Using Biconnected Components for Efficient Identification of Upstream Features in Large Spatial Networks (GIS Cup)

被引：0

作者：

Goldthorpe, Zach ^{[1
]}

Cannon, Jason ^{[1
]}

Farebrother, Jesse ^{[1
]}

Friggstad, Zachary ^{[1
]}

Nascimento, Mario A. ^{[1
]}

机构：

[1] Univ Alberta, Edmonton, AB, Canada

来源：

26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018) | 2018年

基金：

加拿大自然科学与工程研究理事会;

关键词：

biconnected components; block-cut tree; GIS; graph algorithms; upstream features; utility networks;

D O I：

10.1145/3274895.3276476

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a solution to the problem posed in the ACM SIGSPATIAL GIS Cup 2018, namely to identify all upstream features-nodes and edges existing on simple paths between starting points and controllers-in a given spatial network. Our approach is based primarily on a two-sweep depth-first search which decomposes a graph into its biconnected components prior to collecting the upstream features. Our algorithm runs in linear time in the size of the graph and, in practice, is able to solve large instances with millions of features within seconds on an ordinary personal laptop, identifying features if and only if they are upstream.

引用

页码：630 / 633

页数：4

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