#maptimeDavis Workshop: Geocoding Address Data: Approaches to Personally Identifiable Data

Feb. 9, 2021, 10 a.m. - Feb. 9, 2021, noon

Organizer -

DataLab: Data Science and Informatics

Contact -

DataLab datalab-training@ucdavis.edu

Geocoding is the process of estimating a real-world location (typically we think of latitude & longitude) from a postal address. In this workshop, we’ll discuss the concepts needed to geocode data, understand options for working with personally identifiable data and non-identifiable data, and gain some hands-on experience with geocoding address data using QGIS, a GIS with a graphical user interface.

An introductory-level understanding of GIS and experience with graphical GIS software is recommended.

QGIS version 3.16 – free & open source graphical GIS program for Mac, Windows, & Linux
A spreadsheet program of your choice (such as Excel, Libre Office Calc, etc.)

Speaker Bio: Michele Tobias is a biogeomorphologist with a background in geospatial methods for ecology. At DataLab, she helps researchers understand and design geospatial methods and workflows, from data collection to spatial analysis to data visualization and cartography. Michele earned her PhD from UC Davis in Geography where she studied California’s sandy beach ecosystm with a mix of traditional phytosociological methods and innovative remote sensing tools. She has a bachelor’s degree in Geography (focused on biogeography) and German (focusing on linguistics) from UCLA and a master’s degree in Ecology (resource ecology & management) from University of Michigan. She worked at the UC Davis Information Center for the Environment as a postdoctoral scholar. Michele’s research interests include applying spatial analysis methods to new avenues of research.


The Zoom link will be sent to in your registration confirmation email.


Registration closes on: Feb. 10, 2021