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: In this research, we aim to visualize activities in a local community for achieving resident-centered community design utilizing information and communication technology (ICT). For that purpose, we introduced a new core concept of "media spots" not only as places where residents could communicate with one another more frequently than in the other areas but also as a prospective platform to mediate relationality between people, "Mono" as tangible and physically perceived things, and "Koto" as intangible and cognitively conceived things. That is, "media spots" should have the potential to proactively promote resident-motivated communications and activities in local community. We have proposed, in this paper, a visualization method for media spots estimation from residents' location information that uses DBSCAN (density-based spatial clustering of applications with noise) for cleaning enormous amount of raw location information data. The present results suggested that representative points extracted by using DBSCAN could visualize activities in a local community more effectively, and estimate media spots more accurately, than the previously used method.

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