Spring 2022 Geographic Information Systems (GIS) Workshops

Date
  • Jan 31, 2022, 1:30 pm3:00 pm
  • Feb 1, 2022, 1:30 pm3:00 pm
  • Feb 2, 2022, 1:30 pm3:00 pm
  • Feb 3, 2022, 1:30 pm3:00 pm
  • Feb 7, 2022, 1:30 pm3:00 pm
  • Feb 8, 2022, 1:30 pm3:00 pm
  • Feb 9, 2022, 1:30 pm3:00 pm
  • Feb 10, 2022, 1:30 pm3:00 pm
  • Feb 14, 2022, 1:30 pm3:00 pm
  • Feb 15, 2022, 1:30 pm3:00 pm
  • Feb 16, 2022, 1:30 pm3:00 pm
  • Feb 17, 2022, 1:30 pm3:00 pm
  • Feb 21, 2022, 1:30 pm3:00 pm
  • Feb 22, 2022, 1:30 pm3:00 pm
  • Feb 23, 2022, 1:30 pm3:00 pm
  • Feb 24, 2022, 1:30 pm3:00 pm
  • Mar 14, 2022, 1:30 pm3:00 pm
  • Mar 15, 2022, 1:30 pm3:00 pm
  • Mar 16, 2022, 1:30 pm3:00 pm
  • Mar 21, 2022, 1:30 pm3:00 pm
Location
Lewis Science Library E-classroom 225, only zoom if noted
Speakers
Sponsors
  • Princeton University Library
  • PICSciE/Research Computing
Event Description

Spring 2022 Geographic Information Systems (GIS) Workshops

Except where noted, classes will be held in the Lewis Science Library E-classroom 225 from 1:30 to 3:00 PM EDT and EST.

 

Introduction to QGIS, January 31 (via Zoom only)

https://libcal.princeton.edu/calendar/events/introqgis

QGIS is an open-source GIS desktop software package. It has many features found in other desktop GIS software, runs on Linux/Unix, MacOS and Windows operating systems, and is available at no cost. Intended for anyone new to GIS technology, students will use QGIS on Windows computers available in the classroom.  The session will show how to load geospatial data, add on-line map services, extract selected data, and make simple maps. The training may also be useful to users of other desktop GIS software.  Please note: this event will be provided through Zoom only. 

How to Create and Collect Geographic Data using QGIS, February 1: 

https://libcal.princeton.edu/calendar/events/createcollectqgis

In this class students will learn how to collect geographic data from Google maps and Google Earth, how to add GPS data to GIS software, and how to georeference a scanned map.  Students will use Google Earth and QGIS installed on classroom computers. 

Select and Analyze Geographic Features and Data with QGIS, February 2: 

https://libcal.princeton.edu/calendar/events/selectanalyzeqgis

QGIS has an excellent interface for exploring and analyzing spatial information. Point, line and area features (vector data) are both geographic objects on a map and records in a table. Such features can be selected by location or by the values stored in a feature’s record. These simple capabilities allow the GIS user to conduct complex analyses.  The session uses data for central New Jersey to calculate the area of land use types near streams, the extent of paved surfaces and other measures.  Students will use QGIS on the classroom’s Windows computers.

 Finding the Best Location using QGIS, February 3: 

https://libcal.princeton.edu/calendar/events/bestlocationsqgis

GIS software allows the user to treat the Earth’s surface as a continuous array of numbers.  Images and raster datasets can be used to rank suitable locations, estimate change and display phenomena such as elevation, precipitation or temperature. The session uses land use, distance from streams and elevation to rank the relative suitability of different areas.  This ‘weighted overlay’ method is useful in a variety of contexts.  Students will use QGIS installed on computers in the classroom.

Using Tables and Maps together in QGIS, February 7:   

https://libcal.princeton.edu/calendar/events/tablesqgis

US Census data can be integrated with GIS boundary files to analyze the spatial relationships of poverty, ethnicity, environmental risk, and other parameters. Hands-on examples will show how to find and download demographic data, how to combine the data with GIS files, and how to view the data in QGIS. The session will assist any GIS user who wants to include tabular data in a spatial analysis.  Students will use QGIS on the classroom’s Windows computers. 

Making Maps and Presentations using QGIS, February 8: 

https://libcal.princeton.edu/calendar/events/mapsqgis

Maps can be extremely effective in communicating knowledge about an area. QGIS has many tools and techniques to design maps. Hands-on exercises will show how to use map-making tools within the software, and introduce common cartographic techniques. The session will discuss how to design maps for a variety of presentation formats.  Students will use QGIS on Windows computers in the classroom. 

Supervised Image Classification using QGIS, February 9: 

https://libcal.princeton.edu/calendar/events/imageprocessqgis

The Semi-Automatic Classification Plugin for QGIS has many tools to download satellite images and to classify satellite images and air photos into land use and land cover categories.  This session will work with Landsat images of New Jersey to conduct a supervised land use/land cover classification.  Students will use QGIS on the classroom’s Windows computers. 

Using Tools to Create Models in QGIS, February 10:  

https://libcal.princeton.edu/calendar/events/createmodelsqgis

GIS users often want to run a process multiple times, changing the inputs, parameters or summaries generated. QGIS has many ways to help users automate processes. The exercises show users how to use graphic tools in the Processing window, how to run models iteratively, and how to extract commands for use in Python scripts.  Students will use QGIS on the classroom’s Windows computers. 

Essential QGIS Tools for Research, February 14:  

https://libcal.princeton.edu/calendar/events/researchtoolsqgis

In this class students will learn how to use GIS tools to calculate distances between two features, road and river lengths within administrative units, the percentage of shared boundaries between two areas, extract information on polygon neighbors between two areas, and will explore many other analysis tools.  Students use QGIS on classroom Windows computers. 

