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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 [...]

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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 [...]

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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 [...]

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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 [...]

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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 [...]

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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 [...]

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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., [...]

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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 [...]

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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 [...]

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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 images [...]

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