GIS and research visualization

This session provides an overview of geospatial services at campus libraries and how we can support your research visualization. The session will explain how you can access your ESRI account, explore different types of data that can be visualized spatially, and discuss potential solutions for displaying qualitative and quantitative data sets.        

In this session, participants will:          

• Develop and understanding of different data types and how to visualize them.                             
• Discuss different visualization software and what is supported by Campus Libraries.             
• Explore potential research visualization solutions.

This session lays the groundwork for researchers who want to visualize their research and are looking for a practical approach to the project management and data literacy skills needed to be proficient in this area. Attendees will have the opportunity to interact with various visualization software and data types at different stations, and we will end with a hands-on exercise of planning a personal map.

By the end of this workshop, participants will:

• Explore how project management can intersect with research visualization.
• Gain an overview of structured data and the software used to visualize them.
• Create a project management plan to set up the hands-on portion of the following session.

This hands-on session provides an overview of spatial data visualization and how it can be used. Attendees will compare various software and data types, become familiar with popular processes that can be used to map data as well as considerations for symbology. The discussion will be centred on visualizing researcher data and include a hands-on exercise creating a personal map.

By the end of this workshop participants will:

• Gain an overview of spatial data types and software.
• List popular use cases for this type of analysis as well as data considerations.
• Learn considerations to visually encode a data set.
• Create a personal map using basic sewing techniques.

This session provides an overview of key concepts in data visualization and focuses on the top ten do’s and don’ts when creating charts and graphics to communicate your research data. Hands-on examples will be used to explore different tools, as well as design considerations for accessibility.              

By the end of this workshop participants will:

• Gain an overview of data visualization theory.
• List popular tools and considerations to be taken with each.
• Discuss what makes a good vs. bad graphic.
• Explore and discuss effectiveness of different visualizations.

This hands-on session provides an overview of data cleaning and why it is important. Attendees will be introduced to various data cleaning tools and procedures focusing on textual data. Participants will become familiar with navigating the OpenRefine interface and popular workflows. Voyant will be used to create visualize the data by creating wordclouds to see how different workflows impact the textual dataset.

By the end of this workshop participants will:

• Gain an overview of data cleaning and common workflows.
• List popular data cleaning tools and what is supported through the university.
• Explore OpenRefine interface.
• Clean and export a tabular datasets to visualize in word cloud software.

This session provides an overview of supplementary geospatial data sets and how and why they might be used. Focus will be on the Manitoba and Winnipeg data. Attendees will gain insight into tips and strategies for use in working in various platforms. Discussion will be centered on integrating researcher data with these secondary data sources.

By the end of this session participants will:

• Gain an overview of open and proprietary data.
• Explore popular regional datasets.
• Discuss workflows for dealing with file size, data classification, projections and data integration.
   

This hands-on session provides an overview of GIS and how it can be used in research. Participants will learn about best practices and guidelines for conducting their own research. Learners will get a hands-on opportunity to explore the Libraries instance of ArcGIS Online and interact with a project.

Basic

• Gain an overview of GIS as applied to research visualization.
• Discover resources to support research.
• Explore the ArcGIS Online interface.

Intermediate

• Gain an overview of GIS and popular visualization strategies.
• Create a project, load and combine datasets.
• Explore analysis options.

This hands-on session provides an overview of data visualization techniques and instructions on how to apply them in ArcGIS Online. Participants will learn about best practices and guidelines for designing effective StoryMaps. Learners will get a chance to go through the entire design process of creating a narrative with their data for a particular scenario using ESRI tools.

In this session, participants will:

• Gain an overview of data visualization/ storytelling.
• Discover resources for secondary data sets to support research.
• Explore the ArcGIS Online interface.
• Create a basic StoryMap using ESRI tools.

This hands-on session provides an overview of Geographic Information Systems (GIS) and how it can be used. Attendees will compare various GIS software and data types, become familiar with navigating the QGIS interface and procedures for adding and symbolizing data. Discussion will be centered on integrating researcher data with secondary data sources.          

By the end of this workshop participants will:

• Gain an overview of  GIS and popular visualization strategies.
• List popular GIS software and what is supported through the university.
• Explore QGIS interface.
• Load and symbolize tabular data to an existing project. 

This hands-on session provides an overview of Inkscape and how it can be used to create publication quality maps from QGIS. Attendees will be introduced to various tools and procedures focusing on geospatial data. Participants will become familiar with navigating the Inkscape interface and popular workflows. An example layout will be used to see how different tools can be used.

By the end of this workshop participants will:

• Gain an overview of common workflows for exporting from QGIS to Inkscape.
• Explore Inkscape interface using simple examples.
• Clean a layout with multiple maps and textual components.

This hands-on session provides an overview of data dashboards and popular visualization strategies. Attendees will compare various software and data types, become familiar with navigating the PowerBI interface and procedures for adding and symbolizing data. Discussion will be centered on integrating researcher data with secondary data sources.

In this session, participants will:

• Gain an overview of Data Visualization and popular visualization strategies.
• Become familiar with popular visualization software and what is supported through the university.
• Explore PowerBI interface.
• Load and symbolize tabular data to an existing project.

This hands-on session provides an overview of infographics and tools as well as how they can be used. Participants will learn about best practices and guidelines for designing effective infographics and evaluating them. In the latter part of the session attendees will get a chance to go through the entire design process of an infographic for a particular scenario using Piktochart.

In this session, participants will:

• Gain an overview of infographics.
• Discover popular tools and strategies and what is supported through the university.
• Explore Piktochart interface.
• Design a graphic from start to finish (story, layout, visualization selection, font/colour).

This hands-on session provides an overview of network visualization and how it can be used. Attendees will compare various software and data types, become familiar with navigating the Kumu interface and procedures for adding and symbolizing data. Discussion will be centered on visualizing textual researcher data.

By the end of this workshop participants will:

• Gain an overview of network visualization.
• List popular use cases for this type of analysis as well as data considerations.
• Explore Kumu interface.
• Load data, visualize and export network graphics for publication.