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Geo-MST: A geographical minimum spanning tree plugin for QGIS

机译:GEO-MST:QGIS的地理最小生成树插件

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Graphs describing the relation between nodes and edges are common in geographic information science. One of the algorithms that operate on graphs is ‘Minimum Spanning Tree (MST)’, which is a tree that connects all the nodes of a graph with minimum cost. There is no built-in functionality in QGIS, an open-source Geographical Information System (GIS) software, which can determine MST. This paper proposes a QGIS plugin that determines MST on geographical data using Kruskal’s algorithm. The updated version of the plugin (v2.0) offers three substantial improvements with respect to its former version (v1.0). First, the updated version is much faster in execution. The execution time of the two versions was assessed by determining MST on a randomly generated dataset consisting of 5000 polygons and New York City’s census blocks consisting of 38799 polygons. The updated version determined MSTs much faster, reaching up to 30-fold improvements. Second, the updated version can handle raster data. In this way, researchers might consider continuous geographical characteristics while estimating the costs of edges in addition to the discrete measure distance. Third, a barrier (obstacle) might be provided to ensure that the MST is fit for purpose as political boundaries or other restrictive socio-economic issues can be considered.
机译:描述节点和边缘关系的图表在地理信息科学中是常见的。在图形上运行的算法之一是'最小生成树(MST)',这是一个树,其以最小成本连接图形的所有节点。 QGIS中没有内置功能,一个开源地理信息系统(GIS)软件,可以确定MST。本文提出了一个QGIS插件,它使用Kruskal算法确定地理数据的MST。 Plugin的更新版本(v2.0)对其前一个版本(v1.0)提供了三种实质性的改进。首先,更新的版本在执行中要快得多。通过在由38799多边形组成的5000多边形和纽约市的人口普查组成的随机生成的数据集中来评估两个版本的执行时间。更新的版本更快地确定了MSTS,达到了30倍的改进。其次,更新版本可以处理栅格数据。通过这种方式,除了离散测量距离之外,研究人员可能会考虑连续的地理特征,同时估计边缘的成本。第三,可能提供障碍(障碍物)以确保MST适合目的,因为可以考虑政治边界或其他限制性社会经济问题。

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