Geospatial Analysis

Python Geospatial Fundamentals: Parts 1-2

March 5, 2024, 2:00pm
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.

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.

GIS & Mapping Community of Practice meetup

February 7, 2023, 11:00am
This month's "welcome back" meetup & pizza social is hosted by the D-Lab! We'll meet in the D-Lab Collaboratory and learn about the D-Lab's services, trainings, and spaces. Plus, of course, opportunities to chat with other folks on campus about what they're doing with GIS & mapping.

Python Geospatial Data and Mapping: Parts 1-2

November 8, 2022, 2:00pm
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.

R Geospatial Fundamentals: Raster Data

December 3, 2021, 12:00pm
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping raster data, which typically represents geographic information in a grid of regular sized cells.

Python Geospatial Data and Mapping: Parts 1-2

February 15, 2023, 10:00am
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.

R Geospatial Fundamentals: Raster Data

April 12, 2022, 2:00pm
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping raster data, which typically represents geographic information in a grid of regular sized cells.

R Geospatial Fundamentals: Vector Data, Parts 1-2

November 7, 2023, 9:00am
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons.

Tracking Urban Expansion Through Satellite Imagery

December 12, 2023
Leïla Njee Bugha
by Leïla Njee Bugha. Among its many uses, remote sensing can prove especially useful to document changes and trends from eras or settings, where traditional sources are either inexistent or infrequently collected. This is the case when one wants to study urban expansion in sub-Saharan countries over the past 20 years. To further remedy the lack of data on land cover uses from earlier time periods, classification methods can be used as well. Using easily accessible satellite imagery from Google Earth Engine, I provide here an example combining remote sensing with classification to detect changes in the land cover in Nigeria since 2000 due to urban expansion.

From paper to vector: converting maps into GIS shapefiles

April 11, 2023
Madeleine Parker
by Madeleine Parker. GIS is incredibly powerful: you can transform, overlay, and analyze data with a few clicks. But sometimes the challenge is getting your data into a form to be able to use with GIS. Have you ever found a PDF or even paper map of what you needed? Or googled your topic with “shapefile” after it to no avail? The process of transforming a PDF, paper, or even hand-drawn map with boundaries into a shapefile for analysis is straightforward but involves a few steps. I walk through the stages of digitization, georeferencing, and drawing, from an image to a vector shapefile ready to be used for visualization and spatial analysis.