Canonicalcorrelationanalysis in geomorphology with particular reference to drainage basin characteristics
controlling their development. The canonical solution identifies three significant patterns of association between basin planimetric properties and their causative and deterministic factors. The texture of dissection is strongly associated with soil
An application of canonicalcorrelationanalysis in regional science : the interrelationships between transport and development in China's Zhujiang delta
China ; Correlation ; Economic indicators ; Guangdong ; Living standard ; Methodology ; Regional development ; Regional economy ; Regional science ; Spatial economy ; Spatial structure ; Transport ; Zhejiang
ANALYSE DE CORRELATION CANONIQUE ; ANALYSE DES DONNEES ; ANALYSE MULTIVARIEE ; GEOGRAPHIE QUANTITATIVE ; Généralités sur la géographie ; METHODOLOGIE
L'A. RESITUE L'ANALYSE DE CORRELATION CANONIQUE DANS L'ENSEMBLE DES ANALYSES DE CORRELATION. L'ANALYSE CANONIQUE SERT A RECHERCHER LA CORRELATION MUTUELLE ENTRE 2 ENSEMBLES DE VARIABLES. MATHEMATIQUEMENT, LE PROBLEME REVIENT A TROUVER UNE
COMBINAISON LINEAIRE DES P VARIABLES DU PREMIER ENSEMBLE ET UNE COMBINAISON LINEAIRE DES Q VARIABLES DU SECOND ENSEMBLE TELLES QUE LEUR CORRELATION MUTUELLE SOIT MAXIMALE. CETTE CORRELATION DEPEND DONC DE LA STRUCTURE INTERNE DE CHACUN DES ENSEMBLES ET DE LA
path analysis, factor and cluster analysis, canonicalcorrelation, shift analysis, regional analyses on physical analogies, sectorial relationships, production functions, theory of games and theory of graphs models. (DLO).
A comprehensive survey of useful mathematical methods in geography. The simple methods include error tests, variance analysis, measurements of relationships, regression calculation and regional inequality indicators| the multivariate methods cover
This contribution describes a new orthogonal transformation, the Multivariate Alteration Detection (MAD) transformation, based on an established multivariate statistical technique canonicalcorrelationanalysis. A case study using multispectral SPOT
Monthly precipitation data are assembled to analyze the impact of global teleconnections, namely ENSO, PDO, and local sea surface temperature (SSTs) on winter rainfall across the Indian subcontinent from 1925 to 1998. Canonicalcorrelationanalysis
Quantitative classification and analysis on plant communities in the middle reaches of the Tarim River
their relations to main environmental factors using CCA and Two-Way Indicator Species Analysis (TWINSPAN) in the middle reaches of the Tarim River. The results show species distribution patterns correlated with major environmental variables of groundwater level
The AA. use a canonical ordination technique (CCA) to investigate patterns in species data that can be explained by a number of measured environmental variables. They try to understand the distribution patterns of plant communities and examine
Atmospheric circulation ; Bioclimatology ; Climatic variability ; Heat ; Human bioclimatology ; Model ; Ocean atmosphere interaction ; Perception ; Poland ; Space time ; Statistical analysis ; Summer ; Temperature
in 1971-1990 were used. The Empirical Orthogonal Functions (EOF) method was applied to assess several models for the spatial and temporal variability of the parameter analyzed. The statistical downscaling procedure of CanonicalCorrelationAnalysis (CCA
The analysis concerned the influence of regional atmospheric circulation on the spatial variability to people’s experiencing of “hot”, “very hot” or “sweltering” thermal sensations in Poland. Specifically, the Man-Environment Heat Exchange Model
Using Canonical Correspondence Analysis (CCA) to identify the most important DEM attributes for digital soil mapping applications
Canonical correspondence analysis ; Cartography ; Digital elevation model ; Iran ; Soil ; Soil properties ; Spatial distribution ; Topography
, wetness index, power index, sediment index, area solar radiation, direct radiation, diffuse radiation and direct duration were also computed. Canonical Correspondence Analysis (CCA) was used to summarize the data set and to evaluate the expected
Distcorrelation matrix: a spatial correlation trend analysis
Distance correlation matrix (DISTCORMAT) is a new spatial trend analysis that correlates spatial variables against the distance to every variable point. This method is applied to locate the center of on urban heat island, where the imput
Degree of slope and soil type were selected as stable discriminating parameters that might constrain land use. With the help of GIS and canonical correspondence analysis, the relationship between rural land use distribution or transformation
and the selected physical parameters was examined. The land use had undergone a general shift from farmland to woodland or grassland. Canonical correspondence analyses (CCA) indicated that a relationship between land use and the selected physical parameters
Arizona ; Channel geometry ; Ecosystem ; Flood ; Multivariate analysis ; Riparian vegetation ; Spatial distribution ; Statistics ; Stream ; United States of America ; Vegetation dynamics
perennial streams in the transition zone of central Arizona. Canonical correspondance analysis (CCA) with a forward selection was used to assess quantitatively the role of stream power in riparian vegetation patterns.
Location-specific cumulative distribution function (LSCDF) : an alternative to spatial correlationanalysis
Correlation ; Distance ; Distribution of points ; Population ; Spatial aggregation ; Spatial analysis ; Spatial distribution ; Statistics ; United States of America
The paper presents an approach for spatial correlationanalysis for count variables by comparing their cumulative spatial distributions. Using the concept of LSCDF in classical statistics, it shows that location-specific and its associated K-S-like