AM-20 - Stochastic processes

Learning Objectives: 
  • List the two basic assumptions of the purely random process
  • Exemplify non-stationarity involving first and second order effects
  • Differentiate between isotropic and anisotropic processes
  • Discuss the theory leading to the assumption of intrinsic stationarity
  • Outline the logic behind the derivation of long run expected outcomes of the independent random process using quadrat counts
  • Exemplify deterministic and spatial stochastic processes
  • Justify the stochastic process approach to spatial statistical analysis