Category: OSM
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OSM Landuse Data is available in HeiData
We are excited to announce that the data displayed on OSM – Landuse is now freely accessible. These data sets offer valuable insights and can be utilized for various applications. Urban planners will find the data useful for development projects and zoning regulations, while environmental researchers can study land use changes and their impact on…
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ohsome Quality API: New Features
Are you ready to take your OpenStreetMap (OSM) data analysis to the next level? We’re excited to showcase the latest features of our ohsome Dashboard, designed to provide you with insights into OSM data quality. With the ohsome Dashboard, analyzing OSM data has never been easier. Whether you’re interested in evaluating mapping saturation, currentness, or…
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OQT for Food Environments
HeiGIT and the Amsterdam University Medical Centers (UMC) partnered up to investigate food environments through the lens of OpenStreetMap (OSM) data. UMC analyses how exposure to different categories of food related retailers affects health matters. The assumption is that the distance to retailers of a certain category, as well as the number of these retailers,…
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Introducing OhsomeNowStats
OhsomeNowStats allows users to take a look at the mapping activity in OpenStreetMap. This is especially useful for humanitarian organizations and mapathon organizers, because OhsomeNowStats data is updated every 5-10 minutes. Using this tool, user-engagement can be tracked in near real time and used to motivate participants and volunteers alike! By selecting a time range,…
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Analysis of Humanitarian OSM Stats: User activity through HOT-TM and contributing organizations
Introduction In this blogpost we are taking a look at humanitarian mapping through the Tasking Manager (HOT-TM) that is operated by the Humanitarian OpenStreetMap Team (HOT). At HeiGIT we work together with HOT to provide analyses and statistics to further understand mapping activity. Explore the user and mapping stats of all Tasking Manager activites here. Check our blog posts about topics…
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Exploring the Value of Microsoft ML Roads for OSM Data Quality Analysis
The completeness of the OpenStreetMap (OSM) road network has been an ongoing focus for researchers for more than 15 years. For instance, Neis et al. (2011) investigated the OSM street network evolution in Germany and compared it against road data from TomTom. Whereas obtaining reference data has been rather difficult in the past, nowadays we…
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Version 1.0 of the ohsome quality API and ohsome dashboard
At HeiGIT and in particular within the ohsome team, we strive to provide valuable insights into OpenStreetMap (OSM) data. The ohsome API offers aggregated statistics on the evolution of OSM elements since 2020. These are made easily accessible by the ohsome dashboard. With the ohsome quality API, previously called ohsome quality analyst (OQT), we continue…
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Bachelor’s thesis: Using OSM for location analyses of residential real estate projects – an extrinsic analysis of data quality
In his bachelor’s thesis, supervised by HeiGIT’s apl. Prof. Dr. Sven Lautenbach, Lars Reckhaus examined the suitability of OpenStreetMap (OSM) for location analyses in the context of residential real estate projects. Typically, such analyses require the use of a variety of data sources and are mostly performed manually. For this reason, they tend to be…
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Introducing ohsomeNow stats: Real-Time Monitoring for OpenStreetMap Contributions
You can now monitor contributions to OpenStreetMap (OSM) in real time with ohsomeNow stats! We developed this new dashboard as part of our long-term cooperation with the Humanitarian OpenStreetMap Team (HOT), an international organization dedicated to humanitarian action and community development through open mapping. This dashboard replaces the Missing Maps Leaderboard with a comprehensive overview of…
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Integration of OQT into the ohsome dashboard: Computing data quality metrics for OpenStreetMap
The ohsome dashboard has been and continues to be an easy access point to generate accurate statistics about the historical development of OpenStreetMap data for arbitrary regions. Now, the ohsome dashboard got extended to be able to compute data quality metrics for OpenStreetMap through the ohsome quality analyst (OQT) which is also developed by HeiGIT. The source code is now…
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OSM Element Vectorisation Tool Version 1
The IDEAL-VGI research project is nearing its end. And while that won’t be the end of our research into social data sources, data quality analyses and land-use information, we are happy to announce a major outcome: the version 1 release of the OSM Element Vectorisation Tool (OEV). The tool was first presented to the public…
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2022 #30DayMapChallenge Round-Up Part 2: Deleted Maps
Featured photo: The deleted map displays all deleted elements within the analyzed areas (red). Gray rectangles represent deleted buildings. This past November, our teams at HeiGIT and GIScience participated in Topi Tjukanov’s Twitter event #30DayMapChallenge, where mappers display their creativity and ingenuity with a set of 30 daily prompts ranging from colors to specific datasets…