Date of Award

Winter 2012

Document Type

Masters Capstone Project

Degree Name

M.S. in Geographic Information Science

Organizational Unit

College of Natural Science and Mathematics, Geography and the Environment

Keywords

Markov chain, Monte Carlo, Neighborhood transition, Racial segregation, Denver metropolitan area, Geographic information system

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.

Copyright Date

2012

Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Publication Statement

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

Rights Holder

Scott Kilker

Provenance

Received from author

File Format

application/pdf

Language

English (eng)

Extent

32 pgs

File Size

747 KB

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