Assessing climate impacts and areas at risk requires an interdisciplinary approach, leveraging data from demographics, social sciences, and environmental applications that traditional weather analysis packages are not optimized to handle. GIS technology gives the user virtually limitless potential to analyze and contextualize data from a multitude of observations and models to identify climate patterns and impacts. In this webinar, attendees will learn how to perform mapping and analysis of weather, demographic, and environmental data using ArcGIS software and Python tools for desktop and online environments.
Enhance traditional weather analyses with demographic data and the location of critical assets.
Process complex weather and climate data using machine learning.
Seamlessly share analysis online as maps and information products.
Conduct unique analyses across time and space using GIS.