Author

Scott Kilker

Date of Award

Winter 2012

Document Type

Capstone Project

Degree Name

M.S.

Keywords

Markov chain, Monte Carlo, neighborhood transition, racial segregation, Denver metropolitan area, geographic information system

Department

Geography

Abstract

The racial segregation of the primary racial groups, African-American, Asian, Latino and White, residing within the Denver metropolitan five-county area is analyzed using a Geographic Information System. The study uses census defined block groups to measure racial population within the study area as input to analysis methods that provide insight to the transition of racial groups within the Denver metropolitan area. Markov chain analysis is used to compute the probability that the ratio of a block group of a race will change. The Monte Carlo method is then applied using the probabilities to predict what the segregation in the Denver metropolitan area could be. Keywords: Markov chain, Monte Carlo, neighborhood transition, racial segregation, Denver metropolitan area, geographic information system.

Comments

Copyright is held by the author. User is responsible for all copyright compliance.

Share

COinS