Multispectral images such as multispectral chemical images or multispectral satellite images provide detailed data with information in both the spatial and spectral domains. Many segmentation methods for multispectral images are based on a per-pixel classification, which uses only spectral information and ignores spatial information. A clustering algorithm based on both spectral and spatial inf...

• We explore spatial patterns of restaurants across large UK cities Top-rated tend to be spatially more concentrated around the city center locate close other top Bottom-rated away from each A larger quality difference increases dispersion top-rated To relationship between location and differentiation, we build a dataset over 30,000 rated by TripAdvisor, cities. document several new stylized fa...

We observe with Keck/HIRES the z ≈ 2.5 QSO triplet 1623+27 in order to explore on the scale of a Megaparsec the spatial clustering of C IV absorbers between adjacent sightlines. We find this signal to be significantly weaker than the clustering in velocity on corresponding scales along single sightlines, assuming that the relative velocity of absorbers is dominated by the Hubble flow. This indi...