Tag: ohsome
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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…
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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…
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Flood Impact Assessment on Road Network and Healthcare Access at the example of Jakarta, Indonesia
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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An ohsome Railway Network Visualization and Analysis
Welcome back to another #ohsome blog post written by our awesome student assistent Sarah! This time we will look at the completeness of railway network data of one specific city in OpenStreetMap, as well as its development. For this we looked at the city of Prague and its completeness of the operator tag. Furthermore, you’ll…
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HeiGIT Services User Feedback Survey – only one more week!
HeiGIT wants to serve you even better. Therefore we are conducting user feedback surveys regarding our various services. If you have ever used one of our OpenStreetMap based Online Services (or will do so now) for whatever purpose, we’d be very happy if you took the time and filled out the respective survey. THANK YOU!…
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Introducing the Ohsome Quality analysT (OQT)
The Ohsome Quality analysT (short OQT) is the name of a new software implemented by HeiGIT that is based on the #ohsome framework. Its main purpose is to compute quality estimations on OpenStreetMap (OSM) data. Any end user such as humanitarian organisations, public administrations, as well as researchers or any other institution or party interested…
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The evolution of humanitarian mapping within the OpenStreetMap community
In the past 10 years, the collaborative maps of OpenStreetMap (OSM) have been used to support humanitarian efforts around the world as well as to fill important data gaps for implementing major development frameworks such as the Sustainable Development Goals (SDGs). In a recently accepted paper we provide a comprehensive assessment of the evolution of…
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ohsome street network analysis part 2
Welcome to part 2 of the #ohsome street network analysis. If you haven’t read the first part yet, you can do so following this link. As promised, this week we are performing a simple tag completeness analysis, where we are looking at the ratio between streets that have the maxspeed tag added and those which…
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Updated OSM Healthcare in Senegal (2020)
OpenStreetMap (OSM) offers many possibilities and holds potential in the area of freely available infrastructure data for the health sector. Nevertheless, it is important to underline that the quality of the information is different in each country, since the mapping activity is strongly affected by the size of the community of volunteers. Monetary barriers prevent…
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ohsome street network analysis part 1
Here we go again: The first #ohsome blog post of 2021. This time, one of our new student assistants Sarah was dealing with street networks and their quality in order to find out which of the selected regions has the most detailed info in OpenStreetMap as well as the best data consistency over the past…
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Accessibility to pharmacies in Germany with 15km Covid-19 restriction
Current lockdown regulations in Germany state that – in many but not all federal states – travel in COVID-19 hotspot regions is only allowed up to 15km distance. This has raised concerns since a 15km radius has been perceived by some as a serious constraint especially in rural regions. Clearly, this might prevent visits to…
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New Jupyter Notebook: Analysis of Access to Health Care using openrouteservice Isochrones API
What is the idea behind the Notebook? In the case of an emergency (e.g. floods, earthquakes, political crisis) it is important to know where the health facilities are located. Furthermore, it is important to identify which cities/districts have a reduced or no access at all to health facilities before an emergency. Many countries still posses…