Elucidating Best Geospatial Estimation Method Applied to Environmental Sciences

The aim of this study is to assess and identify the most suitable geospatial interpolation algorithm for environmental sciences. The research focuses on evaluating six different interpolation methods using annual average PM 10 concentrations as a reference dataset. The dataset includes measurements...

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Veröffentlicht in:	Bulletin of environmental contamination and toxicology Jg. 112; H. 1; S. 6
Hauptverfasser:	de Lourdes Berrios Cintrón, María, Broomandi, Parya, Cárdenas-Escudero, Jafet, Cáceres, Jorge O., Galán-Madruga, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2024 Springer Nature B.V
Schlagworte:	Air Pollution Air quality Air quality measurements Algorithms Aquatic Pollution bulls Clustering data collection Datasets decision making Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental management Environmental Monitoring - methods Environmental Science Indicators kriging Particulate matter Pollution Root-mean-square errors Soil Science & Conservation Spatial Analysis Waste Water Technology Water Management Water Pollution Control Air Quality Geostatistical Estimation Interpolation Algorithms and Environmental Sciences PM Particles PM10 Particles
ISSN:	0007-4861, 1432-0800, 1432-0800
Online-Zugang:	Volltext
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