Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
Presents the current state-of-the-art in geostatistics for environmental applications
Part of a unique reference series
Collects recent advances in geostatistics for environmental applications
Includes many of the world’s leading authors in geostatistics for environmental applications
This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK, in September 2008. This book presents the state-of-the-art in geostatistics for the environmental sciences. It includes a wide range of methodological advances and applications. It offers insight and guidance for researchers, professionals, graduate students and others seeking information on the latest perspectives in the field. The rich body of applications will enable those new to geostatistics to assess the utility of the methods for their own applications.
The book includes 35 chapters on topics as diverse as methodological developments, applications in the soil sciences, climatology, pollution, health, wildlife mapping, fisheries and remote sensing, amongst other areas. With its focus on environmental applications of geostatistics, rather than the more traditional geostatistical remit of mining and petroleum exploration, this book is part of a series that presents an invaluable resource. This book will be a first port of call for those who wish to apply geostatistical methods in the environmental sciences.
Audience: Researchers, scientists, professionals, institutes, libraries, graduate students of geosciences, geostatistics, spatial statistics, environmental science and engineering, ecology, oceanography, climatology, hydrology, soil and forestry science.
Content Level »Graduate
Keywords »Environment - Geostatistics - Kriging - Spatial analysis - algorithms - biology - data analysis - digital elevation model - geostatistical analysis - learning - machine learning - pollution - simulation - statistics - transport