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  • Principal component analysis of distributive characteristics of precipitation in Northeast China.
  • (1961-1978) ; Analyse en composantes principales ; Chine ; Chine, nord-est ; Cluster analysis ; Distribution ; Géographie de l'Asie ; Précipitation ; Régionalisation climatique
  • Based on the results of principal component analysis applied to data of 35 stations for 1961-1978, a dynamic investigation into the factors and processes accounting for the main patterns of precipitation deviation and the changing time
  • characteristics in them are attempted. A climatic regionalization based on distributive patterns of precipitation is made with the results of cluster analysis. (TNC).
  • Principal component analysis of Belgian rainfall
  • Four principal components are found to be significant, explaining 99.8 % of the total variance. Their climatic significance is to be found respectively in (1) the general atmospheric circulation, (2) the air mass instability in summer, (3
  • Comparison of rainfall time series over South Africa generated from real data and through principal component analysis
  • Time series (scores) of rainfall from cloud bands across South Africa, generated through principal component analysis, are compared with equivalent estimated time series developed from satellite imagery and surface data. For most summer months
  • the principal component scores are useful first approximations to the true time series. (AJC).
  • Applying principal components regression analysis to time series demand estimation
  • The socio-economic spatial structure of Ostrow Wielkopolski: a principal component analysis
  • This article presents the results of research into the spatial structure of the town of Ostrow Wielkopolski. Use was made of principal component analysis to transform the empirical variables into a pattern of new variates. On the basis
  • of this pattern, three basic components of the town's spatial structure were identified, and the spatial differentiation of the town in terms of two and three dimensions has been determined. (Les AA.).
  • Principal components analysis, factor analysis, and point coordinates in the study of multivariate allometry in Geomathematical and petrophysical studies in Sedimentology. An international Symposium.
  • Multivariate generalizations of the bivariate allometric equations are provided by the principal components or factors derived from a covariance matrix of the logarithms of the original measurements.
  • Principal components analysis and factor analysis in geographical research: some problems andissues
  • Burned area mapping with conventional and selective principal component analysis
  • Biogeography ; Data processing ; Forest ; Forest fire ; LANDSAT ; Portugal ; Principal components analysis ; Remote sensing ; Thematic Mapper ; Thematic mapping
  • Relative performance of self-organizing maps and principal component analysis in pattern extraction from synthetic climatological data
  • Climatic data ; Comparative study ; Data ; Map ; Methodology ; Principal components analysis ; Self-organizing behaviour
  • Defining homogeneous precipitation regions by means of principal components analysis
  • for the three years together and for the three years separately. The first principal component explains most of the variance (about 75 %) and is uniformly distributed over the whole region. Higher-order components delineate subregions of consistent rainfall
  • . No essential difference in pattern in the three years occurs between the first four components. The components patterns seem to express maritime and topographic effects, and form a basis for dividing the IJzer catchment into four coherent subregions. - (Les AA.).
  • Development of principal component analysis applied to multitemporal Landsat TM data
  • Predicting well productivity using principal components analysis
  • Atmospheric circulation ; Botswana ; Climate oscillation ; Precipitation ; Principal components analysis ; Spatial variation ; Summer
  • The regionalisation of precipitation during the period 1972-1989 is examined adopting the S-Mode Principal Components Analysis. Markedly different patterns were found in summer and winter. - (AJC)
  • A pedogenic investigation of some soil chronosequences on neoglacial moraine ridges, southern Norway : examination of soil chemical data using principal components analysis
  • A regionalization of Austria's precipitation climate using principal component analysis
  • The method of principal component analysis based on chi-square distance with regional application
  • Principal component and cluster analysis of 185 large towns in England and Wales
  • An application of correspondence analysis in urban geography compared with cluster analysis and principal component analysis
  • Dynamic variations of water quality in Taihu Lake and multivariate analysis of its influential factors
  • Beijing ; China ; Eutrophication ; Lake ; Pollution ; Principal components analysis ; Seasonal variation ; Spatial variation ; Suspended load ; Water quality
  • Dynamic variation of water quality in Meiliang Bay and part of West Taihu Lake has been analysed based on data from 1991 to 1992. Principal component analysis is used to reveal the mutual relationships of various factors.
  • The analysis of multiple tables in factorial ecology. III. Three-mode principal component analysis : Analyse triadique complète