<p>The purpose of this paper is to extract Kansei to rain and to derive a conceptual model for designing spaces that incorporate rain as a component. In order to achieve this purpose, we analyzed Instagram posts using a text mining method. First, we analyzed the co-occurrence of nouns and adjectives in all posts mentioning rain. Next, we conducted correspondence analysis to analyze the characteristic words related to rain in each season. Finally, a conceptual model for the spatial design of rain was proposed by adding theoretical considerations. This conceptual model allows us to understand relationship between spatial scales, phenomenon caused by rain, and activities in rain. This model is useful for designing architecture, green spaces, and landscapes that incorporate rain.</p>
One of the most important issues of nature restoration is how to design the process of social consensus building. The purpose of this paper is to propose a method based on “local milieu” (local as vicinity) to build a consensus in nature restoration project. We have extracted the relationship between stakeholder's interests and the milieu of watershed from practices of the management of the consensus building process in the Ten-noh river restoration project carried out on Sado Island, Niigata Prefecture. “Local milieu” is a characteristic of a region whose specific geographical elements underlie both its natural climate and social conditions. We tried to refine the concept through using it for the management of the project and to show its effectiveness and validity.