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In this paper principal component analysis (PCA) and singular value decomposition (SVD) are used to define the importance of the variables contributing to the relationship between the transient latent and sensible heat fluxes and to show their temporal and spatial variation. SVD is offered as an alternative means of isolating spatial and temporal structures in data with the advantage that it can depict simultaneous space‐time variations that are aggregates of the results produced by PCA. Both methods of analysis produced two very important uncorrelated modes of variability in January and July, indicating that the transient heat fluxes are influenced by few controlling factors. We suggest that these modes of variability represent the influences of the meridional temperature gradient, atmospheric moisture, and activity within the source and sink regions of the transient heat fluxes. The physical relationships between the heat fluxes that appear to represented by the statistical modes of variability are discussed. 相似文献
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Marilyn Palmer 《Post-Medieval Archaeology》2013,47(1):73-91
The development of industrial archaeology over the last 50 years can be traced through articles published in PMA. The early stages of recording the standing remains of industrial activity were augmented by detailed studies of groups of structures which revealed the organization of the manufacturing process. From the late 1980s, developer-funded excavations became important following extensive remediation work on brownfield sites. Greater attention was paid to the social context of past industrial activity including workers’ housing and institutional buildings, and this has continued with studies of oral history. New challenges considered include studies of modern technologies, de-industrialization and the digital revolution. 相似文献
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