IS&T RCS Vendor Presentation - MATLAB: Geospatial Mapping and Data Analysis (Hands-on)

Accessing and visualizing disparate data is a critical requirement for preparing for natural hazards, such as tsunamis or hurricanes. 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 date, including multiple new features that make handling and viewing geospatial data easier and requiring less coding. During this workshop, we will use MATLAB to analyze the potential risk and impact of tsunamis on coastal communities. This case study will demonstrate how to: Access geospatial data, such as GIS shape files, netCDF, and other common data types Visualize data with different maps and figures Customize maps with relevant features Automate your data import, analysis, and mapping workflows Manage large datasets and best MATLAB coding practices for speeding up your code Find further mapping and geospatial resources