Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad de Antioquia
2015
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| author | Libardo Antonio Londoño-Ciro |
| author_facet | Libardo Antonio Londoño-Ciro |
| contents | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks Libardo Antonio Londoño-Ciro Julio Eduardo Cañón-Barriga Ingeniería air pollution spatial models index of agreement spatial interpolation spline Small area estimation and handling missing spatial data This paper presents a procedure to address the lack of spatial air qualitydata in urban areas, based on the use of Geographic Information Systems (GIS) and spatialinterpolation techniques as an alternative to conventional methods of statistical imputation.Two spatial interpolation algorithms are compared: IDW and spline. The procedure considersthe spatial interpolation process, the cross validation with the index of agreement (IOA), andthe analysis of the effect of sampling density and the coeffi cient of variation (CVOi), usingdifferent error statistics. The interpolation maps are complemented with gradient anddirectional gradient maps that may serve as complementary aides in the defi nition of criticalsampling 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 observeddata samples in the city of Medellín (Colombia). 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43042289009 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.76 |
| format | Artículo científico |
| id | redalyc_43042289009 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad de Antioquia |
| spellingShingle | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks Libardo Antonio Londoño-Ciro Ingeniería air pollution spatial models index of agreement spatial interpolation spline Small area estimation and handling missing spatial data Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks Libardo Antonio Londoño-Ciro Julio Eduardo Cañón-Barriga Ingeniería air pollution spatial models index of agreement spatial interpolation spline Small area estimation and handling missing spatial data This paper presents a procedure to address the lack of spatial air qualitydata in urban areas, based on the use of Geographic Information Systems (GIS) and spatialinterpolation techniques as an alternative to conventional methods of statistical imputation.Two spatial interpolation algorithms are compared: IDW and spline. The procedure considersthe spatial interpolation process, the cross validation with the index of agreement (IOA), andthe analysis of the effect of sampling density and the coeffi cient of variation (CVOi), usingdifferent error statistics. The interpolation maps are complemented with gradient anddirectional gradient maps that may serve as complementary aides in the defi nition of criticalsampling 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 observeddata samples in the city of Medellín (Colombia). 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43042289009 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.76 |
| title | Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks |
| topic | Ingeniería air pollution spatial models index of agreement spatial interpolation spline Small area estimation and handling missing spatial data |
| url | https://www.redalyc.org/articulo.oa?id=43042289009 |