer Analytics of Large Spatial Data

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published