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GIScience Blog

Category: Publications

  • Complex Networks 2018 Conference: Dimension as an Invariant of Street Networks

    F-B Mocnik participates in the Complex Networks 2018 conference, presenting work about the impact of space on network representations.  Street networks have been examined in respect to their structure.  F-B Mocnik has previously examined networks from various domains, thereby demonstrating that the polynomial volume law applies to many of them.  The presentation at the conference…

  • An approach for understanding human activity patterns with the motivations behind

    A mechanistic understanding of human activity patterns lays a foundation for many applications. The majority of the current research aims to outline human activity patterns mainly from spatiotemporal perspectives (i.e., modeling human mobility patterns), lacking of understanding of the motivations behind behaviors. The aim of a recently published study is to model and understand human…

  • Recommendations for organising better mapping parties with the aim of improving OpenStreetMap and Wheelmap data completeness

    Nowadays, several research projects show interest in employing volunteered geographic information (VGI) to improve their systems through using up-to-date and detailed data. The European project CAP4Access was one of the successful examples of such international-wide research projects that aimed to improve the accessibility of people with restricted mobility using crowdsourced data. In this project, OpenStreetMap…

  • Now online: Analysing interaction between urban human activities and daily traffic conditions from Twitter

    Understanding how citizens interact with transportation system is a key to solving a variety of urban issues in general and traffic congestion in particular. Recently, scholars have put efforts on the pertinent work ranging from developing traffic predictors to understanding human mobility and activity patterns. Multiple types of data have been used, of which crowdsourced…

  • A grounding-based ontology of data quality measures

    Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for…

  • A place for place, CFP for TGIS Special Issue on Modelling and Analysing Platial Representations

    Transactions in GIS – Special Issue about MODELLING AND ANALYSING PLATIAL REPRESENTATIONS. Editors: R Westerholt , F-B Mocnik, A Comber, C Davies, D Burghardt, and A Zipf A place for place – modelling and analysing platial representations Places are understood as locations and areas to which anthropogenic meaning is ascribed. As such, places have been…

  • How much do you know about Wheelmap?

    Within the European FP7 project “CAP4Access“, we studied the usage of crowdsourced geographic information (and more specifically OpenStreetMap data) for improving accessibility in selected European regions. This 3 year research study led to several implementations and extensions of Open Source GI solutions with respect to OSM data quality assessment as well as wheelchair routing and…

  • Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data

    In a newly published open access paper, we present a system that generates customized pedestrian routes entirely based on data from OpenStreetMap (OSM). The system enables users to define to what extent they would like the route to have green areas (e.g., parks, squares, trees), social places (e.g., cafes, restaurants, shops) and quieter streets (i.e.,…

  • New method for drainage ditch extraction from airborne LiDAR point clouds

    In our most recent 3DGeo publication, colleagues from KU Leuven together with us developed a new method to extract drainage ditches from LiDAR point clouds in a fully automatic process. Ditches are often absent in hydrographic geodatasets and their mapping would benefit from a cost and labor effective alternative to field surveys. We propose and…

  • An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada

    Understanding how citizens interact with transportation system is a key to solving a variety of urban issues in general and traffic congestion in particular. Recently, scholars have put efforts on the pertinent work ranging from developing traffic predictors to understanding human mobility and activity patterns. Multiple types of data have been used, of which crowdsourced…

  • Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks

    Our feature paper “Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks” is now published online. Recently, convolutional neural networks (CNN) have been intensively investigated for the classification of remote sensing data by extracting invariant and abstract features suitable for classification. In this paper, a novel framework is proposed for the fusion of hyperspectral…

  • Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping

    Our paper about Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping is available online now. Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep…