#maptimeDavis – Intro to GIS with QGIS

maptime2019Map_CanaryPineLocationsWhen: April 30th, 2019
@ 1:00 – 3:00 pm
360 Shields Library
(DSI Classroom)
Cost:  Totally FREE!
Install QGIS (3.4) – QGIS.org free download
Presenters:  Michele Tobias




Get ready for an introduction to world of GIS Learn and to use open source, community-driven desktop GIS software! Why get into GIS? Today, every major utilizes this skill and it is an invaluable asset to research and data. GIS reveals deeper insights into data, such as patterns, relationships, and situations. It is a powerful set of tools for storing and retrieving data at will, transforming and displaying spatial data from the real world for a particular set of purposes.

This workshop will teach participants GIS through examples in the open source GIS software QGIS. The workshop will cover typical basic GIS software workflow needs such as loading data, changing the way data is displayed, and where to find analysis tools. You can use QGIS anytime at home, for absolutely free on Mac, Linux, or Windows. In addition, participants will learn strategies for finding help with QGIS and tutorials for home learning. There is so much more you can do, learn how!

Bonus: We have Stickers!

How to prepare:

    1. Register for Event.
    2. Bring your laptop with QGIS (3.4) installed – visit QGIS.org for free download.

About QGIS:
QGIS is a free and open source desktop GIS software. Since its initial development in 2002, QGIS has become one of the industry’s leading software options for GIS. QGIS is used by researchers across the world as well as by many California and Federal agencies in the US. QGIS allows users to access a number of other GIS software packages through its graphical user interface including GRASS as well as user-contributed scripts and plug-ins.

#maptimeDavis is brought to you by the UC Davis Library’s Data Management Program & the UC Davis Center for Spatial Sciences with help from several campus clubs and informal learning groups.  Space is generously provided by the Data Science Initiative (DSI).

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