Entwicklung eines Regressionsmodells für die Vollständigkeitsanalyse des globalen OpenStreetMap- Datenbestands an Nahverkehrs-Busstrecken / Development of a Regression Model for the Analysis of Local Bus Route Data Completeness on OpenStreetMap

Oliver Fritz, Michael Auer, A. Zipf
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引用次数: 0

Abstract

The quality of geodata on OpenStreetMap (OSM) is characterized by heterogeneity. Results of conventional approaches of quality assessment based on the comparison with reference data can thus not be applied to the entire dataset. Hence, the completeness of OSM data is usually analysed using intrinsic methods. Here, we propose a novel approach that consists in the generation of reference data via a regression model. Using demographic and socio-economic raster datasets and sporadically available GTFS data, the number of local bus routes is predicted on the cells of a global hexagon grid. The results are compared with the OSM dataset.
对本地路线数据分析的饱和性模型进行回归分析
OpenStreetMap (OSM)的地理数据质量具有异构性。因此,基于与参考数据比较的传统质量评估方法的结果不能应用于整个数据集。因此,通常使用内在方法分析OSM数据的完整性。在这里,我们提出了一种新的方法,包括通过回归模型生成参考数据。利用人口统计和社会经济栅格数据集和零星可用的GTFS数据,在全球六边形网格的单元格上预测本地公交路线的数量。结果与OSM数据集进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AGIT- Journal fur Angewandte Geoinformatik
AGIT- Journal fur Angewandte Geoinformatik Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
0.60
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0.00%
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