A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value
Abstract 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-S...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-31253-z |
| _version_ | 1797864688497721344 |
|---|---|
| author | Marcello Schiavina Michele Melchiorri Sérgio Freire |
| author_facet | Marcello Schiavina Michele Melchiorri Sérgio Freire |
| author_sort | Marcello Schiavina |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-09T22:56:02Z |
| format | Article |
| id | doaj.art-52b9300bc9c147688b8f53bc8da8213a |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T22:56:02Z |
| publishDate | 2023-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-52b9300bc9c147688b8f53bc8da8213a2023-03-22T11:14:46ZengNature PortfolioScientific Reports2045-23222023-03-0113111410.1038/s41598-023-31253-zA smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute valueMarcello Schiavina0Michele Melchiorri1Sérgio Freire2European Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreAbstract 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.https://doi.org/10.1038/s41598-023-31253-z |
| spellingShingle | Marcello Schiavina Michele Melchiorri Sérgio Freire A smart and flexible approach for aggregation of adjacent polygons to meet a minimum target area or attribute value Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-31253-z |
| work_keys_str_mv | AT marcelloschiavina asmartandflexibleapproachforaggregationofadjacentpolygonstomeetaminimumtargetareaorattributevalue AT michelemelchiorri asmartandflexibleapproachforaggregationofadjacentpolygonstomeetaminimumtargetareaorattributevalue AT sergiofreire asmartandflexibleapproachforaggregationofadjacentpolygonstomeetaminimumtargetareaorattributevalue AT marcelloschiavina smartandflexibleapproachforaggregationofadjacentpolygonstomeetaminimumtargetareaorattributevalue AT michelemelchiorri smartandflexibleapproachforaggregationofadjacentpolygonstomeetaminimumtargetareaorattributevalue AT sergiofreire smartandflexibleapproachforaggregationofadjacentpolygonstomeetaminimumtargetareaorattributevalue |