Instruction schedule

Workshop offerings in Spring Term 2018


Getting Started with ArcGIS

Wednesday, June 27, 2018 -1:00 - 3:00 pm
Dana Porter FLEX Lab (LIB 329)

You may have heard of GIS, but what exactly is it, and more importantly, how can you use it in your own research and academic work?

This introductory workshop presents the basic concepts of GIS and will teach you the skills you need to find geospatial data, map it, and discover new dimensions of information.

By the end of the workshop, you will be able to:

  • Understand what GIS is and geospatial data are
  • Navigate ArcGIS software and tools
  • Find and add data to a map
  • Discover information and attributes about the data
  • Produce a simple map that shares your visualization of the data

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Getting started with ArcPro

Thursday, June 28, 2018 1:00 - 3:00 pm
Dana Porter FLEX Lab (LIB 329)

This is an introduction ESRI's latest connected and optimized GIS software.

The workshop presents the same basic concepts of Getting Started with ArcGIS on the new Arc Pro platform

By the end of the workshop, you will be able to:

  • Understand what GIS is and geospatial data are
  • Navigate ArcGIS software and tools
  • Find and add data to a map
  • Discover information and attributes about the data
  • Produce a simple map that shares your visualization of the data

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Getting started with QGIS             

Friday. June 29, 1:00 - 3:00 pm
Dana Porter FLEX LAB (LIB 329)

Ever wanted to try Open Source GIS but didn’t know where to start?

This workshop builds on “Getting Started with ArcGIS” (a recommended prerequisite for those with no previous GIS experience) but isn’t absolutely necessary.

This workshop introduces users to a different environment to create maps with GIS.

By the end of the workshop, you will be able to:

  • Understand what QGIS is and it’s capabilities

  • Navigate QGIS software and tools

  • Find and add data to a map

  • Discover information and attributes about the data

  • Produce a simple map that shares your visualization of the data

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