Name: Machine Learning for Spatial Data
Start: 2023-11-14T14:00:00-06:00
End: 2023-11-14T16:00:00-06:00
Location: John Crerar Library - Kathleen A. Zar Room

Machine Learning for Spatial Data

Research Computing Center

John Crerar Library - Kathleen A. Zar Room

This workshop will provide a general overview of machine learning for spatial data , which will discuss its relevance and potential for spatial analysis. participants will gain an understanding of spatial feature engineering, geospatial data preprocessing, and regression and classification algorithms for spatial data. A few practical examples will be given as well as a vocabulary for further exploration. Hands-on exercises will be conducted in JupyterLab on the Midway3 cluster.

Objectives: 
- Gain a general understanding of machine learning techniques for spatial data analysis
- Understand concepts related to geospatial data preprocessing and regression and classification models
- Learn to leverage High-Performance Computing resources for efficient spatial dataset processing

Level: Introductory

Duration: 2 hours

Prerequisites: Attendees should have a basic familiarity with spatial data/GIS. An RCC account is helpful but not required.

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Machine Learning for Spatial Data

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