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Tag: ohsome

  • Automatic building detection with ohsome2label and Tensorflow

    Accurate and complete geographic data of human settlement is crucial for humanitarian aid and disaster response. OpenStreetMap (OSM) can serve as a valuable source, especially for global south countries where buildings are largely unmapped. In a previous blog, we introduced our recent work in detecting OpenStreetMap missing buildings, so this time we will show you…

  • Becoming ohsome in R – analysis of the completeness of the road network and health sites in Jakarta

    Data quality is an important issue then performing analysis based on OpenStreetMap data. We have recently demonstrated how the effects of the 2013 flood in Jakarta on the accessibility of hospitals and clinics could be analyzed based on network analysis indicators and the isochrones functionality of the openrouteservice. As part of that analysis we analyzed…

  • The ohsome quality analyst goes public on Github with new release 0.3.0

    The ohsome quality analyst (short: OQT) has been introduced at the beginning of this year and today we are proud to announce two updates. First, we  released the new version 0.3.0 which includes new OSM layers and a brand new data quality report. Working on this release has been the first collaboration with MapAction under…

  • ohsomeHeX provides access to OSM feature history

    Did you ever wonder how your city was mapped over time, how geometries were changed and refined, how mistakes were added and corrected again? Then read on: ohsomeHex has a great new feature for you – the individual object’s zoom-in-history-view. To continue in providing valuable insights into the quality and development process of OpenStreetMap data, we…

  • Ohsome Region of the Month Building-Information Analysis

    Welcome back to our blog post series ”ohsome Region of the Month” where you can find information on potential applications of the ohsome API. If you’re new to this format you can also read some of the former blog posts from this series which you can find here (about street networks), here (about railway networks) or here (about forests). This month,…

  • Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

    Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to…

  • Ohsome Green Region of the Month

    Welcome back to the ohsome region of the month format where you can learn and get inspiration about potential applications of the ohsome API. This time we looked at forest-related information in four different Canadian regions looking for the green region of the month, which means there will be a winner announced at the end…

  • Towards a framework for the analysis of local OSM contributions

    Volunteered Geographic  Information (VGI) such as OpenStreetMap (OSM) is often defined as the collaborative acquisition of geographic information and local knowledge by volunteers, amateurs or professionals (Goodchild, 2007). The increasing availability and importance of local data in OSM is largely acknowledged in VGI projects. Local knowledge provides access to a plethora of contextual information and…

  • ohsome-py: Python Package for OSM history analytics published

    As a little Easter present, we published the first version of the ohsome-py Python package today. ohsome-py helps you extract and analyse OpenStreetMap history data using the ohsome API and Python. It handles queries to the ohsome API and converts its responses to Pandas or GeoPandas data frames to facilitate easy data handling and analysis.…

  • New publication on the Impact of Community Happenings in OpenStreetMap

    Online knowledge projects such as OpenStreetMap (OSM) and Wikipedia have gained high importance, trust and even economic value. These projects and their content are maintained and enhanced by online communities that evolve around them. Yet, these communities and their members are often ignored when the respective data or knowledge is used. In a recent publication…

  • Behind the scenes of the ohsome quality analyst (OQT)

    The #ohsome quality analyst (short: OQT) has been online and accessible through its web-interface now for quite some weeks already (see the introductory blog post as a reference). The website is not the only access point to the OQT though. Therefore, the ohsome team at HeiGIT would like to give some insights to the additional…

  • Insights into OpenStreetMap healthcare attributes in India over time

    Last November, we covered the recent increase of healthcare related objects in OpenStreetMap (OSM) in India. In less than a year, the amount of facilities has increased from 6.956 to 48.101. This is mainly due to an import run by RMSI – an Indian GIS consulting company. In this blog we will take a closer look at…