Explore our demo notebooks to understand various use cases of Population Dynamics embeddings.

Notebook	Description
Nowcasting Colab	Uses past and partial present-day data for a county-level target variable to predict outcomes for remaining counties.
Superresolution and imputation colab	Helps train a model at the county level on a target variable to predict at the zip code level. Also demonstrates imputation (training on 20% of zip codes and predicting for the remaining 80%).
Forecasting with TimesFM Colab	An experimental use case incorporating TimesFM (a Univariate Forecasting Model) to perform spatiotemporal forecasting, where embeddings adjust for forecast errors and improve accuracy.
Nighttime lights prediction with Earth Engine colab	Illustrates how Earth Engine data, such as nighttime lights, can also be predicted from the embeddings, enhancing geospatial understanding for environmental and socioeconomic forecasting.
Prediction using global embeddings	Illustrates the usage of global embeddings by setting up a multi-country model to predict for a new country.