Filling Gaps: Predicting Neighborhood Characteristics Using Machine Learning
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Learning Outcomes
- Understand the potential of machine learning in the future of planning.
- Learn to use limited neighborhood data to predict outcomes without the expensive costs of administering surveys and questionnaires.
- Examine a prediction model that considers micro-level neighborhood characteristics through small-area estimation.
MORE Course DETAILS
Missing micro-level neighborhood characteristics can constrain our planning practice. How can planners and neighborhood advocates use limited neighborhood data to predict important outcomes for future community-based planning and development without the expensive costs of administering surveys and questionnaires? Learn about a prediction model-building process based on Random Forest Regression.