Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks
This paper presents a procedure to address the lack of spatial air quality data in urban areas, based on the use of Geographic Information Systems (GIS) and spatial interpolation techniques as an alternative to conventional methods of statistical imputation. Two spatial interpolation algorithms are...
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2015-09-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/20252 |
| _version_ | 1797861741732823040 |
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| author | Libardo Antonio Londoño-Ciro Julio Eduardo Cañón-Barriga |
| author_facet | Libardo Antonio Londoño-Ciro Julio Eduardo Cañón-Barriga |
| author_sort | Libardo Antonio Londoño-Ciro |
| collection | DOAJ |
| description |
This paper presents a procedure to address the lack of spatial air quality data in urban areas, based on the use of Geographic Information Systems (GIS) and spatial interpolation techniques as an alternative to conventional methods of statistical imputation. Two spatial interpolation algorithms are compared: IDW and spline. The procedure considers the spatial interpolation process, the cross validation with the index of agreement (IOA), and the analysis of the effect of sampling density and the coeffi cient of variation (CVOi ), using different error statistics. The interpolation maps are complemented with gradient and directional gradient maps that may serve as complementary aides in the defi nition of critical sampling points. The procedure is applied to data imputation of three pollutants NO2 , PM10 (particulate matter of diameter 10 microns) and TSP (total suspended solids) from observed data samples in the city of Medellín (Colombia).
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| first_indexed | 2024-04-09T22:09:07Z |
| format | Article |
| id | doaj.art-275a35f467b7406a876d9fdfaa53cba4 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:09:07Z |
| publishDate | 2015-09-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-275a35f467b7406a876d9fdfaa53cba42023-03-23T12:30:59ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442015-09-017610.17533/udea.redin.n76a09Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networksLibardo Antonio Londoño-Ciro0Julio Eduardo Cañón-Barriga1University of AntioquiaUniversity of Antioquia This paper presents a procedure to address the lack of spatial air quality data in urban areas, based on the use of Geographic Information Systems (GIS) and spatial interpolation techniques as an alternative to conventional methods of statistical imputation. Two spatial interpolation algorithms are compared: IDW and spline. The procedure considers the spatial interpolation process, the cross validation with the index of agreement (IOA), and the analysis of the effect of sampling density and the coeffi cient of variation (CVOi ), using different error statistics. The interpolation maps are complemented with gradient and directional gradient maps that may serve as complementary aides in the defi nition of critical sampling points. The procedure is applied to data imputation of three pollutants NO2 , PM10 (particulate matter of diameter 10 microns) and TSP (total suspended solids) from observed data samples in the city of Medellín (Colombia). https://revistas.udea.edu.co/index.php/ingenieria/article/view/20252spatial interpolation splineindex of agreementspatial modelsair pollutionsmall area estimation and handling missing spatial data |
| spellingShingle | Libardo Antonio Londoño-Ciro Julio Eduardo Cañón-Barriga Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks Revista Facultad de Ingeniería Universidad de Antioquia spatial interpolation spline index of agreement spatial models air pollution small area estimation and handling missing spatial data |
| title | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks |
| title_full | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks |
| title_fullStr | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks |
| title_full_unstemmed | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks |
| title_short | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks |
| title_sort | imputation of spatial air quality data using gis spline and the index of agreement in sparse urban monitoring networks |
| topic | spatial interpolation spline index of agreement spatial models air pollution small area estimation and handling missing spatial data |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/20252 |
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