Estimating PM2.5 Concentrations in Xi'an City Using a Generalized Additive Model With Multi-Source Monitoring Data

PLoS ONE - United States
doi 10.1371/journal.pone.0142149
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Generalized Additive Model

English

Correlated Spatiotemporal Data Modeling Using Generalized Additive Mixed Model and Bivariate Smoothing Techniques

Science Journal of Applied Mathematics and Statistics
2018English

Monitoring and Analysis of the Expansion of the Ajmr Port, Davao City, Philippines Using Multi-Source Remote Sensing Data

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2019English

Multi-Site PM2.5 and PM2.5-10 Aerosol Source Apportionment in Rio De Janeiro, Brazil

Journal of the Brazilian Chemical Society
Chemistry
2007English

A Smart City Dashboard for Combining and Analysing Multi-Source Data Streams

2018English

Estimating Pm2.5 in Xi’an , China Using Aerosol Optical Depth of NPP Viirs Data and Meteorological Measurements

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2018English

Forecasting Influenza Activity Using Self-Adaptive AI Model and Multi-Source Data in Chongqing, China

EBioMedicine
BiochemistryMedicineGeneticsMolecular Biology
2019English

Estimating Housing Vacancy Rate in Qingdao City With NPP-Viirs Nighttime Light and Geographical National Conditions Monitoring Data

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2018English

Estimating Spatiotemporal Variability of Ambient Air Pollutant Concentrations With a Hierarchical Model

Atmospheric Environment
Atmospheric ScienceEnvironmental Science
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy