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Wir laden alle herzlich dazu ein, einen Vortragsbeitrag (Abstract) zu unserer Fachsitzung “3D-Punktwolken in der Geographie – Erfassung, Analyse und Visualisierung” (LT6-FS4) für den Deutschen Kongress für Geographie am 30.9. – 5.10.2017 in Tübingen einzureichen.

Für fachliche Fragen stehen die Fachsitzungsleiter Bernhard Höfle (Heidelberg) und Martin Rutzinger (Innsbruck) gerne zur Verfügung.

Online Einreichung eines Abstracts: http://www.dkg2017-tuebingen.de/anmeldung-einreichungen/abstracteinreichung/call-for-papers/

Deadline: 31. März 2017

Ablauf der Fachsitzung:

Unsere Fachsitzung stellt aktuelle Forschung unter Verwendung von 3D-Punktwolken aus allen Teilbereichen der Geographie vor. Dadurch soll ein methodischer und auch inhaltlicher Austausch über 3D-Punktwolken innerhalb der Geographie ermöglicht werden. Die Fachsitzung wird mit einem Keynote-Vortrag zu 3D-Punktwolken in der Geographie beginnen und anschließend stellen Sie Ihre  Forschungsbeiträge vor.

Fachlicher Hintergrund:

Zahlreiche Verfahren und Sensoren zur Aufnahme von 3D-Punktwolken sind heutzutage verfügbar und werden immer intensiver in der geographischen Forschung eingesetzt. Die 3D-Geodaten werden unter anderem mit teuren Laserscanningsystemen, mit kostengünstiger 3D-Photogrammetrie (z.B. Structure-from-Motion und Dense Matching) oder Time-of-Flight Kameras (z.B. MS Kinect) von unterschiedlichen Plattformen (z.B. Flugzeug, UAV, vom Boden) und in unterschiedlichen räumlichen und zeitlichen Auflösungen erfasst. Die damit erzeugten 3D-Punktwolken werden für physiogeographische sowie auch humangeographische Fragestellungen eingesetzt und konnten sich in den letzten Jahren zu einer sehr wertvollen, genauen und detailreichen 3D-Geodatenquelle für die geographische Analyse entwickeln. Beispiele hierfür sind die Beobachtung von geomorphologischen Prozessen, Waldbeständen oder landwirtschaftlichen Flächen (vgl. http://dx.doi.org/10.1016/j.rse.2016.08.018) oder auch die Berechnung der potenziellen Solarstrahlung im dreidimensionalen Raum (z.B. an Gebäudefassaden) für Fragestellungen der Wirtschafts- und Stadtgeographie (vgl. http://dx.doi.org/10.1016/j.compenvurbsys.2013.01.001).

Ziel dieser Fachsitzung ist es, aktuelle Forschung unter Verwendung von 3D-Punktwolken von verschiedensten Sensoren und auch aus allen Teilbereichen der Geographie zusammen zu bringen. Dadurch soll ein methodischer und inhaltlicher Austausch (über die Forschungsthemen der Physio- und Humangeographie) innerhalb der Geographie ermöglicht werden. Insbesondere aufgefordert werden innovative Beiträge zur Erfassung, geographischen Analyse, Visualisierung und Anwendung von Punktwolken in der Geographie. Zudem sollen aktuellste Methoden (z.B. zur Analyse von Punktwolken in GIS oder Geodatenbanken, Visualisierung im Web) der Geoinformatik und Fernerkundung vorgestellt werden. Die Kombination aus Methodenentwicklung und geographischer Analyse in der vollen Themenbreite der Geographie soll neue Ideen und Kooperationen zwischen den Teilnehmer/-innen der Fachsitzung ermöglichen.

At the Annual Meeting 2017 of the DGPF (German Society for Photogrammetry, Remote Sensing and Geoinformation) GIScience Heidelberg will contribute three talks on 9 March 2017.

  • Citizen Science in Schulen: Entwicklung von 3D-MicroMapping zur Klassifikation von 3D-Punktwolken (Research Project: 3D-MAPP)
  • The Heidelberg LiDAR Operations Simulator HELIOS as a Supporting Tool for Capturing and Preserving Cultural Heritage (Research Project: HELIOS)
  • OSM critical infrastructure in Chile: Analysing the relation between OSM data completeness and territorial vulnerability (Research Project: NEOHAZ)

The three talks are embedded in the sessions of the DGPF Working Group on Geoinformatics which is co-chaired by Heidelberg’s Bernhard Höfle.

