Exploring Urban Form Through Openstreetmap Data: A Visual Introduction

Exploring Data Model Relations in OpenStreetMap

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, ...

Visual Overlay on OpenStreetMap Data to Support Spatial Exploration of Urban Environments

Increasing volumes of spatial data about urban areas are captured and made available via volunteered geographic information (VGI) sources, such as OpenStreetMap (OSM). Hence, new opportunities arise for regional exploration that can lead to improvements in the lives of citizens through spatial decision support. We believe that the VGI data of the urban environment could be used to present a con...

Patterns of tagging in OpenStreetMap data in urban areas

OpenStreetMap (OSM) contributors are free to apply any tags (key-value pairs) they wish to geographic objects in the OSM database. Guidance for tagging is provided by many sources (Wikis, OSM editors, mailing lists, etc). In general contributors do not always follow these guidelines. In this paper we develop an approach to extract and analyse patterns of tagging of OSM data in urban areas. We f...

Using Crowd-Sourced Data to Quantify the Complex Urban Fabric - OpenStreetMap and the Urban-Rural Index

VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data.

Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge for visualization and analysis. In this paper, we design and implement a novel visual analytics approach, Visual Analyzer for Urban Data (VAUD), that supports the visualization, querying, and exploration of urban data. Our approach allows for cross-domain correlation from multiple data sources by leveragin...