Selected article for: "σ standard deviation and standard deviation"

Author: Haluk Akay; George Barbastathis
Title: MARKOVIAN RANDOM WALK MODELING AND VISUALIZATION OF THE EPIDEMIC SPREAD OF COVID-19
  • Document date: 2020_4_17
  • ID: fetbio7q_9
    Snippet: The spatial domain is defined as a square 2-dimensional lattice, where agents can exist at discrete nodes. The agents have the ability to make a random walk in one direction at each time-step. The distance of walk is drawn randomly from a Gaussian distribution N (µ, σ 2 ) where the mean µ is the distance between the starting node and the center of the lattice, and the standard deviation σ is one fifth the length of one dimension of the square.....
    Document: The spatial domain is defined as a square 2-dimensional lattice, where agents can exist at discrete nodes. The agents have the ability to make a random walk in one direction at each time-step. The distance of walk is drawn randomly from a Gaussian distribution N (µ, σ 2 ) where the mean µ is the distance between the starting node and the center of the lattice, and the standard deviation σ is one fifth the length of one dimension of the square lattice. At any given time-step, this creates an expectation of a denser population nearer to the center of the lattice.

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