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Applications

Browse curated themes that highlight how pyINLA powers real projects. Full example pages per theme are on the way.

Politics & Public Policy

Election analytics, multilevel survey models, and spatial voting patterns.

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Business & Econometrics

Small-area estimation, demand forecasting, and regional performance modeling.

AI / Machine Learning

Time series forecasting vs LSTM and NeuralProphet, Gaussian processes, and state-space models.

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Public Health & Environment

Disease mapping and ecological occupancy with spatial and temporal structure.

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Urban Analytics & Transportation

Mobility and transport demand with spatial random effects and temporal trends.

Sports Analytics

Football match prediction, team rankings, and win probability with Bayesian hierarchical Poisson models.

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Demand Forecasting

Predict passenger volumes, energy loads, retail sales, and resource needs with seasonal and trend models.

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Weather & Climate

Temperature interpolation, spatial-temporal climate modeling, and SPDE-based geostatistics with GHCN data.

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More applications coming soon

We are actively adding new examples across all categories: public health, climate science, econometrics, sports, and more. Each application includes full code, data, and step-by-step explanations.

Public Health: Diabetes Risk Prediction, Scotland Lip Cancer, Ohio Lung Cancer, Gambia Malaria Prevalence, Spain PM2.5 Air Quality
Business & Econometrics: Retail Sales Forecasting
Weather & Climate: Precipitation Forecasting
Education: Bayesian SEM for latent variable models and factor analysis

Have an application to showcase? Email contact@pyinla.org and we will add it to the collection.