Introduction to ArcGIS Pro, February 15: 

 https://libcal.princeton.edu/calendar/events/introarcgispro

A Geographic Information System (GIS) combines software and digital geographic data to generate maps, tables and interactive analyses of spatial information. Princeton faculty, students and staff use GIS technology to manage resources, explore spatial relationships, and visualize change. The class, intended for those with no previous GIS experience, describes the technology and includes simple exercises to introduce its capabilities.  Students will use ArcGIS Pro installed on the classroom’s Windows computers.

How to Create and Collect Geographic Data using ArcGIS Pro, February 16:  

https://libcal.princeton.edu/calendar/events/createcollectarcgispro

In this class students will learn how to collect geographic data from Google maps and Google Earth, how to add GPS data to GIS software, and how to georeference a scanned map. The exercise will also show how to extract points, lines and areas from the georeferenced map. Students will use ArcGIS Pro installed on the classroom’s Windows computers.

Select and Analyze Geographic Features and Data with ArcGIS Pro, February 17: 

https://libcal.princeton.edu/calendar/events/selectanalyzearcgispro

ArcGIS Pro has a powerful set of software tools to visually explore and analyze spatial information. Point, line and area features (vector data) are both geographic objects on a map and records in a table. Such features can be selected by location or by the values stored in a feature’s record. These simple capabilities allow the GIS user to conduct complex analyses.  The session uses data for central New Jersey to calculate the area of land use types near streams, the extent of paved surfaces and other measures. Students will use ArcGIS Pro installed on the classroom’s Windows computers.

Finding the Best Location using ArcGIS Pro, February 21: 

https://libcal.princeton.edu/calendar/events/bestlocationsarcgispro

GIS software allows the user to treat the Earth’s surface as a continuous array of numbers.  Images and raster datasets can be used to rank suitable locations, estimate change and display phenomena such as elevation, precipitation or temperature. The session uses land use, distance from streams and elevation to rank the relative suitability of different areas.  This ‘weighted overlay’ method is useful in a variety of contexts. Students will use ArcGIS Pro installed on the classroom’s Windows computers.

Using Tables and Maps together in ArcGIS Pro, February 22 (via Zoom only):

https://libcal.princeton.edu/calendar/events/tablesarcgispro

ArcGIS Pro has many different ways to access data sets, display them in a map, and analyze relationships over time and space. US Census data can be integrated with GIS boundary files to analyze the spatial relationships of poverty, ethnicity, environmental risk, and other parameters. Hands-on examples will show how to find and download demographic data, how to combine the data with GIS files, and how to view the data in Pro. The session will assist any GIS user who wants to include tabular data in a spatial analysis. Please note: this event will be provided through Zoom only.  Students will use ArcGIS Pro installed on the Princeton Virtual Desktop.

Making Maps and Presentations using ArcGIS Pro, February 23 (via Zoom only):   

https://libcal.princeton.edu/calendar/events/mapsarcgispro

Maps can be extremely effective in communicating knowledge about an area. ArcGIS Pro has a variety of tools and techniques to design maps. Hands-on exercises will show how to use map-making tools within the software, and introduce common cartographic techniques. The session will discuss how to design maps for a variety of presentation formats. Please note: this event will be provided through Zoom only.  Students will use ArcGIS Pro installed on the Princeton Virtual Desktop.

Supervised Image Classification using ArcGIS Pro, February 24:

https://libcal.princeton.edu/calendar/events/imageprocessarcgispro

ArcGIS Pro has many tools to classify satellite images and air photos into land use and land cover categories.  This session will introduce the Raster Functions pane and the Image Classification Wizard, and will work with Landsat images of New Jersey to conduct a supervised land use/land cover classification. Students will use ArcGIS Pro installed on the classroom’s Windows computers. 

Using ModelBuilder in ArcGIS Pro, March 14:  

https://libcal.princeton.edu/calendar/events/modelbuilderarcgispro

GIS users often want to run a process multiple times, changing the inputs, parameters or summaries generated. ArcGIS Pro has many ways to help users automate processes. The exercises show users how to use graphic tools in ModelBuilder, how to run models iteratively, and how to extract arcpy commands for use in Python scripts. Students will use ArcGIS Pro installed on the classroom’s Windows computers.

Essential ArcGIS Pro Tools for Research, March 15:  

https://libcal.princeton.edu/calendar/events/researchtoolsarcgispro

In this class students will learn how to use GIS tools to calculate distances between two features, road and river lengths within administrative units, the percentage of shared boundaries between two areas, extract information on polygon neighbors between two areas, and will explore many other analysis tools. Students will use ArcGIS Pro installed on the classroom’s Windows computers.

Create Web Mapping Applications Using ArcGIS Story Map, March 16:  

https://libcal.princeton.edu/calendar/events/storymaparcgispro

Interactive maps that run from a browser have become the default way to view geographic data.  The exercises show users how to post geographic data to the University’s ArcGIS Enterprise portal, how to create web maps from different data sets, how to use symbology to make the web map accessible and clear, and how to share the web map as a web application. Students will use the classroom’s Windows computers to access ArcGIS Online and other web services.

Collecting Geographical Data using Apps and Geocoding addresses and Place names, March 21:

https://libcal.princeton.edu/calendar/events/geocodingarcgispro

In this class students will learn how to create and use popular online and offline ArcGIS field data collection apps such as Collector, Survey 123, and QuickCapture. Students will also learn how to geocode addresses and place names.