2021 AGIC Education and Training Symposium

Registration is open! The 2021 Education and Training Symposium is scheduled for October 25 through 29 and will be virtual this year. 

Visit the Symposium Website and register today!

The call for papers has closed but submissions for the Maps & Apps Competition are still being accepted.  Enter your map or app today!


If you have information that should be displayed on these pages, please share it with us. User submissions should be sent to agic_info@land.az.gov

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GIS News

FCC publishes more-accurate nationwide LTE coverage map

Tuesday, August 10, 2021 - 4:34pm

The Federal Communications Commission published its first ever national coverage map of 4G LTE wireless networks, which the agency’s interim chairwoman, Jessica Rosenworcel, called a preview of its future mapping efforts.


GIS and Building Safety

Tuesday, August 10, 2021 - 4:33pm

Building safety has renewed as an important topic after the Champlain Towers South collapse in Surfside, Florida. In light of environmental change being experienced and a variety of factors that can affect the integrity of buildings, this has become more important as buildings become susceptible.


Using GIS to Explore Mars

Tuesday, August 10, 2021 - 4:32pm

Maps are powerful ways for us to appreciate our world. While this is the case on Earth, what about other planets? Recently, the Perseverance rover has landed on Mars, with one of its primary goals being determining life on the planet.


How Maps Affect Perception

Tuesday, August 10, 2021 - 4:32pm

One thing that the COVID-19 pandemic has highlighted is the importance of maps in conveying key data, such as infection trends and active cases. Maps can inform but also deceive, and the pandemic has examples of both. This is also true for other recent disasters such as fires in the Western United States or bushfires in Australia. In fact, deceptive maps have been a long-standing problem that can obfuscate critical information.


Datacubes in GIS

Tuesday, August 10, 2021 - 4:31pm

Datacubes (or data cubes) are a form of data structure, where data are stored in multidimensional arrays (n-D arrays); the data contain one or more spatial or temporal dimensions. Datacubes provide an effective way to apply analysis on spatiotemporal data, where data incorporate both raster and vector data along with potentially other information.



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