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A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value
Many geospatial analyses require flexible aggregation of adjacent units to meet a minimum target area or attribute value. This is usually accomplished using several non-automated and complex GIS tasks. We developed an integrated user-friendly approach and algorithm implemented in the ‘GHS-SmartDisso...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020153/ https://www.ncbi.nlm.nih.gov/pubmed/36927794 http://dx.doi.org/10.1038/s41598-023-31253-z |
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author | Schiavina, Marcello Melchiorri, Michele Freire, Sérgio |
author_facet | Schiavina, Marcello Melchiorri, Michele Freire, Sérgio |
author_sort | Schiavina, Marcello |
collection | PubMed |
description | Many geospatial analyses require flexible aggregation of adjacent units to meet a minimum target area or attribute value. This is usually accomplished using several non-automated and complex GIS tasks. We developed an integrated user-friendly approach and algorithm implemented in the ‘GHS-SmartDissolve’ tool, which addresses minimum mapping unit or attribute value requirements, layers resolution mismatch, spatial uncertainty or modifiable areal unit problem in GIScience. This method automatically dissolves adjacent features updating fields’ values to reach a minimum target area or attribute value, using a flexible settings framework to meet user requirements. Also provided as a toolbox for ArcGIS (Esri), the approach is demonstrated by (i) estimating the mean particulate matter concentrations for all municipalities in Italy in 2011 by combining a coarse grid of global PM2.5 concentrations with fine administrative units; (ii) estimating boundaries of Metropolitan areas in Portugal as aggregation of municipalities, by matching their total population. |
format | Online Article Text |
id | pubmed-10020153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100201532023-03-18 A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value Schiavina, Marcello Melchiorri, Michele Freire, Sérgio Sci Rep Article Many geospatial analyses require flexible aggregation of adjacent units to meet a minimum target area or attribute value. This is usually accomplished using several non-automated and complex GIS tasks. We developed an integrated user-friendly approach and algorithm implemented in the ‘GHS-SmartDissolve’ tool, which addresses minimum mapping unit or attribute value requirements, layers resolution mismatch, spatial uncertainty or modifiable areal unit problem in GIScience. This method automatically dissolves adjacent features updating fields’ values to reach a minimum target area or attribute value, using a flexible settings framework to meet user requirements. Also provided as a toolbox for ArcGIS (Esri), the approach is demonstrated by (i) estimating the mean particulate matter concentrations for all municipalities in Italy in 2011 by combining a coarse grid of global PM2.5 concentrations with fine administrative units; (ii) estimating boundaries of Metropolitan areas in Portugal as aggregation of municipalities, by matching their total population. Nature Publishing Group UK 2023-03-16 /pmc/articles/PMC10020153/ /pubmed/36927794 http://dx.doi.org/10.1038/s41598-023-31253-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Schiavina, Marcello Melchiorri, Michele Freire, Sérgio A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
title | A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
title_full | A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
title_fullStr | A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
title_full_unstemmed | A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
title_short | A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
title_sort | smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020153/ https://www.ncbi.nlm.nih.gov/pubmed/36927794 http://dx.doi.org/10.1038/s41598-023-31253-z |
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