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Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study

There is an increase in the awareness of the importance of spatial data in epidemiology and exposure assessment (EA) studies. Most studies use governmental and ordnance surveys, which are often expensive and sparsely updated, while in most developing countries, there are often no official geo-spatia...

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Autores principales: Kloog, Itai, Kaufman, Lara Ifat, de Hoogh, Kees
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267018/
https://www.ncbi.nlm.nih.gov/pubmed/30388884
http://dx.doi.org/10.3390/ijerph15112443
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author Kloog, Itai
Kaufman, Lara Ifat
de Hoogh, Kees
author_facet Kloog, Itai
Kaufman, Lara Ifat
de Hoogh, Kees
author_sort Kloog, Itai
collection PubMed
description There is an increase in the awareness of the importance of spatial data in epidemiology and exposure assessment (EA) studies. Most studies use governmental and ordnance surveys, which are often expensive and sparsely updated, while in most developing countries, there are often no official geo-spatial data sources. OpenStreetMap (OSM) is an open source Volunteered Geographic Information (VGI) mapping project. Yet very few environmental epidemiological and EA studies have used OSM as a source for road data. Since VGI data is either noncommercial or governmental, the validity of OSM is often questioned. We investigate the robustness and validity of OSM data for use in epidemiological and EA studies. We compared OSM and Governmental Major Road Data (GRD) in three different regions: Massachusetts, USA; Bern, Switzerland; and Beer-Sheva, South Israel. The comparison was done by calculating data completeness, positional accuracy, and EA using traditional exposure methods. We found that OSM data is fairly complete and accurate in all regions. The results in all regions were robust, with Massachusetts showing the best fits (R(2) 0.93). Results in Bern (R(2) 0.78) and Beer-Sheva (R(2) 0.77) were only slightly lower. We conclude by suggesting that OSM data can be used reliably in environmental assessment studies.
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spelling pubmed-62670182018-12-15 Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study Kloog, Itai Kaufman, Lara Ifat de Hoogh, Kees Int J Environ Res Public Health Article There is an increase in the awareness of the importance of spatial data in epidemiology and exposure assessment (EA) studies. Most studies use governmental and ordnance surveys, which are often expensive and sparsely updated, while in most developing countries, there are often no official geo-spatial data sources. OpenStreetMap (OSM) is an open source Volunteered Geographic Information (VGI) mapping project. Yet very few environmental epidemiological and EA studies have used OSM as a source for road data. Since VGI data is either noncommercial or governmental, the validity of OSM is often questioned. We investigate the robustness and validity of OSM data for use in epidemiological and EA studies. We compared OSM and Governmental Major Road Data (GRD) in three different regions: Massachusetts, USA; Bern, Switzerland; and Beer-Sheva, South Israel. The comparison was done by calculating data completeness, positional accuracy, and EA using traditional exposure methods. We found that OSM data is fairly complete and accurate in all regions. The results in all regions were robust, with Massachusetts showing the best fits (R(2) 0.93). Results in Bern (R(2) 0.78) and Beer-Sheva (R(2) 0.77) were only slightly lower. We conclude by suggesting that OSM data can be used reliably in environmental assessment studies. MDPI 2018-11-01 2018-11 /pmc/articles/PMC6267018/ /pubmed/30388884 http://dx.doi.org/10.3390/ijerph15112443 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kloog, Itai
Kaufman, Lara Ifat
de Hoogh, Kees
Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study
title Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study
title_full Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study
title_fullStr Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study
title_full_unstemmed Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study
title_short Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study
title_sort using open street map data in environmental exposure assessment studies: eastern massachusetts, bern region, and south israel as a case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267018/
https://www.ncbi.nlm.nih.gov/pubmed/30388884
http://dx.doi.org/10.3390/ijerph15112443
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