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. |
