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We are pleased to announce that a book edited by Dr. Jamal Jokar Arsanjani, Prof. Alexander Zipf, Dr. Peter Mooney, and Dr. Marco Helbich,  entitled “OpenStreetMap in GIScience: Experiences, Research, and Applications” is already in-press. The edited book will be published by Springer in its “Lecture Notes in Geoinformation and Cartography” series, edited by Cartwright, W., Gartner, G., Meng, L., Peterson, M.P.. For more detailed information about this series, we refer to the Springer webpage, accessible via the following link http://www.springer.com/series/7418.

Here is the content of the book.



Muki Haklay (Dept of Civil, Environment & Geomatic Engineering, University College London (UCL), UK)

Chapter 1: An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications (Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney, Marco Helbich)

Section 1: Data Management and Quality

Chapter 2: Assessment of logical consistency in OpenStreetMap based on the spatial similarity concept (Peyman Hashemi and Rahim Ali Abbaspour)

Chapter 3: Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets (Jamal Jokar Arsanjani, Peter Mooney, Alexander Zipf, Anne Schauss)

Chapter 4: Improving volunteered geographic information quality using a tag recommender system: The case of OpenStreetMap (Arnaud Vandecasteele & Rodolphe Devillers)

Chapter 5: Inferring the Scale of OpenStreetMap Features (Guillaume Touya, Andreas Reimer)

Chapter 6: Data retrieval for small spatial regions in OpenStreetMap (Roland M. Olbricht)

Section 2: Social Context

Chapter 7: The Impact of Society on Volunteered Geographic Information: The case of OpenStreetMap (Afra Mashhadi, Giovanni Quattrone and Licia Capra)

Chapter 8: Social and political dimensions of the OpenStreetMap project: towards a critical geographical research agenda (Georg Glasze , Chris Perkins)

Chapter 9: Spatial Collaboration Networks of OpenStreetMap (Klaus Stein, Dominik Kremer, and Christoph Schlieder)

Section 3: Network modeling and routing

Chapter 10: Route choice analysis of urban cycling behaviors using OpenStreetMap: Evidence from a British urban environment (Godwin Yeboah, Seraphim Alvanides)

Chapter 11: The Next Generation of Navigational Services using OpenStreetMap data: the Integration of Augmented Reality and Graph Databases (Pouria Amirian, Anahid Basiri, Guillaume Gales, Adam Winstanley, John McDonald)

Chapter 12: Building a Multimodal Urban Network Model Using OpenStreetMap Data for the Analysis of Sustainable Accessibility (Jorge Gil)

Section 4: Land management and urban form

Chapter 13: Assessing OpenStreetMap as an Open Property Map (Mohsen Kalantari, Veha La)

Chapter 14: Investigating the Potential of OpenStreetMap for Land Use/Land Cover Production: A Case Study for Continental Portugal (Jacinto Estima and Marco Painho)

Chapter 15: Using Crowd-Sourced Data to Quantify the Complex Urban Fabric – OpenStreetMap and the Urban–Rural Index (Johannes Schlesinger)

Chapter 16: An outlook for OpenStreetMap (Peter Mooney)

On the occasion of the International Day of Persons with Disabilities, the GIScience group invites interested persons to a joint OpenStreetMap & Wheelmap Mapping Party. This event is part of the EU project CAP4ACCESS.
Have you ever considered how you can get from A to B in (not only) Heidelberg using a wheelchair? Which places are accessible, which are partially accessible and which are not wheelchair accessible at all? Do you want to help improve free information that supports route planning for people with reduced mobility? Then feel free to join our Mapping Party!

Complete invitation: english, german.

Looking forward to see a big mapping crowd next wednesday!

The newly funded multidisciplinary research project MUSIEKE investigates the perceptibility and visibility of cultural heritage in multiple dimensions in urban, landscape, museum and virtual spaces. Three-dimensional (3D) data acquisition, processing, modeling and web-based visualization & analysis will provide fundamental input to the derivation and explanation of complex causal relationships of cultural heritage in time and space. Case study will be the roman city of Ladenburg. The project is funded within the research bridge Nature, Technology and Society (NTS) of the HEiKA – Heidelberg Karlsruhe Research Partnership.

