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国勢統計区区分による都市構造の分析 : 金沢市におけるケーススタディー
https://doi.org/10.24517/00011693
https://doi.org/10.24517/00011693bbe36f2d-96bd-4bc0-a42a-e310a4302321
名前 / ファイル | ライセンス | アクション |
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AN00044309-16-1-73-83.pdf (358.0 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2017-10-03 | |||||
タイトル | ||||||
タイトル | 国勢統計区区分による都市構造の分析 : 金沢市におけるケーススタディー | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | A Study on Urban Structure by Census Tract Division : Studies on Urban Structure by Census Tract Division : Studied in a cace of Kanazawa City | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
ID登録 | ||||||
ID登録 | 10.24517/00011693 | |||||
ID登録タイプ | JaLC | |||||
著者 |
川上, 光彦
× 川上, 光彦× 天野, 智順 |
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著者別表示 |
Kawakami, Mitsuhiko
× Kawakami, Mitsuhiko× Amano, Masanori |
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書誌情報 |
金沢大学工学部紀要 = Memoirs of the Faculty of Technology Kanazawa University 巻 16, 号 1, p. 73-83, 発行日 1983-03-30 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0022-832X | |||||
NCID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN00044309 | |||||
出版者 | ||||||
出版者 | 金沢大学工学部 = Faculty of Technology Kanazawa University | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In this paper we have studied urban structure by multivariate analyses using existing data, which are kept Census Tract division, as one of analytical methods to obtain basic materials for the urban planning. Studied in a case of Kanazawa-City 28 analytical indices are gained from several censuses. These indices are selected to show every urban features as much as possible, which are mainly related to land use, population, housing, industrial and commercial activity and building activity. Those are main findings as follows. (1) Census Tract has merits as follows, time series analysis is possible, we can gain many detailed data coded by census tract number and synthetic analysis of urban structure can be possible. (2) It also has demerits as follows, because it is instituted on population basis divided areas have considerable difference in terms of area size, this cause reducing data accuracy especially in regionally spaced ones and area size become smaller according to larger population density and vice versa, this gives difficulty to analyze by mapping data. (3) Factor analysis gives five common factors and urban structure can be analyzed through these factors. Then cluster analysis using common factors gives eight clusters for the district type divided by Census Tract. |
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著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
関連URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://ci.nii.ac.jp/naid/40000512639/ |