GIS, Spatial Analysis and Statistics
Location is the connective thread allowing us to uncover hidden patterns, discover trends in our data or improve predictive modeling. GIS is being used today by statisticians to visualize and explore data, conduct spatial analysis, including the integration of machine learning models, and in the area of big data analytics and data science.
In this webinar, we explore how you can use GIS to easily integrate location and spatial analysis in your workflows. Learn about:
- Bringing location data into your analysis
- Answering spatial questions
- Creating sophisticated statistical and machine learning models
- Modeling and scripting – automating and extending functionality
Questions? Post any questions or comments in the "Reply" area below and our presenters will get back to you.
Additional Resources:
Learn Hub Site - Official Statistics Modernization GIS Curriculum
Workshops & Hands-on Tutorials
Spatial Statistics Toolbox - Documentation
VIDEO - Advancemens in Spatial Analytics, Time-Series Forecasting
Learn Path - Analysis in ArcGIS Pro
