Training Course on Leveraging OpenStreetMap for Professional GIS

Training Course on Leveraging OpenStreetMap for Professional GIS

Introduction

Training Course on Leveraging OpenStreetMap for Professional GIS is meticulously designed to equip GIS professionals with the cutting-edge skills and practical knowledge required to effectively integrate and leverage OpenStreetMap (OSM) data within their professional workflows. In today's rapidly evolving geospatial landscape, OpenStreetMap stands out as an invaluable, open-source, and globally crowdsourced geographic dataset, offering unparalleled detail and flexibility. Participants will gain a profound understanding of OSM's architecture, data model, and robust community-driven ecosystem, unlocking its immense potential for data acquisition, spatial analysis, cartographic visualization, and developing innovative GIS solutions across diverse sectors.

The curriculum emphasizes a hands-on approach, combining theoretical insights with practical exercises and real-world case studies. We will delve into advanced techniques for OSM data extraction, data cleaning, data validation, and seamless integration with popular GIS software like QGIS. By mastering the art of harnessing OSM, professionals will significantly enhance their capacity for geospatial problem-solving, foster data-driven decision-making, and contribute to a more interconnected and accurately mapped world. This course is crucial for anyone looking to stay at the forefront of geospatial technology and open data initiatives.

Course Duration

5 days

Course Objectives

1. Efficiently download and filter OpenStreetMap data using Overpass API, Geofabrik extracts, and other advanced tools for specific geographic areas and feature types.
2. Comprehend the intricate OSM data model (nodes, ways, relations, tags) and its implications for data quality and semantic accuracy.
3. Gain hands-on experience with JOSM and iD Editor for precise OSM data editing, validation, and contribution, adhering to OSM community guidelines.
4. Integrate OSM data effortlessly into leading open-source GIS platforms such as QGIS for comprehensive spatial analysis and visualization.
5. Apply advanced techniques for transforming and cleaning OSM data for diverse GIS applications, ensuring data integrity and usability.
6. Utilize OSM road networks for routing algorithms, network analysis, accessibility studies, and urban mobility planning.
7. Design and publish high-quality, thematic maps using OSM data and QGIS cartographic tools for professional presentations and reports.
8. Apply OSM data for urban sprawl analysis, infrastructure mapping, land use mapping, and sustainable development initiatives.
9. Understand the role of Humanitarian OpenStreetMap Team (HOT) and engage in crisis mapping and disaster preparedness efforts.
10. Learn best practices for managing and contributing to Volunteered Geographic Information (VGI) projects, ensuring data accuracy and community engagement.
11. Introduce basic scripting concepts (e.g., Python with OSMnx) for automating OSM data processing and geospatial workflows.
12. Explore techniques for creating interactive web maps using OSM base layers and open-source libraries like Leaflet or OpenLayers.
13. Discuss the ethical implications of using and contributing to crowdsourced geospatial data, including privacy and data bias.

Organizational Benefits

• Leverage free and openly available OpenStreetMap data, reducing reliance on expensive proprietary datasets and licensing fees.
• Access a rich, constantly updated, and globally comprehensive geospatial database for diverse project needs.
• Facilitate more informed and data-driven decisions through robust spatial analysis and visualization capabilities powered by OSM.
• Streamline GIS workflows and accelerate project delivery by integrating readily available and versatile OSM data.
• Foster a culture of innovation by enabling employees to explore new geospatial solutions and engage in collaborative mapping initiatives.
• Support open data initiatives and contribute to a global public good, enhancing the organization's social responsibility profile.
• Utilize a flexible and scalable data source that adapts to evolving project requirements and geographic scopes.

Target Audience

1. GIS Professionals & Analysts
2. Urban Planners & Developers.
3. Environmental Scientists & Researchers.
4. Humanitarian & NGO Workers.
5. Transportation & Logistics Managers
6. Public Health Professionals.
7. Data Scientists & Developers
8. Government & Municipal Employees.

