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Literature / Source Database:
Environmetrics
Description
The official Journal of The International Environmetrics Society (TIES)
| Title (short) |
Environmetrics |
| CODEN |
ENVCEE |
| Languages |
English |
| First year |
1990 |
| Impact factor |
1.16 |
| Editor |
Walter W. Piegorsch |
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Status
active
Indexing
Aqualine Abstracts (CSA/CIG); Bibliography & Index of Geology/GeoRef (AGI); BIOBASE (Elsevier); Biological Abstracts® (Thomson ISI); BIOSIS Previews® (Thomson ISI); CAB Abstracts® (CABI); Cambridge Scientific Abstracts (CSA/CIG); Chemical Abstracts Service/SciFinder (ACS); CompuMath Citation Index® (Thomson ISI); CSA Environmental Sciences & Pollution Management Database (CSA/CIG); Current Abstracts (EBSCO); Current Awareness in Biological Sciences (Elsevier); Current Contents®/Agriculture, Biology & Environmental Sciences (Thomson ISI); Current Index to Statistics (ASA/IMS); Environment Abstracts (LexisNexis); Environmental Issues & Policy Index (EBSCO); GEOBASE/Geographical & Geological Abstracts (Elsevier); INSPEC (IET)
Journal Citation Reports/Science Edition (Thomson ISI); Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS); Meteorological & Geoastrophysical Abstracts (CSA/CIG); PASCAL Database (INIST/CNRS); Science Citation Index Expanded™ (Thomson ISI); Science Citation Index® (Thomson ISI); SCOPUS (Elsevier); Statistical Theory & Method Abstracts (International Statistical Institute); Web of Science® (Thomson ISI)
Subject
Source type
Journal
Publisher
ISBN ISSN
1180-4009
E ISSN
1099-095X
First volume
1
Last volume
25+
Homepage
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Availability |
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free access |
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| Text Html |
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for subscriber |
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| References |
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not available |
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| Abstracts |
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| TOC |
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Description
Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences.
The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data. keywords:
ecological statistics, ecosystems services, climate change, geostatistics, natural resources, risk assessment, environmental health, environmental engineering, physical processes, chemometrics, stochastic modelling, forestry, acid rain, pollution
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