Geospatial Data, Maps & Spatial Analysis

Python Geospatial Fundamentals: Parts 1-2

April 2, 2024, 4:00pm
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.

How can we use big data from iNaturalist to address important questions in Entomology?

February 26, 2024
by Leah Lee. Large-scale geographic data over time on insect diversity can be used to answer important questions in Entomology. Open-source, open-access citizen science platforms like iNaturalist generate huge amounts of data on species diversity and distribution at accelerating rates. However, unstructured citizen science data contain inherent biases and need to be used with care. One of the efforts to validate big data from iNaturalist is to cross-check with systematically collected data, such as museum specimens.

R Geospatial Fundamentals: Parts 1-3

March 11, 2024, 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.

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.

Elena Stacy

Consulting Drop-In Hours: Mon 9am-11am

Consulting Areas: R, Stata, LaTeX, Data Manipulation and Cleaning, Data Sources, Data Visualization, Geospatial Data, Maps & Spatial Analysis, R Programming, Surveys, Sampling & Interviews, Text Analysis, Web Scraping, Regression Analysis, Means Tests, Excel, Git or Github, QGIS, RStudio, Stata

Quick-tip: the fastest way to speak to a consultant is to first ...

Reine Ngnonsse

IUSE Undergraduate Advisory Board
Genetics and Plant Biology

Reine Ngnonsse, an enthusiast for math and technology, delved into tutoring math at a community college through the EOPs program. At UC Berkeley, while pursuing Genetics and Plant Biology, She explored R programming in a CRISPR project. As an intern at Health Career Connection, Reine expanded coding skills in Python, R, and Tableau, igniting a passion for programming. With exposure to Python and Javascript, she can't wait to merge mathematical prowess with coding finesse for innovative solutions.

GIS & Mapping Community of Practice Meetup (January 2024)

January 24, 2024, 11:00am
This month's "welcome back" meetup & 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.

Tracking Urban Expansion Through Satellite Imagery

December 12, 2023
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.

Laura Schmahmann

Instructor
City and Regional Planning

I am a PhD Candidate within the Department of City and Regional Planning at UC Berkeley. My dissertation explores the political economy of warehouse development across California, focusing on two case studies - the Inland Empire and North San Joaquin Valley. I am also a Graduate Student Researcher within the Labor Management Partnerships team at the UC Berkeley Labor Center. I hold a Bachelor of Planning (Honours Class 1) and Master of Philosophy (Planning and Urban Development) both from the University of New South Wales.

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.