Geospatial Data, Maps & Spatial Analysis

R Geospatial Fundamentals: Raster Data

March 16, 2022, 10:00am
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 raster data, which typically represents geographic information in a grid of regular sized cells.

R Geospatial Fundamentals: Vector Data, Parts 1-2

March 7, 2022, 10:00am
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.

Where the Streets Have No Name: Spatial Data in Informal Settlements

February 1, 2022

In our era, with Google Maps on every smartphone, it may feel like spatial data is easy to come by. However, this is not the case for many communities in the world. In particular, for informal settlements, developed “outside state control over urban design, planning, and construction,” accurate maps can be hard to come by. You may open up Google Maps to find a few streets with no names, or sometimes, nothing at all. Informal settlements are...

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.

Analyzing the Bay Area Commute Network with Geopandas and Networkx

February 12, 2021

Hi everyone! I'm one of the D-Lab Data Science Fellows that joined the D-Lab this year. I'm in my second semester of the MCP/MS (City Planning / Transportation Engineering) program. My academic background is actually in Physics, and I've been doing research on radiation detection in urban areas before deciding to come back to school. I hope to bring my physics background and computational skills to the field of urban planning, to better understand and model urban/regional systems using complex systems and computational methods, and to bridge the divide between data science and...

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.

R Census Data Wrangling and Mapping

November 18, 2021, 2:00pm
Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists. Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers. This workshop will introduce three key packages for streamlining census data workflows in R: tigris, tidycensus and tmap. Participants will learn how to download census tabular data for one or more geographic aggregation units or years, download the associated census geographic data and then join these data for analysis and mapping.

R Geospatial Fundamentals: Vector Data: Parts 1-2

October 29, 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 vector data, which encodes location as points, lines and polygons.

Geospatial Data and Mapping in Python: Parts 1-2

October 5, 2021, 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: 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.