近年，地方自治体では地域の特色を生かした観光振興が進められている京都府京丹後市は美しい日本海を武器にレジャーや観光を目的とした利用客の獲得に力を入れているが，海水浴場に関しては17ヶ所にも及ぶため個々の細やかな魅力発信はもちろんのこと，個々のアピールポイントを把握するだけでも容易なことではない本論文では，最初に，京丹後市の海水浴場の水深変化を可視化する際に必要となるデータの収集方法と，収集データをもとに水深3Dマップを作成する方法を述べるつづいて，収集データで構成される行列の特異値分解をもとに，水深変化の複雑さと類似性を明らかにできることを示す．

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With the rapid growth of electronic commerce (EC) and direct-to-consumer, retailers, in particular, are required to improve customer experience by promoting online-merges-with-offline (OMO) strategies. In this study, we constructed an inter-product network in brick-and-mortar stores and EC by defining the relationship between products based on the purchase-history data of consumer electronics stores and compared the structure of the network. This study aims to understand customers’ purchasing behavior in both channels and discover knowledge useful for OMO measures. Specifically, we visualize the connection between products using the social network analysis method with the help of the research result that defines the similarity between products based on customer preferences from ID-POS data. The results suggest a difference in the network structure between products formed in physical and e-commerce stores.

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