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  • Exploratory analysis of the world city network
  • Classification ; Cluster analysis ; Globalization ; Network ; Principal components analysis ; Taxonomy ; Urban geography ; World city
  • The paper develops an exploratory research design using principal components analyses. Multiple solutions are used to explore the structure of a matrix defined by 123 cities and 100 global service firms. Using 13 separate analyses, the main finding
  • Canada ; Glacier ; Glacier mass balance ; Kyrgyzstan ; Methodology ; Model ; Northwest Territories ; Principal components analysis ; Sampling ; Spatial statistics
  • Island, Canada) and Abramov Glacier (Alai Range, Kirgizia), show that the correlation decreases with the difference in elevation between the points. A principal component analysis confirms that the effective sample size is very small.
  • The A. aims to determine the effective sample size of 2 glaciers by analysis of the spatial correlation between point mass balance measurements. Correlograms from multiple time series of point mass balance, measured on White Glacier (Axel Heiberg
  • Air temperature ; China ; Impact ; Periglacial features ; Permafrost ; Plateau ; Principal components analysis ; Soil temperature ; Spatial variation ; Temperature ; Tibet
  • been diagnosed by principal component analysis and power spectral analysis methods.
  • Climatic anomaly ; Climatic variability ; Climatology ; Pennsylvania ; Precipitation ; Principal components analysis ; Seasonal variability ; Snow ; Spatial variation ; United States of America
  • stepwise change in seasonal snowfall total during this period. The principal component analysis revealed 4 distinct seasonal regions across the state.
  • Principal component analysis of Western Mediterranean air temperature variations 1866-1985
  • Principal component analysis of precipitation in the adriatic-pannonian area of Yugoslavia
  • Analysing spatial time series of local unemployment : a graphical approach using principal component analysis and seasonal adjustment procedures
  • Alluvial cone ; Arid area ; Arizona ; Digital elevation model ; Geomorphology ; Mountain ; Numerical model ; Pediment ; Principal components analysis ; Slope gradient ; United States of America
  • The aim of this research is to determine if certain geomorphic characteristics of mountain slopes backing bedrock pediments and alluvial slopes discriminate their occurrence at the slope base. Principal component analysis results indicate mountain
  • Economic development ; Poland ; Principal components analysis ; Regional development ; Regional disparities
  • to the knowledge base in higher-order principal components analysis. the relationship between regional differences in the base and the level of socio-economic development has been studied. - (BJ)
  • Composite grains in Maas, Meuse, sediments: a survey and a discussion of their opaque components
  • the subtransluscent to opaque matter in these composites, which principally represent actual rock fragments. This suggests that the sediments investigated contain products of rather freshly disintegrated rocks. The opaque components enable2 important groups of rocks
  • The opaque mineralogy of composite grains in acid-treated heavy mineral concentrates from sediments of the river Maas was studied in reflected light and by SEM. EDXRA analysis. Secondary rutile, secondary ilmenite and hematite constitute
  • Spatial analysis of the factors contributing to the relationship between the transient, meridional eddy sensible, and latent heat flux in the southern hemisphere
  • Atmospheric dynamics ; Atmospheric moisture ; Climate ; Climatic variability ; Forecast ; Heat flow ; Principal components analysis ; Southern hemisphere ; Spatial analysis ; Spatial statistics ; Temperature ; World
  • 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. Both methods of analysis produced 2 very important uncorrelated modes of variability in January and July, indicating that the transient heat fluxes are influenced by few controlling factors. The AA. suggest that these modes
  • Community health level is examined by means of principal component analysis for 28 indices by 212 communities. As a result, community health level and the distribution pattern are illustrated on the maps. - (SGA)
  • This study offers an example of regression following factor analysis. In substituting correspondence analysis for the principal components analysis of Imbrie and Kipp, the A. improves on the results of them: firtsly, he obtains higher correlation
  • Air mass ; Atmospheric circulation ; Classification ; Glacier ; Glacier mass balance ; Norway ; Principal components analysis ; Summer ; Synoptic climatology ; Winter
  • glaciers. To achieve this, a Temporal Synoptic Index (TSI) was derived for a 30-year period for a number of synoptic meteorological stations in Norway. The TSI is derived using Principal Component Analysis (PCA) and subsequent clustering of component scores
  • Land use ; Landslide ; Model ; Multivariate analysis ; Natural hazards ; Principal components analysis ; Satellite imagery ; Slope ; Slovenia ; Vegetation
  • images were merged using Principal Component Analysis method and classified with an unsupervised classification. Using multivariate statistical analysis (factor analysis), the interaction between factors and landslide distribution were tested
  • China ; Climate extreme ; Climatic change ; Linear regression ; Principal components analysis ; Space time ; Temperature ; Watershed ; Yangtze
  • Based on daily maximum and minimum temperature observed by the China Meteorological Administration at 115 meteorological stations in the Yangtze River Basin from 1962 to 2011, the methods of linear regression, principal component analysis
  • cold and warm indices, asymmetry of the tendencies can be found; Principal component analysis of the extreme temperature indices are divided into 5 components from the factor load matrix, and correlation coefficients of the temperature extremes
  • and correlation analysis are employed to investigate the temporal variability and spatial distribution of temperature extremes. Sixteen indices of extreme temperature are selected. The results highlight that : The cold indices show a decreasing trend, while
  • Spatial patterns of daily rainfall in central Kenya : application of principal component analysis, common factor analysis and spatial correlation
  • Classification ; Cluster analysis ; Data analysis ; Factor analysis ; Handbook ; Matrix analysis ; Multivariate analysis ; Principal components analysis ; Statistics
  • Behaviour ; Bohemia ; Czechoslovakia ; Mental map ; Perception ; Preference ; Quantitative analysis
  • A mental map has been constructed using the principal components analysis of « Behavioural geography » of Gould's and Lynch's conception. With help of another quantitative method the multifactoral conditionality of preferences has been analysed
  • Atlantic Ocean ; Biomass ; Marine biology ; Mathematical model ; Multivariate analysis ; Primary production ; Principal components analysis ; Salinity ; Temperature