As the world grapples with the challenges of climate change, air pollution, and epidemiological forecasting, a crucial yet often overlooked aspect of predictive modeling has come under scrutiny: validation techniques. The ability to accurately forecast spatial phenomena, such as weather patterns or disease outbreaks, hinges on the reliability of these methods, which are used to assess the trustworthiness of predictions made by scientists.
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