The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-4/W1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W1-2022, 403–410, 2022
https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-403-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W1-2022, 403–410, 2022
https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-403-2022
 
06 Aug 2022
06 Aug 2022

ANALYSIS OF THE SPATIOTEMPORAL ACCUMULATION PROCESS OF MAPILLARY DATA AND ITS RELATIONSHIP WITH OSM ROAD DATA: A CASE STUDY IN JAPAN

T. Seto1 and Y. Nishimura2 T. Seto and Y. Nishimura
  • 1Department of Geography, Komazawa University, Japan
  • 2Faculty of Letters, Nara Women's University, Japan

Keywords: Spatiotemporal analysis, volunteered geographic information, Mapillary, OpenStreetMap, FlatGeoBuf

Abstract. This paper presents a geospatial analysis of a FlatGeobuf database composed of six years of geographic data on approximately 41.7 million Mapillary photo shooting locations throughout Japan and geospatial data including road data from OpenStreetMap (OSM). Although Mapillary has a shorter track record than OSM, it is a massive data source and its use as a new resource for volunteered geographic information is expected to attract attention in the future. Therefore, we aim to clarify the geographical distribution of Mapillary users and time-series transitions and attempt to analyze the relationships of these road landscape images with OSM road data and the local geographical distribution characteristics. Although the geographical distribution of Mapillary locations is biased, much information is collected for local roads, which may improve the quality of OSM road data and expand the overall road data.