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HiBO (High-performance Buffer and Overlay)

Interactive and Online Buffer and Overlay Analytics of Large Spatial Data. An online demo is provided on the Web. The datasets and hardware environment of the DEMO are shown as follows. Experiments on an SMP server with 32 cores/64 threads verify that our approach is capable of handling datasets with ten-million-scale records.

Chrome is Recommended for the Demo.

Tab1. Datasets of Spain from OpenStreetMap (Classification standard)

Name Type Records Size
Amenity_Education Point 6,994 6,994 Points
Amenity_Entertainment, Arts & Culture Point 6,928 6,928 Points
Amenity_Financial Point 13,040 13,040 Points
Amenity_Healthcare Point 14,757 14,757 Points
Amenity_Sustenance Point 89,282 89,282 Points
Amenity_Transportation Point 3,114 3,114 Points
Shop Point 82,192 82,192 Points
Religion Point 6,219 6,219 Points
Historic Point 14,974 14,974 Points
Leisure Point 8,334 8,334 Points
Tourism Point 36,462 36,462 Points
Places Point 582,464 582,464 Points
Public_Transport Point 45,478 45,478 Points
Railway Linestring 97,675 309,716 Segments
Highway Linestring 3,132,496 42,497,196 Segments
Waterway Linestring 33,214 4,254,732 Segments
Natural_Beach Point 148 148 Points
Natural_Cave Point 3,237 3,237 Points
Natural_Cliff Point 155 155 Points
Natural_Peak Point 28,106 28,106 Points
Natural_Spring Point 4,780 4,780 Points
Natural_Tree Point 533,856 533,856 Points
Natural_Volcano Point 13 13 Points
Water_Area Polygon 60,319 2,044,622 Edges
Pois_Area Polygon 279,010 2,462,611 Edges
Pofw_Area Polygon 23,337 265,523 Edges
Natural_Area Polygon 4,034 114184 Edges
Places_Area Polygon 4,133 273,679 Edges
Landuse_Area Polygon 459,946 18,528,176 Edges
Buildings_Area Polygon 2,039,096 14,829,921 Edges

Tab2. Demo Environment

Item Description
CPU 4core*2, Intel(R) Xeon(R) CPU E5-2680 v3@2.50GHz
Memory 32 GB
Operating System Centos7

Scenario

We have designed a housing site selection scenario to show the effect of the demonstration. Suppose that a new immigrant in Spain wants to choose a place to live which meets the following conditions: 1) convenient to traffic (within 500m from Highways); 2) convenient for children education (within 200m from Education amenities); 3) convenient to the medical care (within 2000m from Healthcare amenities); 4) near to leisure places (within 1000m from Entertainment, Arts & Culture amenities or Waterways but not in Water Area); 5) quiet (at least 300m away from Railways). The conditions can be translated into the following expression. Enter the expression in HiBO and click the Create-Overlay-Layer button (Fig 1), then the result layer will be added to the map in real time. Fig 2 shows the analysis results, in which the red areas are the recommended housing places for the immigrant.

eq

fig1

Fig1. Input of the housing site selection in Spain

fig2

Fig2. Analysis result of the housing site selection in Spain

Citation

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

Ma M, Wu Y, et al. Interactive and Online Buffer-Overlay Analytics of Large-Scale Spatial Data[J]. International Journal of Geo-Information, 2019, 8(1):21.

Contact:

Mengyu Ma@ National University of Defense Technology

Email: mamengyu10@nudt.edu.cn

Tel:+8615507487344

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