ABSTRACT

The majority of spatial data provided as Volunteered Geographic Information (VGI) are roads and other linear map features. Such data have been widely used in routing and navigation, road network update, emergency response, urban planning and more. Due to the lack of cartographic standards and issues with volunteer credibility, the quality of VGI linear features remains a concern and could seriously hinder the broad application of VGI data. This research proposes a comprehensive quality assessment framework for VGI linear features which adopts factor analysis to integrate two novel quality metrics with six other commonly used metrics, and further examines the spatial autocorrelation and semantic correlation of VGI linear feature quality. The OpenStreetMap road network of Allegheny County, Pennsylvania (USA) was selected as an example to test the proposed framework. Our results suggest that the proposed metrics, Box-counting dimension difference and Link accuracy are feasible for detecting quality issues and are important supplements to the common quality metrics. The findings also show that significant spatial autocorrelation exists in spatial completeness, positional accuracy, and logical consistency. Road type such as Tertiary, Residential, Service and Link has been proven to be a typical indicator of the different quality elements for VGI linear features.

摘要

作为志愿地理信息 (VGI) 提供的大部分空间数据是道路和其他线性地图要素。此类数据已广泛应用于路线导航、路网更新、应急响应、城市规划等领域。由于缺乏制图标准和志愿者可信度问题，VGI 线性特征的质量仍然是一个问题，并可能严重阻碍 VGI 数据的广泛应用。本研究提出了一个综合的 VGI 线性特征质量评估框架，该框架采用因子分析将两个新的质量度量与其他六个常用度量相结合，并进一步检验 VGI 线性特征质量的空间自相关和语义相关性。阿勒格尼县的 OpenStreetMap 道路网络，宾夕法尼亚州（美国）被选为测试提议框架的示例。我们的结果表明，所提出的指标、Box-counting 维度差异和 Link 准确度对于检测质量问题是可行的，并且是对常见质量指标的重要补充。研究结果还表明，空间完整性、位置准确性和逻辑一致性存在显着的空间自相关。道路类型（例如第三级、住宅、服务和链接）已被证明是 VGI 线性要素不同质量元素的典型指标。研究结果还表明，空间完整性、位置准确性和逻辑一致性存在显着的空间自相关。道路类型（例如第三级、住宅、服务和链接）已被证明是 VGI 线性要素不同质量元素的典型指标。研究结果还表明，空间完整性、位置准确性和逻辑一致性存在显着的空间自相关。道路类型（例如第三级、住宅、服务和链接）已被证明是 VGI 线性要素不同质量元素的典型指标。