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.
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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.