This project centered on conducting variable interpolation to estimate average temperatures across California. The primary objective was to provide a resource for individuals unfamiliar with California's climate, particularly those considering purchasing property in the state. Given the non-uniform distribution of temperature data points across the region, interpolation was essential to approximate values for specific locations.

Variable interpolation adhered to Tobler’s First Law, which establishes a fundamental principle for relating values based on proximity. The project focused specifically on the hottest (August) and coldest (January) months of the year, identifying the hottest and coldest cities for each respective month. This approach allows individuals to acquaint themselves with local temperature patterns and select cities that align with their preferred climate conditions.