Food choices are an integral part of wellbeing and longevity, yet poor nutrition is responsible for millions of deaths every year. Among the complex mosaic of determinants of food choices are demographic, socioeconomic, physiological, and also cultural. In this work, we explore the connection between educational attainment, as a proxy for cultural capital, and food purchases, as a proxy for food consumption. Unlike existing studies, which use diaries and surveys, we use a large-scale dataset of food-related products purchased from a major retailer in London over the course of one year. By using this high-resolution dataset, we are able to explore the spatial dependence of the various factors impacting food choices, and estimate their direct and indirect spatial effects. We characterize food consumption across two complementary dimensions of (1) diet composition, and (2) diet variety. By building spatial auto-regressive models on these variables, we obtain an improved fit compared to traditional regression, and illustrate the importance of spillover effects. Our results consistently confirm the association between a higher educational attainment and a healthier diet, even when controlling for spatial correlation. First, a low educational level is connected to diets high in carbohydrates and low in fibers. Second, it is also associated with higher consumption of sweets and red meats, while high educational level is linked to a greater consumption of fruits, vegetables, and fish. Third, highly-educated areas show an increased nutritional diversity, together with a lower caloric intake. Finally, we show the presence of spillover effects within the neighboring communities, which would need to be taken in consideration when designing public health policies and interventions.

选择食物是幸福和长寿不可或缺的一部分，但营养不良每年导致数百万人死亡。食物选择的决定因素复杂，其中包括人口统计，社会经济，生理因素以及文化因素。在这项工作中，我们探讨了作为文化资本代理人的受教育程度与作为食品消费代理人的粮食购买之间的联系。与使用日记和调查的现有研究不同，我们使用在一年的时间内从伦敦一家主要零售商购买的食品相关产品的大规模数据集。通过使用此高分辨率数据集，我们能够探索影响食物选择的各种因素的空间依赖性，并估计其直接和间接的空间影响。我们在两个互补的维度上对食品的消费进行了表征：（1）饮食组成和（2）饮食种类。通过在这些变量上建立空间自回归模型，与传统回归相比，我们获得了改进的拟合度，并说明了溢出效应的重要性。我们的结果一致证实，即使在控制空间相关性的情况下，受教育程度较高与饮食健康之间也存在关联。首先，低学历与高碳水化合物和低纤维的饮食有关。其次，它还与较高的甜食和红肉消费有关，而较高的教育水平与较高的水果，蔬菜和鱼类消费有关。第三，受过高等教育的地区显示出更多的营养多样性，并且热量摄入较低。最后，