© John Wiley & Sons, Ltd.
Editor-in-Chief: Walter W. Piegorsch
Impact Factor: 1.486
ISI Journal Citation Reports © Ranking: 2013: 28/119 (Statistics & Probability); 29/95 (Mathematics Interdisciplinary Applications); 116/216 (Environmental Sciences)
Online ISSN: 1099-095X
Recently Published Issues
OnlineOpen The Open Access Option for Authors
Environmetrics Silver Anniversary Special Issue!
With the current issue, Environmetrics completes its 25th year of operation, and to celebrate, Walter W. Piegorsch and Peter Guttorp present a Special Issue on the past, present, and future of environmetrics as an endeavour. Readers may recall that the journal began in 1990 as a response to the growing need for modern quantitative methods that help understand environmental problems. Founding editors A. H. El-Shaarawi and I. B. MacNeill responded with gusto: Issue 1 of Volume 1 in 1990 contained an extensive suite of articles from the First International Conference on Statistical Methods for the Environmental Sciences, held 4–7 April 1989, in Cairo, Egypt.
From those auspicious beginnings, the journal has ridden forward on a wave of ever-increasing technological development, ‘big’ data acquisition, multi-dimensional environmental challenges, and even into a new millennium. To celebrate this quarter century of growth and advancement, this 25th volume Special Anniversary Issue collects together a variety of perspectives on what environmetrics is and what it can become.
Read Walter W. Piegorsch's editorial on the 25th anniversary of Environmetrics from the start of 2014 here.
Enjoy the latest Special Issues from Environmetrics
View the new Special Issue now available online: Special Issue: Wildland Fires, a collection of papers that tackle some of the statistical issues concerned with characterizing wildfires and wildfire risk.
Featuring top papers:
|Enjoy More Special Issues from Environmetrics:|
New! Environmetrics Discussion Papers
View the Research Article and Rejoinder papers by Adam A. Szpiro and Christopher J. Paciorek, published in Vol 24:8
Now read these top Discussion Papers based these original articles:
Measurement error in spatial exposure models: study design implicationsD.C. Thomas
Regression calibration in air pollution epidemiology with exposure estimated by spatio-temporal modeling,D. Spiegelman
Spatial exposure modeling: reconsidering the data-generating mechanism,C.A. Calder
We can understand complex models (at least, sometimes,J.S. Hodges
Measurement error in air pollution epidemiology: guidance for uncertain times,R. D. Peng