Informatics and GIS Program
Informatics and GIS Program
Informatics and GIS Program
University of California
Informatics and GIS Program

Welcome

IGIS is a new ANR Program established in 2012 to provide GIS support, software, data and training to ANR.

Click here for more information on the components of IGIS: Training, ANR-Flux, InfoBase & Service Center.

Click here for upcoming IGIS training workshops.

IGIS Project Gallery

Polyphagous Shot Hole Borer Mapping

Polyphagous Shot Hole Borer Mapping

This web mapping application has been developed to track the distribution of the Polyphagous Shot Hole Borer (PSHB) in Southern California. PSHB is an invasive pest which attacks many species of trees and carries a pathogenic fungus, posing a major risk to native woodlands, urban trees and commercial avocado orchards. IGIS has created both a public site for viewing the distribution of the pest and a secure site for researchers to edit and add new data.

Visit Web Application

Blog

International Map Year
Posted 9/2/2015 - Did you know that it is International Map Year? 2015-2016.   The International Map Year (IMY) is a worldwide celebration of maps and their unique role in our world. Supported by the United Nations, IMY provides opportunities to...

False precision in the English Lidar release
Posted 9/2/2015 - Great commentary from Martin Isenburgon of LASTools fame on releasing data with false precision. This deals with the new open data release by the Environment Agency in England. So far LiDAR-derived DTM and DSM rasters have...

Fall 2015 ideas..
Posted 9/1/2015 - Here are the tag clouds from this year's GIS class: the why, how and what of our upcoming semester's projects. Word clouds from Wordle. The Why: what are the key problems class members want to focus on...  The How: possible methods we will...

Speaking of Data Viz...
Posted 8/31/2015 -  Check out this cool Google #MapsHack... here!     Google maps+Color= Awesome Art  

Data Visualization of WWII
Posted 8/31/2015 - Here in the Kelly Lab we talk a lot about effective ways to visualize data.  How do we show the true weight and impact of those data we work with?  How do we communicate uncertainty?  I think this fellow Neil Halloran did a pretty great...

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