Tag: intrinsic quality analysis

  • 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.…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • Exploring Localness of OSM Data – An analysis using the ohsome API

    “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 stored in its database,…

  • Neu: Globale OSM History Analysen mit ohsomeHeX v1.0

    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…

  • OSM History Analysis with ohsomeHeX v1.0

    Get valuable insights into the quality and development process of OpenStreetMap data with ohsomeHeX! We are proud to announce a new release that provides a completely redesigned UI that makes it easier to keep track of all relevant information. Choose one or more topics, choose different areas of interest and let ohsomeHeX create comparison graphs…

  • How to become ohsome part 8 – complex analysis with the magical filter parameter

    It’s CITY CYCLING time – some of you may even be involved in your municipality – a good opportunity to have a look on the OpenStreetMap (OSM) cycling ways in our city Heidelberg. Welcome to part 8 of our how to become ohsome blog post series. This time we will show you how to set…

  • ohsome API v1.1 – changes and new functionalities

    Recently we’ve had the first minor release 1.1 of the ohsome API, which brings several new features and upgrades. In the following lines we want to present to you the most important ones. Prior to 1.1, when you were requesting data through one of our data extraction endpoints, you would always get the geometries clipped…