GIS

Michael Pearce, MA

Instructor
D-Lab

Michael is passionate about cities, technology, and real estate. He has worked in commercial real estate for 10+ years, has a Masters in City Planning, and stared and ran a mapping startup.

Avery Richards

Senior Data Science Fellow
School of Public Health

Avery is an MPH graduate at the School of Public Health. With a background in literature and behavioral health, his current research focuses on innovations in applied epidemiology, including multidisciplinary approaches to health and social science data. Avery's general interests include public health surveillance, data quality assurance, and geospatial analysis.

Katherine Wolf

Adjunct Fellow
Environmental Science, Policy, and Management

Doctoral student in Rachel Morello-Frosch's laboratory in the Department of Environmental Science, Policy, and Management working at the intersection of environmental epidemiology, environmental justice, and causal inference. Particularly interested in developing quantitative methods to investigate the operation of social power in environmental monitoring regimes in the United States.

Geospatial Fundamentals with QGIS: Parts 1-2

March 1, 2022, 3:00pm
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.

Big datasets, small code chunks, and why I use Google Earth Engine

December 17, 2021
Amy Van Scoyoc

Have you ever found yourself in the midst of an analysis when suddenly, out of nowhere, it happens. That tiny, dreaded pinwheel appears indicating an error has occurred. Yes, that's right, they call it the spinning wheel of death. Your application freezes. Everything fades. Did it save?! You clutch your stress ball, watching helplessly as your computer approaches molten temperatures and begins to sputter uncanny, otherworldly sounds. WHIRRRRRRR. Your fate seems to rest on that...

Geospatial Fundamentals with QGIS: Parts 1-2

February 1, 2022, 3:00pm
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.

Geospatial Fundamentals with QGIS: Queries & Joins

October 1, 2021, 10:00am
This workshop will introduce attribute and spatial queries and joins in QGIS. Basic knowledge of QGIS is assumed.

Geospatial Fundamentals with QGIS: Parts 1-2

September 17, 2021, 10:00am
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.

Adding Basemaps In Python With Contextily

October 8, 2020
Patty Frontiera, Ph.D.

If you work with geospatial data in Python, you most likely are familiar with the fantastic GeoPandas library. GeoPandas leverages the power of Maplotlib to enable users to make maps of their data. However, until recently, it has not been easy to add basemaps to these maps. Basemaps are the contextual map data, like Google Maps, on top of which geospatial data are often displayed.

The new Python library...

Data and Tools for Mapping COVID-19

April 28, 2020
Patty Frontiera, Ph.D.

Since the early days of the COVID-19 crisis (the past few months!), the spatial and temporal enormity of the situation has been tellingly conveyed in mapped data visualizations. The most compelling maps, in my opinion, have been those created by the New York Times ….

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