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Open AccessArticle

An Analysis of the Evolution, Completeness and Spatial Patterns of OpenStreetMap Building Data in China

by YuanJian Tian 1, Qi Zhou 1,* and Xiaolin Fu 2
1
School of Information Engineering, China University of Geosciences, Wuhan 430074, China
2
Wuhan Center of Geological Survey, China Geological Survey, Wuhan 430205, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(1), 35; https://doi.org/10.3390/ijgi8010035
Received: 24 October 2018 / Revised: 11 December 2018 / Accepted: 9 January 2019 / Published: 16 January 2019
(This article belongs to the Special Issue Free and Open Source Tools for Geospatial Analysis and Mapping)
OpenStreetMap (OSM) is a free map that can be created, edited, and updated by volunteers globally. The quality of OSM datasets is therefore of great concern. Extensive studies have focused on assessing the completeness (a quality measure) of OSM datasets in various countries, but very few have been paid attention to investigating the OSM building dataset in China. This study aims to present an analysis of the evolution, completeness and spatial patterns of OSM building data in China across the years 2012 to 2017. This is done using two quality indicators, OSM building count and OSM building density, although a corresponding reference dataset for the whole country is not freely available. Development of OSM building counts from 2012 to 2017 is analyzed in terms of provincial- and prefecture-level divisions. Factors that may affect the development of OSM building data in China are also analyzed. A 1 × 1 km2 regular grid is overlapped onto urban areas of each prefecture-level division, and the OSM building density of each grid cell is calculated. Spatial distributions of high-density grid cells for prefecture-level divisions are analyzed. Results show that: (1) the OSM building count increases by almost 20 times from 2012 to 2017, and in most cases, economic (gross domestic product) and OSM road length are two factors that may influence the development of OSM building data in China; (2) most grid cells in urban areas do not have any building data, but two typical patterns (dispersion and aggregation) of high-density grid cells are found among prefecture-level divisions. View Full-Text
Keywords: OpenStreetMap; China; building data; evolution; completeness; spatial pattern OpenStreetMap; China; building data; evolution; completeness; spatial pattern
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Tian, Y.; Zhou, Q.; Fu, X. An Analysis of the Evolution, Completeness and Spatial Patterns of OpenStreetMap Building Data in China. ISPRS Int. J. Geo-Inf. 2019, 8, 35.

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