This guide provides a centralized link to data and resources available to University of Arizona faculty, staff, and students, as well as for the public. If you have any questions or special request for data, help with your GIS, or maps please use the contact links for library personnel on the left side of the page.
Cool tutorial from Dylan Moriarty of the Wall Street Journal Graphics Dept. on Command-line Mapping:
You can find Dylan on Twitter: @DylanMoriarty
Check out this great data-focused event offered by the Library happening February 15, 2019, 10:30 am to 12:00 pm.
Join us for Data in Everyday Life: Citizen Science to learn how people in our community are helping accelerate innovation by becoming involved in collecting data that supports researchers. Hear about a variety of citizen science projects from researchers at the University of Arizona and non-profit organizations! Refreshments will be served.
GIS Day 2018 Recap
The University of Arizona Libraries (UAL) Office of Innovation & Stewardship (ODIS) hosted a GIS Day on Wednesday, November 14th . In the morning we facilitated a workshop on Geospatial Analysis with Python which was attended by about 15 people. After lunch, a series of lightning talks by students, faculty and staff displayed the variety of ways that GIS and geospatial technology are being utilizes around campus.
GIS Day was also a farewell to outgoing Geospatial Support Specialist, Ben Hickson who is moving on from the Library after 4 years of providing support to faculty and students. Ben was also instrumental in the development of the Spatial Data Explorer that UAL now maintains, which offers access to over 3,000 datasets and maps.
Below are some photos from the event:
USGS OWI Office Producing Geospatial R Tutorials
Over the next couple of weeks, the USGS Office of Water Information is producing consecutive tutorial materials detailing introductory concepts to geospatial analysis using the R language.
Joseph Elfelt with mappingsupport.com gathered a list of more than 1,400 publicly accessible ArcGIS servers and published them in a pdf report. These servers are at the federal level down to the city level. Many of these addresses are not easy to find and only a small fraction of the data layers on these servers are indexed on data.gov. Joseph is actively curating this list with automated code that runs once per week and detects any bad links or other changes that are needed to the list. Available in a pdf here: