ArcGIS
This suite of software applications allow for the collection and management of data,
creation of professional maps, performance of traditional and advanced spatial analysis,
and solution of real problems. This can range from the creation of simple web maps
to complex analytical models.
This software is available to all faculty, staff, and students.
Login:
URL:
Username : 91ÁÔÆæ 9-digit ID
Click Sign In on the upper right corner and then 91ÁÔÆæ Okta. Upon login, you will have access to ArcGIS Online, ArcGIS Pro, and ESRI eLearning resources.
91ÁÔÆæ GIS Day
The 2022 91ÁÔÆæ GIS Day will get held on November 16, 2022 from 5:15 - 8:00 PM at the 91ÁÔÆæ Student Union Meeting Room 4A. The event will showcase a student poster competition along with two keynote presentations including, Chao Liu - GIS for transit: using geospatial solutions for VTA transit projects and Marshall Ballard - Speed dominates collision causes in vision zero analysis. Visit the to learn more and to
2023 Geospatial Review - Call for Proposals
The CSU Geospatial Review (ISSN 2373-5783 & e-ISSN 2373-5791) is accepting submissions for the 2023 CSU Geospatial Review. We will be accepting submissions from now until January 25th.
Articles should pertain to research or educational projects using geospatial methods. Articles should be short (750 words or fewer plus maps and/or photos) and of interest to others in the CSU system who may be considering similar research. Articles with results are favored over proposed work and are not limited solely to ESRI applications. They can also include Remote Sensing platforms, other GIS programs, R or RStudio, and many others.
Please submit your articles by Wednesday, January 25, 2023 to the CSU GIS Specialty Center at gis@sfsu.edu.
GeoAI with ArcGIS
Harness the power of AI and machine learning in ArcGIS to uncover patterns, enhance predictive modeling, and solve spatial problems using location data and advanced analytical tools.
Resources
are available for faculty and staff. If interested, please contact cfeti with the specific course information.
For lab/classroom machines, please contact Susan Huang for server information.
