The programme of the AGIT Symposium 2017 in Salzburg is online now and it includes a first paper about the work at GIScience Heidelberg on OSMlanduse.org. It will be presented 6 July in the afternoon at AGIT Salzburg.
The talk is entitled “OSMLanduse Version 1″ while the full titel of the paper is:
Voß, J., M. Auer, [...]
Tag Archive 'data quality'
The set of interactive visualizations “OSMvis” from our GIScience HD team member Franz-Benjamin are now online at: http://osm-vis.geog.uni-heidelberg.de.
Nice work Franz-Benjamin!
OSMvis is a collection of visualizations related to OpenStreetMap (OSM), in particular the OSM database, the OSM wiki, and the use of OSM data in general. OSMvis aims at exploring the generation, modification, and use of OSM [...]
A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review
Posted in Publications, Research, VGI Group on Mar 12th, 2017
Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information for different domains. Despite advantages associated with it, such information lacks quality assurance, since it is provided by different individuals. Several authors have investigated different approaches to assess CGI quality. Some of the existing methods have been summarized in different classification schemas. [...]
Big Data Analytics Panel at the International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at IEEE PerCom
Posted in Events on Mar 10th, 2017
Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for [...]
Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations
Posted in Crowd Analyser, Publications, Research, VGI Group on Mar 6th, 2017
The aftereffects of disaster events are significant in tourist destinations where they do not only lead to destruction and casualties, but also long-lasting economic harms. The public perception causes tourists to refrain from visiting these areas and recovery of the tourist industry, a major economic sector, to become challenging. To improve this situation, current information [...]
HeiGIT goes CeBIT - Smart Geo Services for Smart Cities
Posted in Events, Press release on Mar 4th, 2017
Together with Heidelberg Mobil International (HDMI) our new Heidelberg Institute for Geoinformation Technology (HeiGIT) will be represented at the CeBIT in Hannover within the Smart City Forum this month from the 20-24th of March.
In this context we will be focusing on transportation and navigation as an example which must meet a wide range of [...]
During last weeks LandSense stakeholder at IIASA workshops various tools relevant for VGI data capture, Quality assessment and beyond were discussed. Potential hotshots for validation and improvement of OSMLanduse were FotoQuest and LacoWiki. Also discussed were platforms for hobby bird fans or for spatial data geeks.
http://www.geog.uni-heidelberg.de/gis/land_sense.html
http://osmlanduse.org
2nd Call for full Journal and Workshop Papers on VGI_Analytics (AGILE2017) Deadline March 15
Posted in Events, Press release on Jan 25th, 2017
VGI-Analytics 2017 is the 4th workshop in a series of AGILE pre-conference workshops
Volunteered Geographic Information (VGI) and social media data have become part of our everyday lives over the past few years. Whereas in the early beginnings of crowd-sourced data the collection occurred primarily to isolated, individual platforms, contribution patterns are now beginning to be more [...]
Invitation: Colloquium Talk by Dr. Yingwei Yan on Using User-Generated Content for Agricultural Pest Management
Posted in Events on Jan 13th, 2017
We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, January 16, on agricultural pest management solutions based on pest observations from farmers. Dr. Yingwei Yan reports on how sensemaking algorithms which can be used to evaluate this kind of volunteered geographic information, and to make forecasts of pest infestations provided [...]