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Friday, August 21, 2020 — 2:19 PM to Friday, October 9, 2020 — 8:30 PM EDT

In an effort to serve you better, the Library's Geospatial Centre would like to offer three virtual workshops from October 13th to 16th.

To sign up for a workshop (or for any other inquiries), please email Markus.Wieland@uwaterloo.ca and he will organise the timing with you individually or as a group.

  • Getting started with ArcGIS: 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

  • Getting started with ArcPro: 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

  • Getting started with QGIS: 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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