Land Use Forecasting
Daniel discusses the challenges of using an ARIMA model to forecast land use from segmented image data spanning 2004 to 2018. While he expresses low confidence in the predictive accuracy of the model, he highlights the value of the segmented images for understanding historical land use trends and making informed future decisions. The insights gained from the data could guide urban planners, despite the uncertainties in the predictions.In this clip
From this podcast
Data Skeptic
Predicting Urban Land Use
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