Making predictions is one of the most important aspects of spatial analysis. ArcGIS enables data preparation for modeling and is host to predictive analytical tools tuned to handle spatial data. In this webinar, you will learn how to use ArcGIS to model and explore spatial data to uncover relationships and predict spatial outcomes. Also, learn how to use geoprocessing tools for feature engineering and data preparation for predictive modeling and how ArcGIS can integrate with machine learning frameworks. Topics covered: • Meet the presenters [00:08] • Introduction to AI in ArcGIS [3:02] • What is Spatial Data Science? [6:37] • Creating models and making predictions [8:03] • Overview of Generalized Linear Regression (GLR) [12:46] • Overview of Geographically Weighted Regression (GWR) [16:19] • Overview of Forest-based Classification & Regression [17:56] • Overview of the modeling workflow [25:05] • Demo #1: Continuous value prediction of house prices using ArcGIS Pro [27:07] • Demo #2: Classification for habitat delineation using ArcGIS Pro [45:01] • Demo #3: Count prediction modeling of death counts using ArcGIS Pro [47:24] • Demo #4: Predictive site selection for real-estate, marketing, and merchandising using ML [49:42] • Resources [57:56] • Q&A [59:25] For more information on ArcGIS spatial analysis and data science tools, please visit https://bit.ly/2xt5z4Y --------------------------------------------------------------------------------------------------- Follow us on Social Media! Twitter: https://twitter.com/Esri Facebook: https://facebook.com/EsriGIS LinkedIn: https://www.linkedin.com/company/esri Instagram: https://www.instagram.com/esrigram The Science of Where: http://www.esri.com