The detailed conference program can be found here: https://www.conftool.net/jt2017/sessions.php

Would be great to see you there.

On 7 March 2017 the 3rd PhD Colloquium of the DGK Section on Geoinformatics and the DGPF Working Group on Geoinformatics took place in Würzburg, Germany - organized by Prof. Jan-Henrik Haunert (Bonn) and Bernhard Höfle (Heidelberg).

The presentations covered a wide range of topics (e.g. 3D indoor mapping, air pollution modeling, traffic time series analysis with deep learning) and also from novice to experienced PhD students from all over German universities. Further details on the PhD projects can be found on the Colloquium’s website: http://www.ikg.uni-bonn.de/aktuelles/dokkolloq.html

We had interesting and fruitful discussions in a highly motivated small group. Furthermore, we could enjoy Würzburg’s hugest pizzas after a full day of science.


Many regions of our world are not covered on a map. Maps are however an important tool for planning vaccination campaigns and for ensuring medical supplies. Places that are not covered in a map are in many cases nonexistent for authorities and other organizations. We want to change this situation - with your help- and map the vulnerable places of the world in OpenStreetMap to support the work of the Humanitarian OpenStreetMap Team (HOT) and Missing Maps. Therefore, disastermappers heidelberg / GIScience Research Group and Python Meetup Heidelberg invite you to a collaborative Missing Maps Mapathon!

When? 16.03.2017, 6 pm

Where? Makerspace (DAI), Sofienstraße 12, 69115 Heidelberg

In the Mapathon we will specifically focus on Malaria prone regions. The information we are collecting during our event will be used directly on the ground to predict the location and timing of malaria outbreaks. This will help to take measures to fight the spreading of malaria.

Rebecca Firth (HOT) will be connected to us via Skype to provide information about the HOT Malaria project and the use of the OpenStreetMap data on the ground.

We will moreover give an introduction into OpenStreetMap mapping, therefore there is no previous knowledge necessary. Just bring your own laptop and mouse if available.

Snacks and drinks will for sure be provided!

We are looking forward to seeing you in the Makerspace Heidelberg!

P.S. If you want to get prepared beforehand, you can already create your own OpenStreetMap-Account: https://www.openstreetmap.org/user/new and install the latest JOSM version: https://josm.openstreetmap.de/wiki/Download. Otherwise just come and join us at the Mapathon and we will provide all necessary information!

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 about the tourist and infrastructure recovery is crucial for a “rebranding”- information that is however time and cost-intensive in acquisition using traditional information sources. An alternative data source that has shown great potential for information gathering in other disaster management phases, which was less considered for disaster recovery purposes, is Volunteered Geographic Information (VGI). Therefore, a recently accepted paper introduces a VGI-based methodology to address this task. Initial analyses conducted with Flickr data indicate a potential of VGI for recovery monitoring, whereas the analysis of OpenStreetMap data shows, that this form of VGI requires further quality assurance.
Potentially OSM data could be utilized to estimate the level of reconstruction of highways and buildings, the Flickr data could, in turn, facilitate the monitoring of tourist activity. The results of the data assessment conducted with Flickr data indicate indeed a potential of VGI for recovery monitoring. Nevertheless, the analysis of data from OpenStreetMap shows, that this form of VGI requires further quality assurance and can’t be utilized as simple. Therefore, there are several further steps that need to be taken into consideration to allow better exploitation of this new data sources.The monitoring of the activity of tourist within the Flickr users indicates different pattern before and after the disaster events. While the tourist season in general starts by November and lasts till April/ May, in the year of the disaster the tourist activity seemed to be delayed and dropping again before reaching a similar count considering the year before and after the disaster events.
Finally, the representativeness of Flickr photos is of great concern for this research. The representativeness of Flickr is not very well and needs to be improved. Further analysis could be conducted using different forms of social media and a larger study area to enable confirming the potential trends. The limitations also suggest that VGI data from Flickr are not an exclusive source of geographic information to monitor tourist destination recovery. VGI could hereby be used rather as a complementary source of information to validate official information or add details. Thus, further research could also expand the approaches proposed in this paper to combine VGI and other data sources and thereby help to improve existing resources.

Eckle, M.; Herfort, B.; Yan, Y.; Kuo, C-L.; Zipf, A. (2017): Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations. ISCRAM 2017. 14th International Conference on Information Systems for Crisis Response And Management. Albi, France. (accepted)

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 requirements on behalf of both people and objects. In particular, we will demonstrate the potential of OpenStreetMap-Data for Smart City applications by presenting new and innovative features of OpenRouteService (ORS) with many specialised routing profiles like eBike-routing and further options.

