Tag: OSM History Analytics
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How to become ohsome part 9 – More ways to access the ohsome API
At long last, welcome back to a new blog post of the “How to become ohsome“-series. As it’s been quite a while since you got an introduction to how to access the ohsome API, we would like to pick up this topic one more time this month. The former post with different ways to access the ohsome API…
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ohsome Region of the Month – August
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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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…
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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,…
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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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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.…
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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…
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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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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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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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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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Recent changes to OpenStreetMap healthcare infrastructure in India
India accounts for nearly 18% of the worlds population. The country is also one of the main carrier of the worlds disease burden. Despite the general increase in life expectancy and decreasing mortality due to communicable diseases and malnutrition in recent years, the numbers of non-communicable diseases are rising substantially. Cardiovascular diseases such as diabetes and…