Into the World of Online Mapping

Discover the power of cloud-based GIS with Into the World of Online Mapping, the second workshop in our three-part ArcGIS series! This course introduces ArcGIS Online, a self-standing, user-friendly platform for creating, sharing, and collaborating with interactive maps and spatial data.

Who Should Attend?

This workshop is perfect for researchers and PhD students looking to incorporate web-based GIS into their research. No prior GIS experience is required, as ArcGIS Online is intuitive and beginner-friendly. However, familiarity with GIS concepts or completion of Introduction to ArcGIS (part one in this series) is highly recommended for a smoother learning experience.

Goal

Learn how to use ArcGIS Online to collect, analyze, and visualize spatial data, create interactive web maps, and collaborate effectively in a cloud-based environment. Gain the skills to share your research insights with a broader audience using dynamic, web-based tools.

Part of the ArcGIS Series

This workshop is part two of the ArcGIS series:

1. Introduction to ArcGIS for PhD students – Learn GIS basics with ArcGIS Pro (recommended but not required).
2. Into the World of Online Mapping (this course) – Step into cloud-based GIS with ArcGIS Online.
3. StoryMapping with ArcGIS – Create interactive, narrative-driven maps to tell your research story effectively.

Begin your online mapping journey today and transform how you share your research with the world!

What do you learn?

✅ Navigating ArcGIS Online as a self-standing platform
✅ Importing and managing spatial data in the cloud
✅ Designing and customizing interactive web maps
✅ Collaborative tools for sharing and teamwork
✅ Publishing and maintaining professional-quality online maps

Enrollment and course fee

Attendance is free for UG staff and PhD-students, but registration is required.

_{This is a Research Support Hub workshop. The Research Support Hub is a CIT initiative to support all researchers and PhD-candidates throughout the University of Groningen on data management, geo-services, statistics, machine Learning, AI-tools and high performance computing.}