Appendix B: Principal component analysis of climate and soil data from the SNOTEL networkWe retained the first three principal component axes from the warm-season PCA. These four principal components explained 67% of the variance in the dataset for all ...
Assessment of the use of principal components analysis to relate air and precipitation chemistry to climate 来自 掌桥科研 喜欢 0 阅读量: 33 作者:J. M. Jones,T. D. Davies,S. R. Dorling 摘要: A classification of atmospheric circulation was derived using principal components analysis (PCA) of ...
The Principal Components (PCs) method was applied to the data. The obtained results were divided into two groups: the first group is related to the average (climatological) annual courses of cited parameters and the second is related to their anomalies. In addition, a regionalization was ...
1.Application of filter-detection and principal component analysis to the study of the multivariate data in lithological-mineralized section;滤波检测与主成分分析技术及其应用 2.An analysis on the principal components for the technical progress of the coal industry;煤炭工业技术进步的主成分分析 3.The num...
3.Taking the NDVI data of NOAA/AVHRR remote sensing image as data source with spatial and temporal resolution at 1 km×1 km and a whole vegetation growth cycle, the method employed the presently popular principal component analysis technique with combination of climate information, Digital Elevation...
A. The chemical components in body. B. The metabolism of water in body. C. The functions of water in body. D. The water supply for body.3. Dehydration occurs when A. you are thirsty B. you have bowel movements white lose water C. you are tried D. your body doesn't have enough ...
rainfall organizationclimate regionalizationprincipal components analysiscluster analysisSpainAutumn–winter temperature and precipitation records at 34 stations over ... WB White,NJ Cherry - 《Journal of Climate》 被引量: 4792发表: 1999年 Spatiotemporal Variability of West African Rainfall. Part I: Region...
Introduction The Karhunen-Lo`eve basis functions, more frequently referred to as principal components or empirical orthogonal functions (EOFs), of the noise response of the climate system are an important tool for geophysical studies. Many researchers have used this tool to examine the geophysical an...
aDevelopment of a genome to systems-level understanding of plant-environmental interactions, especially with respect to adaptation to climate change and response to abiotic and biotic stresses 正在翻译,请等待...[translate] ajack said that people, while acceping others' suggestions, should insist on ...
The principal components are the eigenvectors of the data covariance matrix, which can be computed using singular value decomposition (SVD). PCA is commonly used to reduce the dimensionality of high-dimensional data sets for feature extraction, visualization, or other purposes. The number of ...