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  • Principal components analysis and factor analysis in geographical research: some problems andissues
  • On uninterpretability of factor analysis results
  • A palya-analizis alkalmazasa a területi kutatasokban. (Application of path analysis in regional research)
  • Analyse multivariée ; Cluster analysis ; Généralités sur la géographie ; Hongrie ; Mathématique ; Méthodologie ; Recherche régionale ; Type de peuplement
  • The brief description of the method is followed by a possible application (for the establishment of types of settlements in Hungary). The subjectivity of factor-analyses can be reduced by path analysis.
  • Macierz korelacji czy kowariancji? Niektore zagadnienia ana izy czynnikowej. (The correlation versus covariance matrix: some factor analytical questions)
  • There are a number of operations alternative in their character in factor analysis. It is inter alia the correlation versus covariance matrix choice question. Answer the question of which of the matrices is more appropriate in geographical research
  • was the principal aim of the empirical analysis. The analysis concerned the urbanization pattern in Poland. (d'après l'A.).
  • ON THE CHOICE OF METHODS IN THE FACTOR ANALYSIS OF CONNECTIVITY MATRICES. A COMMENT. A REPLY
  • Nonparametric factor analysis in urban geography : method and validation
  • Correlation coefficients for binary data in factor analysis
  • Some problems in the application of factor analysis in geography
  • Higher-order factor analysis and its application to transport networks
  • path analysis, factor and cluster analysis, canonical correlation, 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
  • Factor analysis in geographical research in European progress in spatial analysis.
  • Application of the regression method, described in a precedent number of the same review, to simulated data which follow a bimodal distribution| this method simultaneously uses factor analysis and constrained regression to estimate the underlying
  • The paper covers the problems of geographical information systems, the perspectives of cartographic application of factor analysis, the COMAPO system and the FOTOMASK procedure and the automatic computing of diagrams and their cartographic
  • Maps of environmental qualification are oriented to the solution of practical problems, i.e. the mapping analysis and qualification of the factors of the environmental subsystems on a unified conceptual basis is a contemporary task in response
  • Factor analysis in Quantitative geography: a British view.
  • Stochastiche Analysen von Messtrassen der Bodenfeuchte. (Stochastic analysis of soil moisture measurement series)
  • Measurements taken in the topsoil are used to investigate the spatial variability of soil moisture by applying methods of geostatistics. Due to the factors that act in different spatial and temporal dimensions, soil moisture of agricultural areas
  • The validity of Direct Factor Analysis (DFA) which acts on the crossproducts matrix an alternative input matrix proposed by this paper is evaluated. Some previous applications of DFA are examinated with first the central place theory and second
  • the transport network analysis. (SGA).
  • The delineation of a hierarchy of nodal regions by means of higher-order factor analysis
  • The correspondence factor analysis has been applied to two volcanic series used as examples: Hawaii and North of Madagascar. Every rock, determined by all available geochemical data in a multidimensional space, is projected in two dimensional
  • Training areas, representative for major land use classes were located on NMAPW outprints through superposition and optical comparison with various maps. Radiant temperature ranges, derived from the statistical analysis (STATS program) of the pixel
  • populations, were compared and, when possible, correlated with physical characteristics proper to the class. Several factors are enumerated wich could interfere with the interpretation of thermal data thus obtained. (l'A.).