Principle Investigators
Project Partners

Bernhard will now activley contribute to the Digital Earth vision as new Council Member of the International Society for Digital Earth (ISDE).

The next talks of the semester are approaching quickly. We cordially invite you to the following two colloquium talks:

25.11.14, “Algorithms for focus-and-context maps”, Prof. Dr..-Ing. Jan-Henrik Haunert

27.11.14, “Big Earth Observation Databases: infrastructure and spatiotemporal analysis”, Prof. Dr. Gilberto Camara.

Both will be held in the course of this week. You can find more detailed information (e.g., abstracts and venues) on our homepage: http://www.geog.uni-heidelberg.de/gis/veranstaltungen.html

In this workshop, we want to tie two threads of research together: human computation is an important factor in both geoscience and computer vision research. In geosciences, OpenStreetMap is one of the major projects , but this is only one of numerous recent advances. In environmental sciences huge amounts of data are collected, such as high-speed recordings of fluids, thousands of meters of glacier ice drilling cores or satellite data depicting e.g. sand transport in the Sahara desert. In computer vision everything started out with the ESP Game, Peekaboom and the LabelMe tools. Today, crowdsourcing is used in almost every discipline dealing with image data. However, these communities rarely talk with each other. Publications are mainly focused at the disciplines’ top journals with little to no overlap.

Heidelberg University has been an international leader in the usage, analysis and improvement of OpenStreetMap in many domains and applications, reflected e.g. by its graduate school CrowdAnalyser dedicated to this topic. The Heidelberg Center for the Environment (HCE) connects a wide array of research fields ranging from natural sciences to social and cultural sciences. The Heidelberg Collaboratory for Image Processing is one of the largest institutes for computer vision in Germany with more than 80 researchers working in all subfields ranging from machine learning over early vision to scene parsing.

Date: Tuesday, December 9, 2014 @ Heidelberg University

More information on the Workshop and participation can be found here


Daniel Kondermann

Jamal Jokar

Bernd Jähne

Alexander Zipf

Werner Aeschbach-Hertig

Here you find a report on the last Mapping Party at Heidelberg University organized by the Heidelberg Crisis Mappers with Kate Chapman, the Executive Director of the Humanitarian OpenStreetMap Team (HOT) giving a lecture and then there is an invitation to join the upcoming

Crisis Mapping Colloquium

on Wednesday (26 Nov 2014, 16-18 clock,

Dep. of Geography, Heidelberg, Berliner Strasse 48, Big PC pool).

This time you get the chance at a workshop 10000000000000 know the different ways you can use OpenStreetMap. This is the ideal opportunity to deepen your knowledge of GIS or to venture an introduction to GIS in a casual atmosphere.

There is something for everyone:

In a beginner-workshop one learns the basics in using OSM with GIS .

In an intermediate-workshop you can learn how to extract OSM data in various ways, how to process and integrate it with other spatial data and how typical pitfalls can be avoided.

In a profi-workshop we look forward to welcoming a Geography Alumni as lecturer who tells us how to prepare and analyze OSM data with spatial databases.

drinks and meals will be available ;-)

To help us in preparing the workshops, we ask you to register (with the desired workshop) by email to disastermappers@posteo.de.

one map one love

disastermappers heidelberg

mapping party

Location and Dates
The field course will take place from 21-29 April 2015 in Kalavrita in the central/south Gulf of Corinth, Greece. See location here: http://tinyurl.com/k59j7wu
Costs for the field trip will mainly comprise the travel costs to Greece. Further financial support will be organized to lower these costs as much as possible.

