Abstract

Volunteered geographic information (VGI) encourages citizens to contribute geographic data voluntarily that helps to enhance geospatial databases. VGI’s significant limitations are trustworthiness and reliability concerning data quality due to the anonymity of data contributors. We propose a data-driven model to address these issues on OpenStreetMap (OSM), a particular case of VGI in recent times. This research examines the hypothesis of evaluating the proficiency of the contributor to assess the credibility of the data contributed. The proposed framework consists of two phases, namely, an exploratory data analysis phase and a learning phase. The former explores OSM data history to perform feature selection, resulting in “OSM Metadata” summarized using principal component analysis. The latter combines unsupervised and supervised learning through K-means for user-clustering and multi-class logistic regression for user classification. We identified five major classes representing user-proficiency levels based on contribution behavior in this study. We tested the framework with India OSM data history, where 17% of users are key contributors, and 27% are unexperienced local users. The results for classifying new users are satisfactory with 95.5% accuracy. Our conclusions recognize the potential of OSM metadata to illustrate the user’s contribution behavior without the knowledge of the user’s profile information.

Highlights

  • Volunteered geographic information (VGI) encourages citizens to contribute geographic data voluntarily that helps to enhance geospatial databases

  • The notable change created by OSM among geographic information system (GIS) environments is extending the collection of geodata and the development of cartographic products from specialists, geographic surveyors, and cartographers to neogeographers

  • Our goal is to detect intrinsic properties of user metadata points bound within principal component analysis (PCA) components that make them fit into the same clusters

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Summary

Introduction

Volunteered geographic information (VGI) encourages citizens to contribute geographic data voluntarily that helps to enhance geospatial databases. A variety of VGI establishments took shape over recent years, and the one with massive response over a great extent was OpenStreetMap (OSM). OSM is mainly intended to develop a free editable base map for the whole world, acting as a potential asset to commercial or authoritative geographic data. OSM rapidly increased the volume of geographic information contributed by widely distributed users. The notable change created by OSM among geographic information system (GIS) environments is extending the collection of geodata and the development of cartographic products from specialists, geographic surveyors, and cartographers to neogeographers. OSM data are produced unconventionally with richness and heterogeneity of the information collected and maintained

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