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Tag Archive 'intrinsic quality analysis'

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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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 [...]

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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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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 [...]

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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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“Local Knowledge” is constituting the exceptional value of Volunteered Geographical Information and thus also considered as an important indicator of data quality. We are interested in how much local information is captured in OpenStreetMap data. In this blog post we explore the temporal evolution of mapping in OSM and the information [...]

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Erhalten Sie mit ohsomeHeX wertvolle Einblicke in die Qualität und den Entwicklungsprozess von OpenStreetMap-Daten!
(see for english version here)
Das HeiGIT Big Data Team freut sich zur Exploration der Veränderungen der globalen Daten in OpenStreetMap nun eine Version 1.0 von ohsomeHeX , dem OSM History eXplorer zu veröffentlichen, die eine komplett überarbeitete Benutzeroberfläche bietet. Diese macht es einfacher alle relevanten [...]

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