Numerical classification of forested soils in the high-mountain region of Southwestern China
Several numerical classification methods can be used to distinguish classes of soil. The authors used principal component analysis, cluster analysis, discriminant analysis, and a graph-theoretical method (minimum spanning tree). These methods divided 30 forest soil profiles from southwestern China i...
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| Veröffentlicht in: | Soil science 1986-02, Vol.141 (2), p.127-137 |
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| creator | Duning, X Rust, R.H Crum, J.R |
| description | Several numerical classification methods can be used to distinguish classes of soil. The authors used principal component analysis, cluster analysis, discriminant analysis, and a graph-theoretical method (minimum spanning tree). These methods divided 30 forest soil profiles from southwestern China into six groups based on their chemical and physical properties. The numerical classifications corresponded to a traditional soil classification. The groups formed by the numerical methods also corresponded to different forest vegetation types. In this analysis by numerical classification, not only can the soil profiles be divided into different groups, but the delimitation indexes of various soil properties can be established by discriminant functions. |
| doi_str_mv | 10.1097/00010694-198602000-00005 |
| format | Article |
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The authors used principal component analysis, cluster analysis, discriminant analysis, and a graph-theoretical method (minimum spanning tree). These methods divided 30 forest soil profiles from southwestern China into six groups based on their chemical and physical properties. The numerical classifications corresponded to a traditional soil classification. The groups formed by the numerical methods also corresponded to different forest vegetation types. In this analysis by numerical classification, not only can the soil profiles be divided into different groups, but the delimitation indexes of various soil properties can be established by discriminant functions.</description><identifier>ISSN: 0038-075X</identifier><identifier>EISSN: 1538-9243</identifier><identifier>DOI: 10.1097/00010694-198602000-00005</identifier><identifier>CODEN: SOSCAK</identifier><language>eng</language><publisher>Baltimore, MD: Lippincott Williams & Wilkins</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Biometrics, statistics, experimental designs, modeling, agricultural computer applications ; CARACT MORFOLOGICAS (SUELOS) ; CHINA ; CHINE ; CLASIFICACION DE SUELOS ; CLASSIFICATION DES SOLS ; FOREST SOILS ; Fundamental and applied biological sciences. Psychology ; Generalities. Biometrics, experimentation. Remote sensing ; GENESIS DEL SUELO ; HIGHLAND ; PEDOGENESE ; REGION D'ALTITUDE ; SOIL CLASSIFICATION ; SOIL GENESIS ; SOIL MORPHOLOGICAL FEATURES ; Soil science ; Soil surveys, classification and mapping ; Soil surveys, classification and mapping, soil genesis ; SOL DE FORET ; SUELO FORESTAL ; TRAIT MORPHOLOGIQUE DU SOL ; VEGETACION ; VEGETATION ; ZONA DE MONTANA</subject><ispartof>Soil science, 1986-02, Vol.141 (2), p.127-137</ispartof><rights>1986 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27848,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=8677774$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Duning, X</creatorcontrib><creatorcontrib>Rust, R.H</creatorcontrib><creatorcontrib>Crum, J.R</creatorcontrib><title>Numerical classification of forested soils in the high-mountain region of Southwestern China</title><title>Soil science</title><description>Several numerical classification methods can be used to distinguish classes of soil. 