Welcome to our workshop at the FOSS4G conference for an immersive experience in utilizing openrouteservice, a powerful routing software. Participants will gain practical knowledge on interacting with the service through various clients such as QGIS, R, and Python. Additionally, we will provide comprehensive guidance on setting up a local instance of openrouteservice using Docker, empowering attendees to explore its full potential.
Welcome to this tutorial at AGILE 2024 about walkability and bikeability, and how you can use some open source tools and data to assess this information.
This tutorial is split into several parts. In the sections OpenStreetMap, openrouteservice and NetAScore, you can find some general information about the data and tools that we will be using.
Centrality indicators are used to identify important nodes or edges in graph networks. Applied to road networks these indicators can for example be used to model traffic speed or identify critical roads to support disaster preparedness.
This workshop will provide a platform to discuss and learn about centrality indicators both at a conceptual as well as a technical implementation level. In addition, hands-on sessions on how to calculate centrality indicators using openrouteservice will be offered by the organisers to interested participants.
Description
This repository provides R markdown files and sample data to help you learn how to use openrouteservice, a powerful routing service, directly from R. The scenarios covered in this repository focus on disaster aware routing, specifically dealing with flood-damaged infrastructure. By working through the provided R markdown files, you’ll gain hands-on experience in requesting routes, analyzing travel time differences, and visualizing the results. The accompanying sample data allows you to explore real-world scenarios in the Ahr Valley area affected by a flood.
Whether you’re an R enthusiast or a data professional looking to enhance your routing analysis skills, this repository is designed to equip you with the knowledge and tools to effectively utilize openrouteservice within the R environment.
OSM-Transform ermöglicht es, OpenStreetMap-Daten (PBF-Dateien) zu filtern und mit zusätzlichen Informationen anzureichern. Ziel von OSM-Transform ist, die OSM-Daten für die Verwendung in Routing-Engines wie openrouteservice (ORS) vorzubereiten und zu optimieren.
Description
A training platform for teaching Geoinformation System (GIS) skills for the work in the Red Cross Red Crescent Network. Here you can find training materials for teaching QGIS specific for the work in the Red Cross Red Crescent network for total beginners up to an intermediate level. The training material is centred around the extensive use of practical follow-along exercises and hands-on training.
The focus will be on several components of the openrouteservice and their application in QGIS, using the ORSTools QGIS plugin.
by
The Climate Action Navigator delivers climate action indicators tailored to specific cities. Using a framework of high-resolution spatial indicators, it provides actionable insights through data, maps, and reports co-developed with our partners. The dashboard integrates multiple data sources, including OpenStreetMap (OSM), openrouteservice (ORS), satellite imagery, and scientific research, ensuring comprehensive and reliable insights for decision-makers.
This workshop teaches you how you can accelerate OSM data analysis without the need to run your own computing cluster. We will provide a sneak preview about our new cloud hosted ohsome full history contributions data and will show you how can use it to understand the dynamics in OSM.
Description
These training exercises are designed to support the training with the Sketch Map Tool. The exercises are conceptualized for different aspects of the tool, with different time demands and different (GIS)-knowledge levels. All exercises contain clear instructions for trainers and participants and provide all necessary materials. Introductory slides on the Sketch Map Tool with facilitator notes are available, offering an overview of its features and functionality as well as highlighting its value proposition and the benefits of using it. Additionally, printable factsheets are provided for each exercise, ensuring easy access to the essential information and instructions.
Description
In the context of the Anticipatory Action methodology the conduction of a robust risk assessment is a crucial step towards the development of an Early Action Protocol. A risk analysis serves to understand what kinds of disaster impacts can be expected from a particular type of hazard and to identify who and what is exposed and vulnerable to this hazard and why.
At HeiGIT we have developed a risk assessment workflow that is applicable across different countries and disaster contexts. To make the process more user-friendly, we have chosen to convert it into a QGIS Plugin. This makes it more accessible and easier to use, especially for individuals with limited technical knowledge. The plugin automatically calculates the risk based on the exposure, vulnerability and coping capacity indicators entered by the user.
Description
A training platform for teaching Geoinformation System (GIS) skills for the work in the Red Cross Red Crescent Network. Here you can find all all exercises related to GIS in Anticipatory Action. The training material is centred around the extensive use of practical follow-along exercises and hands-on training.
The workshop will introduce some fundamental concepts of how to work with spatial data by using Covid-19 data for Germany using R and RStudio as the analysis environment. We will cover different possibilities for spatial visualization, measures to identify spatial clusters and will sneak into the definition of spatial neighbourhood definitions and the consideration of spatial regression analysis in presence of spatial auto-correlation.
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Global health Academy
Free geoinformation, methods and software for the benefit of the environment and society.
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Background imagery created with data from OpenStreetMap contributors