To this end we have been working on an updated OpenRouteService API to provide a richer feature set and more performant computations to deliver faster results for your needs. For example the new Isochrones API is used to determine reachability from given locations. With this is mind we have extended the interface and introduced the possibility to use a set of locations to find intersections of overlapping regions of accessibility.

ORS isochrones

ORS isochrones

Furthermore we are going to showcase OpenRouteService.org developed for catastrophes. This service has the exceptional ability to update itself within very short periods of time. We offer this due to regular updates of street networks by mapping parties or volunteers contributing critical information to OpenStreetMap.

Besides navigation services, we will also present two applications on further information extracted from OpenStreetMap. OSM Landuse Landcover is a WebGIS application to explore OpenStreetMap in terms of specific landuse and landcover information (LULC) classifications. HistOSM visually explores historic objects stored in the OpenStreetMap database. Your visual exploration process is supported by dynamically created statistics showing the top most used object categories in the current map view extent.
Since our services are based on user generated geo-data, we are highly involved in OSM data quality assessment e.g. based on the data’s history. To this end, we provide studies and services to analyze an improve OpenStreetMap data quality e.g. by investigating the data’s generation process or usage of deep learning.

We are more than happy to invite you to visit us at the Smart City Forum (hall 7) at the CeBIT convention in Hannover from the 20-24.03.2017. If you are interested in meeting us there, please let us know (openrouteservice@geog.uni-heidelberg.de) as we can provide you some free tickets.

HeiGIT is being established with core funding by the Klaus Tschira Foundation, Heidelberg.

Die Zeit ist gekommen die Zukunft einer offenen digitalen Gesellschaft umzusetzen. Uns stehen modernste Technologien und komplexe soziale Netzwerkre zur Verfügung, um Daten, Informationen und Wissen weit zu verbreiten und mit allen zu teilen. Jetzt geht es darum in konkreten gemeinsamen Projekten zu zeigen, dass Offenheit und Transparenz unser Zusammenleben verbessern und Demokratie beleben. Denn gesellschaftliche Teilhabe und erfolgreiche Problemlösungen basieren in der vernetzten Wissensgesellschaft vor Allem auf dem freiem Zugang zu Technologien, Infrastrukturen, Informationen, Bildung, Medien und Kultur.

Um aus Zukunft, Gegenwart zu machen, braucht es eine lokale Community, kreative Orte, gute Ideen und den Willen zur Kooperation. Hierfür als Basis, will das DAI-Begeisterhaus am 04.03.2017 das erste „Open Knowledge Lab“ (OKL) in der Metropolregion Rhein-Neckar eröffnen.

Im Rahmen des Open Data Day 2017 am 04.03.2017 sollen die bereits Aktiven zusammengebracht werden und uns mit Vorträgen und Diskussionen zu Themen und Projekten rund um Öffentlichkeit, Offenes Wissen, Open Data, Dateninfrastrukturen, Citizen Science, Mapping, Urbanismus auf einen aktuellen Stand bringen.

Das “Open Knowledge Lab” Heidelberg / Rhein-Neckar wird organisiert unter dem Dach des Begeisterhaus, ein in Entwicklung befindliches Zentrum für offenes Lernen und Arbeiten.

Zur Eröffnungsveranstaltung tragen u.a. disastermapper heidelberg / Mitglieder GIScience Heidelberg bei.

Stellenausschreibung Research & Innovation Manager Geoinformation Technology

Zur Förderung von Technologietransfer und angewandter Forschung im Bereich Geoinformatik wird derzeit mit Grundförderung der Klaus-Tschira Stiftung Heidelberg das Heidelberg Institute for Geoinformation Technology (HeiGIT) aufgebaut. Dies soll zukünftig als An-Institut weitergeführt werden. http://HeiGIT.org Hierfür wird ein Research & Innovation Manager Geoinformation Technology gesucht (100%). Die Aufgaben beinhalten insbesondere:

  • Strategische Konzeption neuer R&D-Aktivitäten, Dienste, Anwendungen und Produkte auf Basis OpenStreetMap, Open Geodata und nutzergenerierten Daten aus dem Social Web, v.a. in Bereichen wie Datenqualität, Mobilität & Navigation, Smart Cities oder Katastrophenmanagement.
  • Koordinierende Schnittstelle zwischen Forschungs- und Entwicklungsaktivitäten der Abteilung Geoinformatik der Uni HD und dem HeiGIT sowie Partnern aus Wirtschaft, Verwaltung und Wissenschaft
  • Wissensmanagement und Technology Development
  • Auftrags- und Projektakquise, sowie –management, Drittmittelakquise im nationalen und internationalen Umfeld, Zusammenarbeit mit den Wissenschaftlern GIScience Heidelberg
  • Koordination von Forschungs- und Entwicklungsarbeiten der drei HeiGIT Kernteams (Navigation IntelligenceBig Spatial Data Analytics, Disaster Management)
  • Kommunikation und Präsentation intern und mit externen Partnern und Nutzern, etc.

