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GIScience Blog

Category: Research

  • Ohsome for Street Network Analysis and Disaster Activation Monitoring

    Disaster mapping activations that are supported by many volunteers with various levels of experience raise questions related to the quality of the provided Volunteered Geographic Information. Learning about the data quality that can be expected in a disaster activation helps to evaluate the quality and fitness for purpose of the OSM data. At the ISCRAM…

  • Ohsome Nepal Dashboard supports admin boundary selection

    The Ohsome Nepal Dashboard has new features to enhance its usability and functionality. The user can now easily select administrative areas of interest through a new map interface. Different administrative levels can be selected by zooming in and out and afterwards just clicking or tapping on that specific region. This convenience feature makes it much faster…

  • Ohsome – a high level architectural overview of the OSM History Analytics platform

    Recently we introduced the ohsome platform for OSM History Analytics. Now we want to give you a high-level overview of the ohsome platform and the components it consists of. Ohsome API The ohsome platform is based on a three-layers API architecture, where the flexibility, as well as the usage-complexity are increasing going from the top to…

  • Identifying the Effects of Mobility Domains on Volunteered Geographical Information: Towards an Analytical Approach

    The production of Volunteered Geographic Information (VGI) is a type of human behavior which emerges via direct and indirect interactions with the physical environments described by these data. The nature of these interactions and the extent to which they rely on physical presence in the mapped area may affect the quality of the resulting digital…

  • Associating OpenStreetMap tags to CORINE land-cover classes using text and semantic similarity measures

    With the aim of rapidly estimating the updated state of the CORINE land-cover map at the frequency with which the OpenStreetMap (OSM) dataset is edited and extended, we propose an approach for automatically associating widely used OSM tags to Level 1 and Level 2 CORINE land-cover classes. This association is probabilistic and is undertaken based…

  • Enhancing Crowdsourced Classification on Human Settlements Utilizing Logistic Regression Aggregation and Intrinsic Context Factors

    Among semi-automated methods and pre-processed data products, crowdsourcing is another tool which can help to collect information on human settlements and complement existing data, yet it’s accuracy is debated. Whereas the potential of crowdsourced datasets for training of machine learning algorithms has been explored recently, only few work has been done towards utilizing machine learning…

  • Routing for Accessibility – new Project with City of Heidelberg

    Accessibility is a widely discussed topic and there are a growing number of efforts to sensitise European cities and municipalities to the topic. A focus of such efforts is the facilitation of easy access to public places for everyone, including those with walking disabilities, balance and visual disorders, as well as people requiring the use…

  • Information Extraction from LiDAR Intensity Data and Multispectral LiDAR Technology

    LiDAR is a consolidated technology for topographic mapping and 3D reconstruction, which is implemented in several platforms On the other hand, the exploitation of the geometric information has been coupled by the use of laser intensity, which may provide additional data for multiple purposes. This option has been emphasized by the availability of sensors working…

  • Colloquium on Change Analysis of Hypertemporal Terrestrial Laser Scanning Point Clouds

    We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Evelyn Schmitz Master student, FARO Europe GmbH & Co. KG, Korntal-Münchingen When: Monday 30.04.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Voxel-based change analysis of hypertemporal terrestrial laser scanning point clouds of the research campus ARENA2036 including…

  • The Ohsome API: dynamic OSM statistics for real-world applications

    The Ohsome API, developed at HeiGIT, is part of the ohsome OSM history analytics platform (and yes, it is pronounced like the word “awesome” 😉.  It serves as the connection between the OpenStreetMap History Database (OSHDB) and possible frontends, such as the Ohsome Nepal Dashboard prototype. The communication with the Ohsome API works via HTTP GET and POST requests as…

  • 4D-LiDAR Snow Cover Monitoring at the Highest Summit of Germany

    The all-new terrestrial laser scanner (TLS) of the 3DGeo group (Prof. Bernhard Höfle) has been set up at the Environmental Research Station Schneefernerhaus over one week (mid of April 2018) to capture a unique highly temporal time series of the melting and degrading snow cover during the April’s week with the warmest daily maximum temperatures…

  • First prize of the GISRUK data challenge

    A team around Prof. Joao Porto de Albuquerque, including our GIScience Heidelberg colleague René Westerholt, has won this years GISRUK data challenge. Big Congratulations! The theme of the data challenge was to find novel and explicitly spatial insights on the Brexit. Our contribution relates the recent influx of foreign people to the Brexit voting outcomes.…