Spatial autocorrelation refers to the degree to which a set of spatial data points are correlated with each other based on their geographic proximity. It is a crucial concept in spatial analysis, indicating that nearby or neighboring locations are more likely to have similar values than those further apart, which can significantly impact statistical inferences and model predictions.