AM-11 - Analyzing multidimensional attributes

Learning Objectives: 
  • Relate plots of multidimensional attribute data to geography by equating similarity in data space with proximity in geographical space
  • Conduct a simple hierarchical cluster analysis to classify area objects into statistically similar regions
  • Perform multidimensional scaling (MDS) and principal components analysis (PCA) to reduce the number of coordinates, or dimensionality, of a problem
  • Produce plots in several data dimensions using a data matrix of attributes
  • Assemble a data matrix of attributes