{"created":"2024-04-23T01:57:21.348574+00:00","id":2002541,"links":{},"metadata":{"_buckets":{"deposit":"6e0db9f5-15d2-47fb-be12-c6c35360b6b1"},"_deposit":{"created_by":10,"id":"2002541","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"2002541"},"status":"published"},"_oai":{"id":"oai:fra.repo.nii.ac.jp:02002541","sets":["12:14:1716951426151"]},"author_link":["2059"],"control_number":"2002541","item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1982-12","bibliographicIssueDateType":"Issued"},"bibliographicNumberOfPages":"24","bibliographicPageEnd":"140","bibliographicPageStart":"117","bibliographicVolumeNumber":"33","bibliographic_titles":[{"bibliographic_title":"日本海区水産研究所研究報告","bibliographic_titleLang":"ja"},{"bibliographic_title":"Bulletin of the Japan Sea Regional Fisheries Research Laboratory","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"As the data for the purpose of this analysis, 20 species of benthic organisms caught with beam trawl at 20 stations off the coast of Tottori Pref. are used. Statistical methods compared in this investigation are as follows; 1) Principal component analysis .. .. Species and Stations are classified with score and factor loading calculated from the variance and covariance matrix or the correlation matrix of species or stations. 2) Dendrogram - - - Clusters are combined by a minimum method. Similarity indices as distance are correlation coefficient, standardized Euclidean distance, Morishita's Cλ index, Kimoto's Cn index, Odam's PD, and Whittaker's PS. 3) Polar ordination with Phytagorean distance. According to those methods, the following results are obtained; 1) The correlation matrix should be applied to the classification. An addition of O-point in relation to score and minimum spanning tree are necessary for the correct judgement. A logarithm transformation was not necessary for this data. Distributions of condition factors on a 2-dimensional diagram of score or factor loading of stations make it easy to judge the influence of c ondition factors. 2) The correlation coefficient and Cn index are better for the similarity index. 3) Polar ordination is too subjective for analysis. Thus, it may not be applicable for the purpose.","subitem_description_language":"en","subitem_description_type":"Abstract"},{"subitem_description":"1981年7月,鳥取県沿岸イタヤガイ漁場で行なつた貝桁網調査の採集個体数のデータに種々の統計的手法をほどこして,種および調査点の類別を検討した.手法として適当であると判断したのは,相関行列からの主成分分析で,スコアーでは0点(- P0)の追加,最小距離樹形図の作成等が必要であるが,環境要素の書き込みが可能で全体像を容易につかむことができる.データによつては対数変換も有効であると考えられる.最短距離法によるデンドログラムも有効で,類似度指数としてはCnと相関係数がよい.Cnは全データに使用できるので,種の選択による偏りを防止するのに有効である.しかし,種ごとの寄与に差がある.生物相は水深にそつて分布しており,今回の結果は外海に面した平担な砂浜域の特徴であると考える.","subitem_description_language":"ja","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本海区水産研究所","subitem_publisher_language":"ja"},{"subitem_publisher":"Japan Sea Regional Fisheries Research Laboratory","subitem_publisher_language":"en"}]},"item_10002_relation_16":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"js_k_33_117_140","subitem_relation_type_select":"Local"}}]},"item_10002_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"日本農学文献記事索引(agriknowledge)"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://agriknowledge.affrc.go.jp/RN/2010263729","subitem_relation_type_select":"URI"}}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00186380","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0021-4620","subitem_source_identifier_type":"PISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Akamine, Tatsuro","creatorNameLang":"en"},{"creatorName":"赤嶺, 達郎","creatorNameLang":"ja"},{"creatorName":"アカミネ, タツロウ","creatorNameLang":"ja-Kana"}],"familyNames":[{"familyName":"Akamine","familyNameLang":"en"},{"familyName":"赤嶺","familyNameLang":"ja"},{"familyName":"アカミネ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Tatsuro","givenNameLang":"en"},{"givenName":"達郎","givenNameLang":"ja"},{"givenName":"タツロウ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"2059","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"90371822","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=90371822"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"底生生物の分布および種類組成を類別する統計的手法の検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"底生生物の分布および種類組成を類別する統計的手法の検討","subitem_title_language":"ja"},{"subitem_title":"On Statistical Methods in order to Classify the Distributions of Species and the Species Compositions of Stations on benthic organisms","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"10","path":["1716951426151"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-04-23"},"publish_date":"2024-04-23","publish_status":"0","recid":"2002541","relation_version_is_last":true,"title":["底生生物の分布および種類組成を類別する統計的手法の検討"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2025-04-01T05:17:24.962944+00:00"}