Aggregation in continuous space coverage modeling

Daoqin Tong, Richard L. Church

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Uncertainties and errors associated with aggregation have long been recognized in the study of spatial problems. In facility location modeling, while much has been done to examine the aggregation of large datasets of discrete points, errors and uncertainties involved in aggregating continuous spatial units are not well understood. This study focuses on the effects of aggregating continuous spatial units into discrete points within the context of the location set covering problem. We propose new measures to understand and quantify errors associated with a continuous aggregation scheme. In a real-world application, the proposed methods can be used to suggest an appropriate aggregation scheme before the application of the location model. We demonstrate the concepts developed here with an empirical study of siting emergency warning sirens in the city of Dublin, OH.

Original languageEnglish (US)
Pages (from-to)795-816
Number of pages22
JournalInternational Journal of Geographical Information Science
Volume26
Issue number5
DOIs
StatePublished - May 1 2012
Externally publishedYes

Fingerprint

aggregation
Agglomeration
coverage
modeling
Sirens
uncertainty
facility location
Uncertainty

Keywords

  • aggregation effect
  • continuous space
  • location set covering problem
  • representing geographic space

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

Cite this

Aggregation in continuous space coverage modeling. / Tong, Daoqin; Church, Richard L.

In: International Journal of Geographical Information Science, Vol. 26, No. 5, 01.05.2012, p. 795-816.

Research output: Contribution to journalArticle

@article{86e2e570ef7f462c83bc6ea97032f731,
title = "Aggregation in continuous space coverage modeling",
abstract = "Uncertainties and errors associated with aggregation have long been recognized in the study of spatial problems. In facility location modeling, while much has been done to examine the aggregation of large datasets of discrete points, errors and uncertainties involved in aggregating continuous spatial units are not well understood. This study focuses on the effects of aggregating continuous spatial units into discrete points within the context of the location set covering problem. We propose new measures to understand and quantify errors associated with a continuous aggregation scheme. In a real-world application, the proposed methods can be used to suggest an appropriate aggregation scheme before the application of the location model. We demonstrate the concepts developed here with an empirical study of siting emergency warning sirens in the city of Dublin, OH.",
keywords = "aggregation effect, continuous space, location set covering problem, representing geographic space",
author = "Daoqin Tong and Church, {Richard L.}",
year = "2012",
month = "5",
day = "1",
doi = "10.1080/13658816.2011.615748",
language = "English (US)",
volume = "26",
pages = "795--816",
journal = "International Journal of Geographical Information Science",
issn = "1365-8816",
publisher = "Taylor and Francis Ltd.",
number = "5",

}

TY - JOUR

T1 - Aggregation in continuous space coverage modeling

AU - Tong, Daoqin

AU - Church, Richard L.

PY - 2012/5/1

Y1 - 2012/5/1

N2 - Uncertainties and errors associated with aggregation have long been recognized in the study of spatial problems. In facility location modeling, while much has been done to examine the aggregation of large datasets of discrete points, errors and uncertainties involved in aggregating continuous spatial units are not well understood. This study focuses on the effects of aggregating continuous spatial units into discrete points within the context of the location set covering problem. We propose new measures to understand and quantify errors associated with a continuous aggregation scheme. In a real-world application, the proposed methods can be used to suggest an appropriate aggregation scheme before the application of the location model. We demonstrate the concepts developed here with an empirical study of siting emergency warning sirens in the city of Dublin, OH.

AB - Uncertainties and errors associated with aggregation have long been recognized in the study of spatial problems. In facility location modeling, while much has been done to examine the aggregation of large datasets of discrete points, errors and uncertainties involved in aggregating continuous spatial units are not well understood. This study focuses on the effects of aggregating continuous spatial units into discrete points within the context of the location set covering problem. We propose new measures to understand and quantify errors associated with a continuous aggregation scheme. In a real-world application, the proposed methods can be used to suggest an appropriate aggregation scheme before the application of the location model. We demonstrate the concepts developed here with an empirical study of siting emergency warning sirens in the city of Dublin, OH.

KW - aggregation effect

KW - continuous space

KW - location set covering problem

KW - representing geographic space

UR - http://www.scopus.com/inward/record.url?scp=84861119651&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861119651&partnerID=8YFLogxK

U2 - 10.1080/13658816.2011.615748

DO - 10.1080/13658816.2011.615748

M3 - Article

VL - 26

SP - 795

EP - 816

JO - International Journal of Geographical Information Science

JF - International Journal of Geographical Information Science

SN - 1365-8816

IS - 5

ER -