Course outline

Module 1: Introduction to OpenStreetMap and its Ecosystem

• Understanding the philosophy and principles of OpenStreetMap as Volunteered Geographic Information (VGI).
• Exploring the OSM data model: nodes, ways, relations, and tags for representing real-world features.
• Navigating the OSM Wiki and community resources for effective data understanding and contribution.
• Overview of the diverse tools and software within the OSM ecosystem
• Case Study: Analyzing the growth and impact of OSM in a specific region

Module 2: OSM Data Acquisition and Filtering

• Methods for downloading OSM data: Geofabrik extracts, Planet OSM, and custom boundaries.
• Introduction to Overpass API for querying and extracting specific OSM features and attributes.
• Utilizing QGIS plugins for direct OSM data download and integration.
• Filtering and selecting relevant OSM data based on tags and geographical extent.
• Case Study: Extracting all public transportation routes and stops for a city to analyze urban transit accessibility.

Module 3: OSM Data Editing and Contribution

• Hands-on training with iD Editor for beginner-friendly web-based OSM editing.
• Mastering JOSM (Java OpenStreetMap Editor) for advanced, high-volume data mapping and complex feature creation.
• Understanding OSM tagging conventions and ensuring data consistency and quality.
• Techniques for digitizing features from aerial imagery and GPS traces.
• Case Study: Participating in a simulated Missing Maps project to map unmapped areas for humanitarian aid.

Module 4: Integrating OSM Data with QGIS

• Importing OSM data (OSM XML, PBF, GeoJSON) into QGIS.
• Managing OSM layers and symbology within the QGIS environment.
• Performing basic spatial queries and selections on OSM data.
• Joining external attribute tables with OSM geometric features.
• Case Study: Creating a detailed land use map of a neighborhood by integrating OSM building footprints and land use polygons with local census data in QGIS.

Module 5: Advanced Spatial Analysis with OSM in QGIS

• Conducting network analysis (shortest path, service areas) using OSM road networks and QGIS processing tools.
• Performing geoprocessing operations (buffers, clips, intersections) on OSM datasets.
• Utilizing OSM building data for population density analysis and urban vulnerability assessments.
• Analyzing points of interest (POIs) from OSM for site suitability analysis and facility planning.
• Case Study: Identifying optimal locations for new emergency services based on OSM road networks and population distribution.

Module 6: Cartographic Visualization and Map Production

• Designing compelling and informative thematic maps using OSM data in QGIS.
• Applying advanced symbology, labeling, and map layouts for professional outputs.
• Creating map series and automated map production for large areas.
• Exporting OSM-based maps in various formats (PDF, image, web map tiles).
• Case Study: Developing a comprehensive tourism map of a national park, highlighting trails, campsites, and POIs from OSM.

Module 7: Leveraging OSM for Specific Applications

• OSM for Urban Planning: Analyzing urban green spaces, accessibility to public amenities, and pedestrian networks.
• OSM for Disaster Management: Rapid mapping for damage assessment, evacuation routes, and resource allocation during crises.
• OSM for Environmental Monitoring: Mapping deforestation, water bodies, and land cover changes.
• OSM for Business Intelligence: Utilizing OSM data for location analytics, market research, and logistics optimization.
• Case Study: Mapping and analyzing the impact of a recent flood event in a rural area, identifying affected infrastructure and potential shelters using OSM data.

Module 8: Advanced Topics and Future Trends in OSM

• Introduction to OSMnx for Python-based OSM data access, analysis, and visualization.
• Exploring PostGIS for managing large OSM datasets in a spatial database.
• Understanding the role of AI and Machine Learning in enhancing OSM data quality and mapping efforts.
• Discussion on the future of Volunteered Geographic Information (VGI) and open geospatial data.
• Case Study: Building a simple web mapping application using Leaflet.js and OSM base maps to visualize custom spatial data.

Training Methodology

This training will employ a dynamic and interactive methodology to ensure maximum learning and practical skill development:

• Instructor-Led Presentations: Clear and concise theoretical explanations of OSM concepts, GIS principles, and advanced spatial analysis techniques.
• Hands-on Practical Exercises: Extensive computer-based exercises using QGIS, JOSM, iD Editor, and other OSM tools to apply learned concepts.
• Real-world Case Studies & Group Work: Collaborative problem-solving sessions focusing on practical scenarios and real-world geospatial challenges leveraging OSM data.
• Interactive Discussions: Fostering knowledge sharing and critical thinking among participants.
• Q&A Sessions: Dedicated time for addressing participant queries and clarifying complex topics.
• Resource Sharing: Provision of comprehensive training materials, datasets, and useful online resources for continued learning.
• Project-Based Learning: A culminating project where participants apply their skills to a relevant geospatial problem using OpenStreetMap.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.