# Source: city_weather_germany
**Category:** agriculture_environment
**README generated:** 2025-10-02 12:52:18Z

## Source URL(s)
- https://webdav.tuebingen.mpg.de/cause-effect/

## Citation(s)
- J. M. Mooij, J. Peters, D. Janzing, J. Zscheischler, B. Schlkopf. "Distinguishing cause from effect using observational data: methods and benchmarks", Journal of Machine Learning Research 17(32):1-102, 2016.

## Variables (X → Y)

- altitude → precipitation (yearly value averaged over 1961-1990)
- altitude → temperature (average over 1961-1990)
- position(latitude,longitude) → temperature (averaged over 1961-1990)
- longitude → precipitation (yearly value averaged over 1961-1990)

## Causal reasoning

Geographical factors such as altitude, latitude, and longitude causally influence climate variables like temperature, precipitation, and sunshine by determining atmospheric conditions and solar exposure.

## Notes:

Present in the Tübingen dataset.