Cartography for Map Figures in Academic Journals & Books (#maptimeDavis)

Nov. 15, 2022, 2 p.m. - Nov. 15, 2022, 4 p.m.

Organizer -

DataLab: Data Science and Informatics

Contact -

datalab-training@ucdavis.edu

Location -

Zoom

Description: In this workshop, participants will learn how to make map figures for academic publications such as journal articles and books.  Participants will learn how to find and understand art specifications from publishers and how to make maps that fit these specifications.  They will also learn strategies for communicating effectively with small maps with limited color pallets.

Learning Objectives

Prerequisites: This workshop is intended for researchers with no previous background in figure creation or design.  Introductory experience with GIS software and concepts will be helpful but are not required.

Participants should plan to have the following for the workshop: A computer with QGIS 3.24+ installed - free open source download at QGIS.org for Mac, Windows, & Linux.

Download the workshop data from this Box Repository: https://ucdavis.box.com/s/ozobvtvehgmsnfrizwb2darqfsoqmmgq"         

Software: QGIS 3.24 (or the current stable release)

Instructor: Michele Tobias          

Instructor Biography: 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 ecosystem 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.    

Registration is closed for this event