A5091474205- Geographic Information Systems Studies
- Data Management and Algorithms
- Human Mobility and Location-Based Analysis
- 3D Modeling in Geospatial Applications
- Data-Driven Disease Surveillance
- Automated Road and Building Extraction
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Semantic Web and Ontologies
- 3D Surveying and Cultural Heritage
- Geological Modeling and Analysis
- Transportation Planning and Optimization
- Remote-Sensing Image Classification
- Image Processing and 3D Reconstruction
- Urban Green Space and Health
- Evacuation and Crowd Dynamics
- Web Data Mining and Analysis
- Urban Transport and Accessibility
- Behavioral Health and Interventions
- Hepatitis C virus research
- Data Quality and Management
- Pancreatitis Pathology and Treatment
- Traffic Prediction and Management Techniques
- Flood Risk Assessment and Management
- Context-Aware Activity Recognition Systems
Heidelberg University
2016-2025
University Hospital Heidelberg
2016-2025
V. B. Sochava Institute of Geography
2015-2025
Heidelberg University
2024
Central Institute of Mental Health
2016
Karlsruhe Institute of Technology
2016
Max Planck Institute for Empirical Aesthetics
2016
Institute of Geography
2013
University of Bonn
2008-2009
Orthopädische Praxis
2006-2008
AbstractIn the past two years, several applications of generating three-dimensional (3D) buildings from OpenStreetMap (OSM) have been made available, for instance, OSM-3D, OSM2World, OSM Building, etc. In these projects, 3D are reconstructed using buildings' footprints and information about their attributes, which documented as tags in OSM. Therefore, quality relies strongly on building data This article is dedicated to a assessment German city Munich, one most developed cities The evaluated...
The OpenStreetMap (OSM) project is a prime example in the field of Volunteered Geographic Information (VGI). Worldwide, several hundred thousand people are currently contributing information to “free” geodatabase. However, data contributions show geographically heterogeneous pattern around globe. Germany counts as one most active countries OSM; thus, German street network has undergone an extensive development recent years. question that remains this: How does perform relative comparison...
Abstract OpenStreetMap ( OSM ) is one of the most popular examples a Volunteered Geographic Information VGI project. In past years it has become serious alternative source for geodata. Since quality data can vary strongly, different aspects have been investigated in several scientific studies. cases compared with commercial or administrative datasets which, however, are not always accessible due to lack availability, contradictory licensing restrictions high procurement costs. this...
In recent years, social media emerged as a potential resource to improve the management of crisis situations such disasters triggered by natural hazards. Although there is growing research body concerned with analysis usage during disasters, most previous work has concentrated on using stand-alone information source, whereas its combination other sources holds still underexplored potential. This article presents an approach enhance identification relevant messages from that relies upon...
The OpenStreetMap (OSM) project, founded in 2004, has gathered an exceptional amount of interest recent years and counts as one the most impressive sources Volunteered Geographic Information (VGI) on Internet. In total, more than half a million members had registered for project by end 2011. However, while this number contributors seems impressive, questions remain about individual contributions that have been made members. This research article contains several studies regarding community...
Data on population at building level is required for various purposes. However, to protect privacy, government data aggregated. Population estimates finer scales can be obtained through areal interpolation, a process where from first spatial unit system transferred another system. Areal interpolation conducted with ancillary that guide the redistribution of population. For estimation level, common include three-dimensional buildings, costly processes such as LiDAR. Meanwhile, volunteered...
Abstract In the past 10 years, collaborative maps of OpenStreetMap (OSM) have been used to support humanitarian efforts around world as well fill important data gaps for implementing major development frameworks such Sustainable Development Goals. This paper provides a comprehensive assessment evolution mapping within OSM community, seeking understand spatial and temporal footprint these large-scale efforts. The spatio-temporal statistical analysis OSM’s full history since 2008 showed that...
Abstract OpenStreetMap (OSM) has evolved as a popular dataset for global urban analyses, such assessing progress towards the Sustainable Development Goals. However, many analyses do not account uneven spatial coverage of existing data. We employ machine-learning model to infer completeness OSM building stock data 13,189 agglomerations worldwide. For 1,848 centres (16% population), footprint exceeds 80% completeness, but remains lower than 20% 9,163 cities (48% population). Although...
Abstract The objective of this article is to conduct a systematic literature review that provides an overview the current state research concerning methods and application for spatiotemporal analyses social network T witter. Reviewed papers their domains have shown study geographical processes by using information from location‐based networks represent promising still underexplored field GIS cience researchers.
Volunteered Geographic Information (VGI) projects and their crowdsourced data have been the focus of a number scientific analyses investigations in recent years. Oftentimes results show that collaboratively collected geodata one most popular VGI projects, OpenStreetMap (OSM), provides good coverage urban areas when considering particular completeness factors. However, can potentially vary significantly for different world regions. In this article, we conduct an analysis to determine...
AbstractA large number of applications have been launched to gather geo-located information from the public. This article introduces an approach toward generating land-use patterns volunteered geographic (VGI) without applying remote-sensing techniques and/or engaging official data. Hence, collaboratively collected OpenStreetMap (OSM) data sets are employed map in Vienna, Austria. Initially spatial pattern landscape was delineated and thereafter most relevant land type assigned each parcel...
Volunteered Geographic Information (VGI) such as data derived from the OpenStreetMap (OSM) project is a popular source for freely available geographic data. Normally, untrained contributors gather these This fact frequently cause of concern regarding quality and usability In this study, OSM land use cover (LULC) investigated an area in southern Germany. Two spatial elements, thematic accuracy completeness are addressed by comparing with authoritative German reference dataset. The results...
The investigation of human activity patterns from location-based social networks like Twitter is an established approach how to infer relationships and latent information that characterize urban structures. Researchers various disciplines have performed geospatial analysis on media data despite the data’s high dimensionality, complexity heterogeneity. However, user-generated datasets are multi-scale nature, which results in limited applicability commonly known methods. Therefore this paper,...
Since cities have become more complex and some large are likely to be polycentric, a better understanding of requires clear topology that reveals how city centers spatially distributed interacted with. The identification center aims find the accurate location or delineate with precise boundary becomes vital. This work attempts achieve this by using new type movement data generated from location-based social networks, whereby three different methods deployed for clustering compared regarding...