Wir bieten eine attraktive Stelle in einem interdisziplinär ausgerichteten dynamischen Team in einem hochaktuellen Wachstumsmarkt. Die Abteilung ist u.a. Mitglied im Interdisziplinären Zentrum für Wissenschaftliches Rechnen (IWR) & Gründungsmitglied des Heidelberg Center for the Environment (HCE). Die Exzellenz-Universität Heidelberg bietet in besonderem Maße ein anregendes interdisziplinäres Forschungsumfeld mit vielen persönlichen Entwicklungsmöglichkeiten.

Wir erwarten ein überdurchschnittlich abgeschlossenes Universitätsstudium in einem der Fächer Geoinformatik, Informatik, Geographie o.ä., idealerweise mit Promotion. Erforderlich sind neben ausgeprägtem Teamgeist, Selbständigkeit und hoher Motivation, v.a. ausgezeichnete Methoden- und Technikkompetenz und Erfahrung im Bereich Geoinformatik, insbesondere entweder im Bereich Navigation Intelligence oder Big Spatial Data Analytics. Erfahrung bei Projektakquise und –management, Marketing und Vertrieb, Koordination und Administration, sowie ausgezeichnete Fähigkeiten zu interner und externer Kommunikation und Präsentation auf Deutsch und Englisch.

Die Stelle ist baldmöglichst zu besetzen und zunächst auf 3 Jahre befristet mit der Option auf nachhaltige Verlängerung. Bewerbungsunterlagen (CV, Zeugnisse, Referenzen, etc.) senden Sie baldmöglichst – bis spätestens 10.03.2017 - bzw. solange bis die Position besetzt ist an zipf@uni-heidelberg.de. Schwerbehinderte werden bei gleicher Eignung vorrangig eingestellt.

Ausschreibung als PDF

Observations of living organisms by citizen scientists that are reported to online portals are a valuable source of information. They are also a special kind of volunteered geographic information (VGI). VGI data have issues of completeness, which arise from biases caused by the opportunistic nature of the data collection process. We examined the completeness of bird species represented in citizen science observation data from eBird and iNaturalist in US National Parks (NPs). We used approaches for completeness estimation which were developed for data from OpenStreetMap, a crowdsourced map of the world. First, we used an extrinsic approach, comparing species lists from citizen science data with National Park Service lists. Second, we examined two intrinsic approaches using total observation numbers in NPs and the development of the number of new species being added to the data-set over time. Results from the extrinsic approach provided appropriate completeness estimations to evaluate the intrinsic approaches. We found that total observation numbers are a good estimator of species completeness of citizen science data from US NPs. There is also a close relationship between species completeness and the ratio of new species added to observation data vs. observation numbers in a given year.
Future work should examine how far the results of this study can be reproduced with citizen science observation data-sets obtained from other projects with different properties, or with the same data-sets used in this study, but for other regions with different observation rates. Another important question is how our approaches would perform if applied to other species groups with different characteristics concerning mobility, detectability, and others. However, for any extrinsic completeness estimation as conducted in this study, there is always the difficulty of finding a suitable extrinsic source of reference data, especially for small focus regions.

Jacobs C. and A. Zipf (2017): Completeness of Citizen Science Biodiversity Data from a Volunteered Geographic Information Perspective. Geo-Spatial information Science, 2017. Taylor & Francis. DOI: 10.1080/10095020.2017.1288424.

(Related work)

VGI-Analytics 2017

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 intertwined between different platforms, both at the application level and at the user side. This means that crowd-sourcing applications nowadays begin to offer opportunities to share data between them during data collection and contribution processes, for example, by tweeting an Instagram image or by viewing a Mapillary image layer while editing OpenStreetMap data.

