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Tag Archive 'intrinsic quality analysis'

Hello and welcome back to the ohsome Region of the Month-blog post series where you can read about potential use cases of the ohsome API and maybe even get inspired to send some requests of your own. If you are new to the series you should definitely take a look at former blog posts, for example our last [...]

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OpenStreetMap (OSM) is a global mapping project which generates free geographical information through a community of volunteers. OSM is used in a variety of applications and for research purposes. However, it is also possible to import external data sets to OpenStreetMap. The opinions about these data imports are divergent among researchers and contributors, and the [...]

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The ohsome region of the month blog post series is back and since it’s summer this time we’re taking you to the coast. Before that happens, if this is your first blog post of this format you might want to take a look at former blog posts of this series for example one on railway networks or [...]

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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 [...]

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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 are [...]

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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, we’ll [...]

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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 [...]

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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. [...]

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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 [...]

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Extreme natural events create catastrophic situations for cities and their populations. Due to climate change and anthropogenic activities, the number and intensity of these events has steadily increased at the global scale. Floods are the most common natural disaster worldwide, responsible for economic, social and life losses. Low-income countries have a death rate 23 times [...]

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