2019 Workshops

Learn how to create interactive data visualizations with only a few clicks.

Along with generating individual maps and graphs, we’ll also look at ways to pull visualizations together into a single data dashboard you can publish online using Tableau Public.

It’s recommended that attendees request a free, academic license for Tableau Desktop (tableau.com/academic/students).

Did you know that people in the Hartford, CT DMA are 27% less likely to buy a new vehicle in the next 12 months compared to the entire country but almost 2.5x more likley to own a subaru? Or that residents in NYC are 12.3 % more likey to recyle glass, plastic or paper during the past year?

This workshop will include a live demonstration of SimplyAnalytics, a powerful yet user-friendly analytics, data visualization, and mapping application with thousands of hyperlocal demographic, business, marketing & health data variables. With SimplyAnalytics you can answer key research questions, make sound business decisions, and understand the socio-demographic and economic conditions of any geographic area in the United States.

Yale University has a vast collection of rare maps. Join Margit Kaye on this session to learn how researchers may conduct primary research using rare maps, and start thinking how you could integrate Yale’s most valuable maps and enhance your GIS applications and projects.

About Margit Kaye: For many years, students, faculty, and visiting scholars pursuing research in the Yale Library’s Map Collection have relied on the knowledge and assistance of Margit Kaye to navigate Yale’s cartographic resources. She has worked with nearly a half-dozen curators, beginning with the collection’s founder, Alexander Vietor. Quickly assuming principal responsibility for public service at the Map Library, she became a constant source of information about the globes, maps, charts, and atlases that make the Yale collection one of the most significant in the world. In 2005, after the discovery of Forbes Smiley’s thefts of maps from Yale and several other collections in the U.S. and Britain, Margit played an essential role in documenting the damage Smiley caused. (Source: Nota Bene, Vol. xxxI, N. 1, spring 2016.) 

Species Distribution Models (SDM) Using Museum Collections and Citizen Science Data
BYOD or Yale NetID to use computer lab

Understanding species’ distributions at regional or global scales may require moving beyond designed studies, which are relatively small scale, to capitalize on museum collections and citizen science projects which represent data spanning entire species ranges.

Digitization efforts and open-source observations databases make these occurrence data available. In this hands-on workshop, participants will review the best-practices in mobilizing collections-based and citizen-science data sources for distribution modeling and fit a basic SDM using R programming environment.

You’ll learn about working with StoryMapJS from Northwestern University Knight Lab. A lightweight, web-based tool, StoryMapsJS allows you to quickly assemble short spatially-grounded narratives.

Because projects in StoryMapsJS privilege linear narration (to the degree of displaying a dashed line between points), it can be a quick way to foreground the connectedness of distributed places, events, or other discrete nodes.

Webinar: Esri StoryMaps Live

• Hear from November’s featured storyteller, Lillian Wang as we discuss the story map Hunt for Delaware Boundary Monuments.
• Learn the basics of building a story map.
• See new enhancements just released in our November update.
• Get your story map questions answered in audience Q&As.

LandScan is an award-winning database developed by the Oak Ridge National Laboratory (ORNL) for the United States Department of Energy. Using an innovative approach including complex algorithms, GIS and remote sensing, LandScan measures daytime movements and collective travel habits of all inhabited land mass, generating a better representation of population density during an average day.

In this Workshop, Jonathan Thompson will introduce the dataset, and demo the East View Geospatial LandScan Population Data Web Application and Web Services that can be accessed through standard GIS software.

This workshop provides a fundamental overview of geospatial analysis using the JavaScript API of Google Earth Engine. We will introduce types of geospatial data, using these data on the Earth Engine platforms, and discuss a host of functionality to visualize and analyze these.

This will also allow people with no experience in GIS to explore the range of analytical capabilities of this platform. Particularly, students will learn how to leverage the power of cloud computing to perform geospatial analysis at a global scale.