This advancement on the application side can lead to novel analysis methods of user contribution patterns. Recent data contribution trends show also that geographic data are beginning to be linked across different VGI and social media platforms. As an example, users started to cross-link OSM point of interests (POIs) and street features (e.g. street lamps, sidewalk information) based on Mapillary photographs, or by tagging Flickr pictures with OSM tags to facilitate automatic extraction of descriptive information for Flickr images. This cross-linkage of data between different platforms brings new opportunities and challenges, including questions of data quality and the formation of user communities across platforms. This change in contribution patterns may require different analysis techniques than for data contributed to individual data platforms. The number of VGI and social media platforms is continuously growing, providing new data sets to be analysed.

This workshop provides an opportunity for interested researchers to share ideas and findings on cross-platform data contributions, innovative analysis approaches, current data fusion methods, real-world applications using cross-linked data, and novel crowd-sourcing and social media platforms. It allows participants also to discuss technical questions and innovations on data access.

The Call for Papers includes a call for free open access journal paper submissions which will reviewed and considered for inclusion in a special issue of the journal Geo-spatial Information Science in 2017.

http://explore.tandfonline.com/cfp/est/gsis/si3

GSIS is now an Open Access journal! All article publishing charges (APC) will be covered by Wuhan University, so authors will have the benefits of open access at no cost. Perspective authors are recommended to prepare their manuscript by following the author instructions of the journal GSIS (Also see www.tandfonline.com/tgsi ).

VGI-Analytics 2017: The Organisers

The VGI-Analytics 2017 workshop will be organised and co-chaired by:

  • Peter Mooney: Maynooth University, Ireland; Email: Peter.Mooney@nuim.ie
  • Alexander Zipf: University of Heidelberg, Germany; Email: zipf@uni-heidelberg.de
  • Jamal Jokar: Aalborg University Copenhagen, Denmark; Email: jja@plan.aau.dk
  • Hartwig H. Hochmair: University of Florida, United States; Email: hhhochmair@ufl.edu

They are also the special issue guest editors of the special issue at GSIS.

VGI-Analytics 2017 Topics and Themes

The VGI-Analytics 2017 workshop will discuss, but not be limited to, the following topics and themes:

  • Joint analysis of crowd-sourced VGI/social media data originating from different data sources
  • Technical aspects of crowd-sourced data fusion
  • Spatio-temporal analysis of activity patterns for individual users across multiple VGI and/or social media platforms
  • Quality assessment of VGI/social media data through analysis of data from different platforms
  • Analysis of cross-linked data and cross-link editing methods in VGI and social media platforms and its applications
  • New sources of VGI and social media data
  • VGI across different regions and cultures
  • Semantic issues arising from the conflation or cross-linkage of several different sources of VGI
  • Tailoring VGI for different applications

VGI-Analytics 2017: Important Dates

  • Mar 15 2017: Call for short workshop papers and full journal papers ends. This call is different to the AGILE 2017 call for short papers. In the coming weeks we will update this website with information on how both the short workshop papers and full journal papers will be submitted.
  • Apr 4 2017: Review process ends. Program committee decides on which workshop papers are accepted. The authors of these papers are notified and invited to present their work at VGI-Analytics 2017 workshop.
    The status of the submitted journal papers will also be communicated to authors (accepted/revisions required/rejected). There will be an invitation of authors of journal papers of sufficient quality to present and take part in the workshop;
  • Apr 21 2017: Camera ready copies of workshop papers due; journal paper authors can prepare an abstract of their journal paper for the workshop Website (but don’t need to have their journal paper ready at that time). It should be noted that all outputs from the workshop will be openly available on the VGI-Analytics 2017 workshop website.
  • May 9 2017: VGI-Analytics Workshop at AGILE 2017.
  • May 26 2017: Revisions of journal paper submission due (this gives authors enough time to integrate feedback from the workshop); re-review process begins
  • June 9 2017: Re-review process of journal papers ends; notification of authors
  • June 30 2017: Finalized journal papers due
  • September/October 2017: Special Issue in GSIS published.

VGI-Analytics 2017: Directions and Logistics

The workshop will take place on Tuesday 9th May 2017 as a pre-conference workshop at AGILE 2017 in Wageningen University, The Netherlands.

The AGILE 2017 website will contain information and directions of how to travel to Wageningen University.

REGISTRATION for the VGI-Analytics 2017 will be handled directly with your registration for the AGILE 2017 conference. This webpage will not provide a facility to register for the workshop. There will be a small registration fee for this workshop which is collected by AGILE.

Further information:

Workshop WebSite: http://www.cs.nuim.ie/~pmooney/VGI-Analytics2017/

Journal CFP: http://explore.tandfonline.com/cfp/est/gsis/si3

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