| Articles | Book Reviews | Special Volumes |
| Optimal Deseasonalization for Monthly and Daily Geophysical Time Series Vol. 4, Issue 11, Apr 2013 Submitted 2012-09-16, Accepted 2012-10-05 | A Ian McLeod, Hyukjun Gweon |
| A Systems Model of the Eco-physiological Response of Plants to Environmental Heavy Metal Concentrations Vol. 4, Issue 10, Apr 2013 Submitted 2012-04-18, Accepted 2012-10-10 | Omar S. Castillo Baltasar, Nabanita Dasgupta-Schubert, Christian Schubert |
| A Spatial Modelling Approach for the Blending and Error Characterization of Remotely Sensed Soil Moisture Products Vol. 4, Issue 9, Apr 2013 Submitted 2012-03-29, Accepted 2012-10-10 | Grace Chiu, Eric Lehmann, Joshua Bowden |
| Spatial Heterogeneity of the Nile Water Quality in Egypt Vol. 4, Issue 8, Apr 2013 Submitted 2012-03-30, Accepted 2012-09-14 | Amira El-Ayouti, Hala Abou-Ali |
| Study of Meiofaunal Population on Coastal Chennai Using Experts Opinion - a Bayesian Perspective Vol. 4, Issue 7, Apr 2013 Submitted 2012-03-26, Accepted 2012-09-25 | M Subbiah, M R Srinivasan, V Kamal Nasir, K Altaff |
| Characterization Theorems Based on Conditional Quantiles with Applications Vol. 4, Issue 6, Apr 2013 Submitted 2012-02-01, Accepted 2012-10-10 | Ratan Dasgupta |
| A Counting Process with Gumbel Inter-arrival Times for Modeling Climate Data Vol. 4, Issue 5, Apr 2013 Submitted 2012-03-14, Accepted 2012-09-17 | K K Jose, Bindu Abraham |
| Practical Geostatistics Case Studies 2009 Vol. 1, Book Review 1, Feb 2010 Submitted 2009-12-12, Accepted 2009-12-12 | Reviewed by David Zes |
| Volume 4: TIES2012 |
The Journal of Environmental Statistics' purpose is to contribute to the development of statistical techniques aimed at addressing questions related to environmental data. In particular, we encourage papers devoted to the development of computational methods and models for spatial and spatial-temporal data, especially point process and geostatistical data. Of special interest also is the incorporation of geographic information systems software. Important areas of application include environmental disturbances such as earthquakes, wildfires, hurricanes, and volcanic eruptions, as well as problems relating to air pollution, climate change, water quality, mining, oceanography, geology, and meteorology. Emphasis is on applied statistics and it is expected that published papers will be of practical use for researchers working in the environmental sciences.
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