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Predictive Model of Illegal Dumpsite...
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Viazanko, Andrea.
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Predictive Model of Illegal Dumpsites in Westmoreland and York Counties, Pennsylvania.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Predictive Model of Illegal Dumpsites in Westmoreland and York Counties, Pennsylvania./
Author:
Viazanko, Andrea.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:
97 p.
Notes:
Source: Masters Abstracts International, Volume: 57-02.
Contained By:
Masters Abstracts International57-02(E).
Subject:
Geographic information science and geodesy. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10642370
ISBN:
9780355505528
Predictive Model of Illegal Dumpsites in Westmoreland and York Counties, Pennsylvania.
Viazanko, Andrea.
Predictive Model of Illegal Dumpsites in Westmoreland and York Counties, Pennsylvania.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 97 p.
Source: Masters Abstracts International, Volume: 57-02.
Thesis (M.S.)--Indiana University of Pennsylvania, 2017.
This geographic information systems (GIS) model uses land use, road distance, population density, and slope to create a predictive surface for the likelihood of illegal trash dumpsites. Using existing literature, illegal dumpsites are found along roads at the fringes of populated areas in vacant lots and wooded areas. Some sites are found over hillsides where the trash is concealed. Weighting the factors for areas more likely to have dumpsites and combining the layers in a GIS creates a map of areas less likely and more likely to have dumpsites. Westmoreland and York counties are chosen as case studies because of their similar size and demographics. The results of the model accurately predict over 90% of existing dumpsite locations in both counties.
ISBN: 9780355505528Subjects--Topical Terms:
2122917
Geographic information science and geodesy.
Predictive Model of Illegal Dumpsites in Westmoreland and York Counties, Pennsylvania.
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This geographic information systems (GIS) model uses land use, road distance, population density, and slope to create a predictive surface for the likelihood of illegal trash dumpsites. Using existing literature, illegal dumpsites are found along roads at the fringes of populated areas in vacant lots and wooded areas. Some sites are found over hillsides where the trash is concealed. Weighting the factors for areas more likely to have dumpsites and combining the layers in a GIS creates a map of areas less likely and more likely to have dumpsites. Westmoreland and York counties are chosen as case studies because of their similar size and demographics. The results of the model accurately predict over 90% of existing dumpsite locations in both counties.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10642370
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