Where are the important effects in an image or when comparing sets of images? This question comes up when identifying regions of activation in fMRI scans of the brain or when finding geographical regions of extreme climate change. Spatial inference is the statistical process of formally inferring the location of important effects. This includes statistical problems such as peak detection, estimation of excursion sets and determining spatial confidence regions.