MATLAB and Simulink Seminars

MATLAB for Analyzing and Visualizing Geospatial Data

Event Type Start Time End Time
Webex 29 Sep 2021 - 14:00 CEST 29 Sep 2021 - 16:00 CEST

Overview

Accessing and visualizing data is a critical requirement for researchers trying to gain information about and insight from earthquakes. However, sometimes just connecting to and processing the data to prepare it for visualization and analysis can be result in large hurdles and time sinks.

MATLAB has many capabilities for working with and visualizing data, including multiple new features that make handling and viewing geospatial data much easier and require much less coding.

Highlights

  • Access geospatial data from public sourcesDisplay web map data with layers superposed using the Mapping ToolboxWork with big data
  • Reproduce and compare to results of previous research in the field
  • Speed up your MATLAB code with parallel and GPU computing using the Parallel Computing Toolbox, including accessing HPC resources at your site
  • Use the new MATLAB features, such as the new graphics system, date-times, and more

About the Presenter

Loren has worked at MathWorks for over 30 years. For the first 27 of these years, Loren co-authored several MathWorks products in addition to adding core functionality to MATLAB, including major contributions to the design of the MATLAB language. She is currently part of the Application Engineering team, enabling Loren to spend more time and energy working with customers.

For more than 10 years, traveling worldwide over half of each year, Loren delivers more than 150 technical, strategic, and vision-setting presentations yearly to audiences ranging from hands-on problem solvers through high-level executives. 

Loren graduated from MIT with a B.Sc. in physics and has a Ph.D. in marine geophysics from the University of California, San Diego, Scripps Institution of Oceanography. She is a Senior Member of IEEE; and she is co-author on several patent inventions.  Loren writes about MATLAB on her blog, The Art of MATLAB.

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