Geospatial Analysis

The Geography of Cannabis: Does California’s dual licensing program (de)criminalize cannabis and drive unnecessary anthropogenic activity in remote rural environments?

August 29, 2023
by Chevon Holmes. When California voters (de)criminalized cannabis production, the state’s dual licensure requirement forced local jurisdictions to create permitting programs or uphold prohibition. Many Counties developed ersatz zoning ordinances to regulate cannabis activities and hired staff to administer local permits. As an inspector, administrator, and project planner for Mendocino County from 2017-2021, I visited hundreds of cultivation sites and production facilities where I learned first-hand how two legal pathways impacted the ways in which operators could transition their businesses. This post details a dataset created to track, aggregate, and analyze the relationship between cannabis infrastructure and licensing.

Python Geospatial Data and Mapping: Parts 1-2

October 3, 2023, 9:00am
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.

QGIS Geospatial Fundamentals: Parts 1-2

February 22, 2023, 1:00pm
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.

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.

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.
See event details for participation information.

R Geospatial Fundamentals: Vector Data, Parts 1-2

February 16, 2023, 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.

R Geospatial Fundamentals: Raster Data

February 23, 2023, 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.

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.

CANCELED: R Geospatial Fundamentals: Raster Data

November 29, 2022, 1:00pm
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.