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Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Biometrics, statistics, experimental designs, modeling, agricultural computer applications</subject><subject>CARACT MORFOLOGICAS (SUELOS)</subject><subject>CHINA</subject><subject>CHINE</subject><subject>CLASIFICACION DE SUELOS</subject><subject>CLASSIFICATION DES SOLS</subject><subject>FOREST SOILS</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Generalities. Biometrics, experimentation. Remote sensing</subject><subject>GENESIS DEL SUELO</subject><subject>HIGHLAND</subject><subject>PEDOGENESE</subject><subject>REGION D'ALTITUDE</subject><subject>SOIL CLASSIFICATION</subject><subject>SOIL GENESIS</subject><subject>SOIL MORPHOLOGICAL FEATURES</subject><subject>Soil science</subject><subject>Soil surveys, classification and mapping</subject><subject>Soil surveys, classification and mapping, soil genesis</subject><subject>SOL DE FORET</subject><subject>SUELO FORESTAL</subject><subject>TRAIT MORPHOLOGIQUE DU SOL</subject><subject>VEGETACION</subject><subject>VEGETATION</subject><subject>ZONA DE MONTANA</subject><issn>0038-075X</issn><issn>1538-9243</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1986</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNpd0EtLxDAQAOAgCq6rf8BTQPFWTZpHk6MsvmDRw7rgQShpm2yztM2atIj_3pHdk4Ehk-FLMgxCmJJbSnRxRwihRGqeUa0kyeGYQRBxhGZUMJXpnLNjNCMEclKIj1N0ltIWBKe5nKHP16m30demw3VnUvIO8tGHAQeHXYg2jbbBKfguYT_gsbW49Zs268M0jAYq0W4OehWmsf3-uxAHvGj9YM7RiTNdsheHfY7Wjw_vi-ds-fb0srhfZiZXbMxqwZ3OhS1EbarccWOEtJXKeaMs5VJKIY2UqtBOFUo1NdRyC6SpFHGVsGyObvbv7mL4mqCDsveptl1nBhumVFLOlVZEALz6B7dhigP0VlLFtJaSSwbq-qBMgsG4aIbap3IXfW_iT6lkAYsDu9wzZ0JpNhHIeqUkg58Y-wVTl3m4</recordid><startdate>19860201</startdate><enddate>19860201</enddate><creator>Duning, X</creator><creator>Rust, R.H</creator><creator>Crum, J.R</creator><general>Lippincott Williams & Wilkins</general><general>Baltimore :Lippincott Williams & Wilkins Co</general><scope>FBQ</scope><scope>IQODW</scope><scope>7WH</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7SN</scope><scope>C1K</scope></search><sort><creationdate>19860201</creationdate><title>Numerical classification of forested soils in the high-mountain region of Southwestern China</title><author>Duning, X ; Rust, R.H ; Crum, J.R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a283t-c54f925e75cab2f4aa56eb824d8e1466656a66879f8788dc1462e56edb80fb5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1986</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Biometrics, statistics, experimental designs, modeling, agricultural computer applications</topic><topic>CARACT MORFOLOGICAS (SUELOS)</topic><topic>CHINA</topic><topic>CHINE</topic><topic>CLASIFICACION DE SUELOS</topic><topic>CLASSIFICATION DES SOLS</topic><topic>FOREST SOILS</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Generalities. Biometrics, experimentation. 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The authors used principal component analysis, cluster analysis, discriminant analysis, and a graph-theoretical method (minimum spanning tree). These methods divided 30 forest soil profiles from southwestern China into six groups based on their chemical and physical properties. The numerical classifications corresponded to a traditional soil classification. The groups formed by the numerical methods also corresponded to different forest vegetation types. In this analysis by numerical classification, not only can the soil profiles be divided into different groups, but the delimitation indexes of various soil properties can be established by discriminant functions.</abstract><cop>Baltimore, MD</cop><pub>Lippincott Williams & Wilkins</pub><doi>10.1097/00010694-198602000-00005</doi><tpages>11</tpages></addata></record> |
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| ispartof | Soil science, 1986-02, Vol.141 (2), p.127-137 |
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| language | eng |
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| source | Periodicals Index Online; Journals@Ovid Ovid Autoload |
| subjects | Agronomy. Soil science and plant productions Biological and medical sciences Biometrics, statistics, experimental designs, modeling, agricultural computer applications CARACT MORFOLOGICAS (SUELOS) CHINA CHINE CLASIFICACION DE SUELOS CLASSIFICATION DES SOLS FOREST SOILS Fundamental and applied biological sciences. Psychology Generalities. Biometrics, experimentation. Remote sensing GENESIS DEL SUELO HIGHLAND PEDOGENESE REGION D'ALTITUDE SOIL CLASSIFICATION SOIL GENESIS SOIL MORPHOLOGICAL FEATURES Soil science Soil surveys, classification and mapping Soil surveys, classification and mapping, soil genesis SOL DE FORET SUELO FORESTAL TRAIT MORPHOLOGIQUE DU SOL VEGETACION VEGETATION ZONA DE MONTANA |
| title | Numerical classification of forested soils in the high-mountain region of Southwestern China |
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