登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Martini, I. P., Acton, C. J. (1975) Use of Factor Analysis in Interpreting Genetic Processes in Lacustrine Soils of Ontario, Canada. Canadian Journal of Earth Sciences, 12 (10) 1794-1804 doi:10.1139/e75-159

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleUse of Factor Analysis in Interpreting Genetic Processes in Lacustrine Soils of Ontario, Canada
JournalCanadian Journal of Earth Sciences
AuthorsMartini, I. P.Author
Acton, C. J.Author
Year1975 (October 1)Volume12
Issue10
PublisherCanadian Science Publishing
DOIdoi:10.1139/e75-159Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID474274Long-form Identifiermindat:1:5:474274:0
GUID0
Full ReferenceMartini, I. P., Acton, C. J. (1975) Use of Factor Analysis in Interpreting Genetic Processes in Lacustrine Soils of Ontario, Canada. Canadian Journal of Earth Sciences, 12 (10) 1794-1804 doi:10.1139/e75-159
Plain TextMartini, I. P., Acton, C. J. (1975) Use of Factor Analysis in Interpreting Genetic Processes in Lacustrine Soils of Ontario, Canada. Canadian Journal of Earth Sciences, 12 (10) 1794-1804 doi:10.1139/e75-159
In(1975, October) Canadian Journal of Earth Sciences Vol. 12 (10) Canadian Science Publishing
Abstract/Notes A multivariate statistical technique, Q-mode factor analysis, was applied to 120 samples collected from five lacustrine soils of southwestern Ontario. In each sample, 23 variables were measured: 11 chemical, and 12 particle size classes. Three factors were found to account adequately for the variation in the original data, i.e. 120 samples × 23 variables. The factors can be interpreted as indicators of depositional and weathering environments. To simplify such an interpretation and to try and separate the effects of the depositional environment from the pedogenic processes, the chemical data was treated separately from the grain size data. Two factors were found to describe adequately the variation in chemical data and three factors accounted for the variation in the grain size data. The chemical factors were interpreted to represent the processes of weathering occurring in the soil profile. The grain size factors were postulated as representing energy levels in the environment of deposition of the parent materials, i.e. a low energy environment where the sediments were formed predominantly through settling from suspension, a relatively higher energy environment where a significant portion of the sediments were deposited from traction currents, and an intermediate energy level where both settling and traction were important processes. These interpretations were arrived at considering only laboratory data and they agree with morphological information obtained from the field.In the exploratory or preliminary stages of research, factor analysis is a useful tool for manipulating a large amount of data. This type of analysis can complement morphological studies that are still needed for a full understanding of the genesis and classification of soils.


See Also

These are possibly similar items as determined by title/reference text matching only.

 
and/or  
版权所有© mindat.org1993年至2026年,除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.7 14:15:59
Go to top of page