Bernhard Höfle and Martin Hämmerle

The availability and coverage of high-resolution and highly accurate 3D point clouds of the Earth surface, including the terrain surface as well as raised objects on the bare earth (e.g. trees and debris), has been increasing tremendously within the last decade. This trend can be attributed to decreasing costs of e.g. ground-based laser sensor systems, which have evolved into standard field equipment in environmental sciences and geography. Knowledge about how to use the 3D technology in the field, process the datasets and interpret the results becomes an invaluable skill for geographers and students in related fields. Recent research examples (videos) of the LiDAR Research Group can be found on our video channel: https://www.youtube.com/user/TheLRGHeidelberg

1) Field Course to Greece (Übung):
In this field course you will learn to acquire 3D data of the landscape, particularly including mountain environments (i.e. outcrops, geomorphology, and archaeologic remains). We will apply the most recent laser scanning technology and also unmanned aerial vehicles (UAVs), i.e. small drones, for data capturing. The field campaign will be performed together with the University of Stavanger (UiS), Norway. The UiS will provide input in the field about the geomorphologic and geologic settings of the study area.
Students participating in the field course only are expected to perform supervised field data capturing and the compilation of a group report, including limited amount of 3D data analysis and interpretation in a post processing step in Heidelberg.

2) Research Group (Kl. Forschergruppe Geoinformatik), includes the field course to Greece:
For Master students participating in the Research Group GIScience (Kleine Forschergruppe Geoinformatik) this field trip is an obligatory and integral part of the entire course. The research group course will mainly include the development of an own research question, methodology and interpretaton of 3D landscape datasets acquired in Greece as well as the compilation of a final research paper summarizing the single research steps and outcomes.

Credits can be gained for the
- Kl. Forschergruppe Geoinformatik (Master), which will preferred in the selection process.

For participants of the field course (Übung) only credits can be assigned to:
- Fachinhalte Physische Geographie (Master)
- Fachinhalte Geoinformatik (Master)
- Angewandte Physiogeographie (Bachelor)
- Angewandte Geoinformatik (Bachelor)

How to apply
Applications for both courses shall be directed to Bernhard Höfle directly via email latest until 11 December 2014. Please state your semester, student ID and the course you want to get credits for (e.g. Kleine Forschergruppe). Obligatory preliminary meeting will take place on Friday, 12 December 2014, 10:15h, seminar room, Berliner Str. 48. Only people attending this meeting can be considered.

Course language
If international students attend the course, it will be held in English.

Limited number of participants
Max. 12 students.

In our new paper we present a systematic literature review on geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa.

563 articles are identified from the searches, from which a total of nine articles and eight geoportals meet inclusion criteria. The review suggests that the spatial dimension of malnutrition is analyzed most often at the regional and national level using geostatistical analysis methods. Therefore, heterogeneous geographic information at different spatial scales and from multiple sources is combined by applying geoinformation analysis methods such as spatial interpolation, aggregation and downscaling techniques. Geocoded malnutrition data from the Demographic and Health Survey Program are the most common information source to quantify the prevalence of malnutrition on a local scale and are frequently combined with regional data on climate, population, agriculture and/or infrastructure. Only aggregated geoinformation about malnutrition prevalence is freely accessible, mostly displayed via web map visualizations or downloadable map images. The lack of detailed geographic data at household and local level is a major limitation for an in-depth assessment of malnutrition and links to potential impact factors.

We propose that the combination of malnutrition-related studies with most recent GIScience developments such as crowd-sourced geodata collection, (web-based) interoperable spatial health data infrastructures as well as (dynamic) information fusion approaches are beneficial to deepen the understanding of this complex phenomenon.

Further reading
Marx, S., Phalkey, R., Aranda, C., Profe, J., Sauerborn, R. & Höfle, B. (2014): Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches. BMC Public Health. Vol. 14(1), DOI: 10.1186/1471-2458-14-1189

This research was funded by the Heidelberg Center for the Environment (HCE) of the Heidelberg University, www.hce.uni-heidelberg.de. We acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG) and Heidelberg University within the funding program Open Access Publishing.


Last week members of the GIScience Research Group were attending the International Conference on Advances in Geographic Information Systems in Dallas. Beside the interesting welcome note given by Luc Vincent talking about the Google Street View project and further follow-up keynote talks, the first conference day was opened up for full day workshops covering various topics of GIScience.

GeoCrowd Workshop & Main Conference

In conjunction with the GIScience conference Johannes Lauer presented results from the Tele Agro+ Project introducing the analysis framework at the transportation workshop. Enrico Steiger was presenting a talk about his past research on detecting public transport flow from social media at the GEOCROWD workshop which was followed by an opening discussion around the emerging topic of volunteered geographic information (VGI) and its future scientific impacts and challenges.

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