Friday, January 30. 1:00 - 4:00 pm PST
ArcGIS Pro is ESRI's flagship desktop GIS software, with powerful and well develop features for making maps, data analysis, and managing your data.
This introductory workshop is designed for participants with little to no GIS experience. Following a brief lecture, the workshop will include an interactive exercise that will have you loading, creating, analyzing and stylizing spatial data, while building your own map with ArcGIS Pro. This exercise will conclude with you exploring the various online data repositories that are available through ArcGIS Online. The following are some of the main tasks you can look forward to completing:
- Explore ArcGIS Pro’s user interface, including how to load and visualize data, and some common geoprocessing workflows
- Create new features and export them as shapefiles
- Combine data layers for analysis or display purposes
- Compose and export a map.
- Explore ArcGIS Pro's integration with data repositories through ArcGIS Online
Registration
This is a free virtual workshop.
Click here to register.
You will receive a Zoom link to attend the training via email during the week leading up to the workshop.
Prerequisites
Participants must have ArcGIS Pro installed with an active license on their personal computer prior to the workshop. Sorry, this application does not function on Apple IOS or MacOS machines.
ArcGIS Pro - UC ANR affiliated participants can request a free ArcGIS Pro license through the IGIS Statewide Program by Clicking Here, and for further directions on setting up your ArcGIS Pro Click Here.
Non-ANR affiliates can sign up for a trial ArcGIS Pro license by Clicking Here.
Please log into your ArcGIS Pro application in advance of the workshop to ensure that it is properly functioning.
If you have technical issues with your account, please e-mail your question(s) to Shane Feirer at stfeirer@ucanr.edu.
Presenters
- Robert Johnson, GIS Programmer, IGIS
- Sean Hogan, Academic Coordinator, IGIS
This work is the result of a collaborative effort between UC ANR IGIS Statewide Program, and the USDA-NIFA/NSF AI Institute for Next Generation Food Systems (AIFS).
