Forecast methodology for geographic variables that are somewhat related

I'm creating time series forecasts for different geographies and wanted an expert opinion on how I can take into account geographic relationship to improve my model. Is there an algorithm that's suitable for this usecase? Let me know if you need more context

Topic forecasting forecast scikit-learn time-series python

Category Data Science

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