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  • Matrix analysis ; Model ; Spatial analysis ; Spatial autocorrelation ; Spatial weighting ; Statistical bias
  • Landmark ; Matrix analysis ; Methodology ; Regression analysis ; Weighted
  • Estimation ; Housing cost ; Mathematics ; Matrix analysis ; Optimization ; Spatial analysis ; United States of America
  • Forecast ; Geostatistics ; Krigeage ; Location ; Matrix analysis ; Spatial analysis ; Statistics
  • Econometry ; Industrial development ; Industrial structure ; Matrix analysis ; Shift-share analysis ; Spatial analysis ; Taipei ; Taiwan ; Unemployment ; Urban economy
  • Analyse spatiale ; Calcul matriciel ; Chômage ; Développement industriel ; Economie urbaine ; Econométrie ; Shift-share analysis ; Structure industrielle ; Taibei ; Taïwan
  • The paper applies shift-share analysis to additionally consider both frictional and structural unemployment, which is composed of sectoral shifts and geographic mismatches.
  • Error ; Matrix analysis ; Monte Carlo analysis ; Regression analysis ; Spatial analysis ; Statistics
  • AIDS ; Health ; Matrix analysis ; Methodology ; New York City ; Spatial analysis ; United States of America
  • An example of warps analysis as applied to geographic data is presented. It focuses on the AIDS epidemic in two boroughs of New York City. Female adult AIDS incidence and percentage newborns exposed to HIV, by zip code for the years 1991-98
  • , are used to generate annual configurations within an ecological parameter space. A warps analysis of those configurations indicates a clear shift in the relative positions of Manhattan zip codes during the 1990s.
  • 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
  • An econometric analysis of biproportional properties in an input-output model
  • Chicago ; Econometry ; Illinois ; Input-output model ; Matrix analysis ; United States of America ; Urban economy
  • . Using the empirical evidence for Chicago, the paper conducts econometric time series analysis to determine whether or not certain coefficients or sets of coefficients exhibit tendencies toward stability or predictable change or whether others require
  • Quantification of plasmic fabric through image analysis
  • Glacial features ; Image analysis ; Micromorphology ; Research technique ; Terminology
  • A new method of image analysis was tested on digital micro-photographs of glacial sediments. The method incorporated multispectral image classification algorithm to identify and separate the major components of each image. The resulting maps showing
  • areas of matrix, void spaces, skeleton grains and birefringent plasma, were used to quantify plasmic fabric information. The results showed that the current qualitative approach to plasmic fabric descriptions may be too subjective.
  • 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.
  • 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).
  • Error ; Input-output model ; Mathematics ; Matrix analysis ; Multiplicator ; Regional science ; Statistical bias
  • Economic flow ; Economic system ; Input-output model ; Matrix analysis ; Methodology
  • Estimation ; Gravity model ; Matrix analysis ; Origin-destination ; Poisson process ; Space time ; Statistics
  • Input-output model ; Mathematics ; Matrix analysis ; Regional economy ; Structural stability
  • Algorithm ; Allocation ; Location ; Location choice ; Location-allocation model ; Matrix analysis ; Spatial economy
  • Distance ; Graph ; Mathematics ; Matrix analysis ; Monte Carlo analysis ; Nearest neighbour ; Spatial analysis ; Spatial interaction
  • Analysis of variance ; Estimation ; Local economy ; Matrix analysis ; Public expenditure ; Regression analysis ; Spatial interaction ; Spatial statistics ; Statistics ; United States
  • Quantitative methods : input-output analysis as macroeconomic geography
  • Economic geography ; Economic space ; Economic structure ; Input-output model ; Inter-industrial linkages ; Matrix analysis ; Methodology ; Multiplicator