Event Title

Modeling distances between various attractions and nearest city parks using exponential distribution

Research Mentor(s)

Noguchi, Kimihiro

Description

We examine the park data in Twin Cities Metropolitan Area (TCMA) to understand the distances between various attractions (water features, transit stops, bike paths, sport fields, etc.) and nearest city parks. We verify our research hypothesis that these distance variables are exponentially distributed using histograms and chi-squared goodness-of-fit test. Our findings suggest that most of the distance variables are indeed exponentially distributed except the one that measures the distance between the metropolitan area and the nearest city parks. Based on that, we further hypothesize that the locations of the various attractions relative to the nearest city parks follow the spatial Poisson process.

Document Type

Event

Start Date

15-5-2019 9:00 AM

End Date

15-5-2019 5:00 PM

Location

Carver Gym (Bellingham, Wash.)

Department

Mathematics

Genre/Form

student projects, posters

Subjects – Topical (LCSH)

Parks--Minnesota--Minneapolis Metropolitan Area--Mathematical models; Parks--Minnesota--Saint Paul Metropolitan Area; Poisson algebras; Chi-square test

Geographic Coverage

Minneapolis Metropolitan Area (Minn.); Saint Paul Metropolitan Area (Minn.)

Type

Image

Keywords

Exponential Distribution, Modeling Distances, Kolomogorov-Smirnov Test, Spatial Poisson Process

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.

Language

English

Format

application/pdf

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May 15th, 9:00 AM May 15th, 5:00 PM

Modeling distances between various attractions and nearest city parks using exponential distribution

Carver Gym (Bellingham, Wash.)

We examine the park data in Twin Cities Metropolitan Area (TCMA) to understand the distances between various attractions (water features, transit stops, bike paths, sport fields, etc.) and nearest city parks. We verify our research hypothesis that these distance variables are exponentially distributed using histograms and chi-squared goodness-of-fit test. Our findings suggest that most of the distance variables are indeed exponentially distributed except the one that measures the distance between the metropolitan area and the nearest city parks. Based on that, we further hypothesize that the locations of the various attractions relative to the nearest city parks follow the spatial Poisson process.