Abstract
SALoT Map is the impression map of a town that integrates the collective information of snapshots (S), attributes (A) of the person who took snapshots, their locations (Lo) and the descriptive texts (T). It is constructed by the two-stage procedure: classification of snapshots, attributes and locations, and correspondence analysis on words in the texts. Using collective intelligence, SALoT Map method can translate subjective individual impressions into rather an objective comprehensive expression. One hundred and twenty-eight local college students took part in the survey to search landscapes in Kawagoe City in Saitama Pref. that take their fancy. Two hundred and forty-two SALoT data were collected in total. The similarity matrix among the snapshots was estimated from the grouping experiment on the web. Results showed that there were eight landscape categories by cluster analysis, that is, "nature", "modern street", "stele", "object", "The Time Bell", "temple", "retro street" and "old type store". Kawagoe City was divided into seven areas by the distribution of locations, that is, "The Time Bell", "old city", "marginal area", "downtown", "around station", "suburb" and "Kasumigaseki". Results also showed that male students take an interest in the historical and symbolical monuments whereas female students take an interest in the shopping.
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