<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

COMPOSITIONAL SPATIO-TEMPORAL PM2.5 MODELLING IN WILDFIRES (R SCRIPT AND DATASET)

Research datakeyboard_double_arrow_right Dataset 27 Sep 2021 English Publisher:Zenodo

Authors: Sánchez-Balseca, Joseph; Pérez-Foguet, Agustí;

doi: 10.5281/zenodo.5532476 , 10.5281/zenodo.5532475

COMPOSITIONAL SPATIO-TEMPORAL PM2.5 MODELLING IN WILDFIRES (R SCRIPT AND DATASET)

- Summary
- Subjects
- Metrics

Abstract

The present R script and dataset were used in the assessment of a spatio-temporal PM2.5 model in wildfire events with a limited number of monitoring stations using a compositional approach (CoDa).

Related Organizations

Universitat Politècnica de Catalunya
Spain

Keywords

CoDa, Air pollution, PM2.5, Environmental statistics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average