Research on demand-responsive collective transportation facilities that can act as feeder services to time-table based public transportation (PT) requires detailed and accurate information about the PT infrastructure, including the attachment of bus stops to the appropriate network link. Due to the size of the infrastructure, the data integration shall be automated. This paper describes the eff...

The OpenStreetMap (OSM) geographic data model has three principal object types: nodes (points), ways (polygons and polylines), and relations (logical grouping of all three object types to express real-world geographical relationships). While there has been very significant analysis of OSM over the past decade or so, very little research attention has been given to OSM relations. In this paper, ...

This paper describes the results of an analysis of the OpenStreetMap (OSM) database for the United Kingdom (UK) and Ireland (correct to April 2011). 15, 640 OSM ways (polygons and polylines), resulting in 316, 949 unique versions of these objects, were extracted and analysed from the OSM database for the UK and Ireland. In our analysis we only considered “heavily edited” objects in OSM: objects...

This paper demonstrates the use of fuzzy clustering to characterize Volunteered Geographic Information (VGI). We argue that classifying small areas based on variables related to the amount, type, and currency of VGI can provide a more nuanced understanding of the content. We present a classification of 2011 UK Census Output Areas in Leicestershire (UK) based on content of OpenStreetMap, using a...

Since data in OpenStreetMap is mostly surveyed by untrained private citizens rigorous quality control is required in order to produce a reliable data set. “Hidden” information, such as user activities, topicality of data, which is typically not visualized in maps might indicate areas with increased need for quality assessments. OSMatrix is a visual analytics approach that provides such informat...

In this paper, we propose an approach for the detection of clickbait posts in online social media (OSM). Clickbait posts are short catchy phrases that attract a user’s attention to click to an article. The approach is based on a machine learning (ML) classifier capable of distinguishing between clickbait and legitimate posts published in OSM. The suggested classifier is based on a variety of fe...

Geo Semantic Technology is evaluated as the core technology for supporting interoperability of geospatial data and building urban computing environment. We made semantic integrations of LOD's Linked Geo Data and Open Street Map with Korean POI data set, and have researched for developing intelligent road sign management system based on the LarKC platform.

The chapter proposes a conceptual model as foundation for analyzing user contributions in the context of VGI. The conceptual model is based on a set of action and domain concepts, which are combined to a task-model describing typical tasks of volunteered geographic information contribution. As a proof-of-concept, the model is applied to two sample data sets that are extracted from the OpenStree...

The aim of this study is to explore large (60 m/pixel) and small scale (individual building level) temperature distribution patterns from thermal remote sensing data and to conclude what kind of information could be extracted from thermal remote sensing on regular basis. Landsat program provides frequent large scale thermal images useful for analysis of city temperature patterns. During the stu...