geoENV IV — Geostatistics for Environmental Applications: Proceedings of the Fourth European Conference on Geostatistics for Environmental Applications held in Barcelona, Spain, November 27–29, 2002Xavier Sanchez-Vila, Jesus Carrera, Jaime Gómez-Hernández The fourth edition of the European Conference on Geostatistics for Environmental Applications (geoENV IV) took place in Barcelona, November 27-29, 2002. As a proof that there is an increasing interest in environmental issues in the geostatistical community, the conference attracted over 100 participants, mostly Europeans (up to 10 European countries were represented), but also from other countries in the world. Only 46 contributions, selected out of around 100 submitted papers, were invited to be presented orally during the conference. Additionally 30 authors were invited to present their work in poster format during a special session. All oral and poster contributors were invited to submit their work to be considered for publication in this Kluwer series. All papers underwent a reviewing process, which consisted on two reviewers for oral presentations and one reviewer for posters. The book opens with one keynote paper by Philippe Naveau. It is followed by 40 papers that correspond to those presented orally during the conference and accepted by the reviewers. These papers are classified according to their main topic. The list of topics show the diversity of the contributions and the fields of application. At the end of the book, summaries of up to 19 poster presentations are added. The geoENV conferences stress two issues, namely geostatistics and environmental applications. Thus, papers can be classified into two groups. |
Contents
| 15 | |
ATKINSON P M | 28 |
Improving satellite image forest cover classification with field | 41 |
BIO A M F CARVALHO H MAIO P AND ROSARIO L | 55 |
CHRISTAKOS G KOLOVOS A SERRE M L ABHISHEK C | 78 |
Geostatistical digital image merging | 79 |
HAMM N ATKINSON P M AND MILTON E | 103 |
L CHRISTAKOS G AND LEE S | 127 |
Combining categorical information with the Bayesian | 295 |
FROIDEVAUX | 318 |
JOHANNESSON G AND CRESSIE | 331 |
A spectral test of nonstationarity for spatial processes | 343 |
Geostatistical analysis of three dimensional current patterns | 367 |
GUILLOT G COURAULT D AND BRUCHOU C | 391 |
AND TODINI | 413 |
contamination in Guadiamar river margins FRANCO C SOARES A AND DELGADOGARCÍA | 437 |
DERAISME J JAQUET O AND JEANNEE | 151 |
J AND STEIN M L | 174 |
conditioned at the well AXNESS C L GÓMEZHERNÁNDEZ J J AND CARRERA | 199 |
A geostatistical model for distribution of facies in highly | 211 |
Evaluation of different measures of flow and transport | 235 |
PTAK T AND LIEDL | 259 |
BOGAERT | 282 |
use of | 461 |
J SOARES A BRANQUINHO C AUGUSTO | 485 |
AND DAFONTE | 498 |
JARPE | 512 |
Geostatistical analysis of trace elements at small catchment is | 516 |
Sandstone Aquifer | 532 |
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Common terms and phrases
2004 Kluwer Academic Aardewerk algorithm analysis approach aquifer average Bayesian calculated categorical variables cells classes classification clustering cokriging component computed conditional distribution considered contaminant Cork oak correlation correlogram corresponding covariance function covariance model data set defined dioxin distance distribution domain Environmental Applications equation error estimation evapotranspiration exponential Figure flow Gaussian geoENV Geostatistics for Environmental Goovaerts grid groundwater Guadagnini hard data heavy metal heterogeneous histogram hydraulic conductivity hydraulic head interpolation Journel Kalman filter Kluwer Academic Publishers kriging linear Maritime pine matrix maximum measurements method methodology monitoring stations multivariate observations obtained optimal ordinary kriging ozone parameters particles pixel points pollutant prediction probability procedure radar rainfall random field regression remotely sensed sampling Sanchez-Vila satellite image scenario semivariogram soft data soil solution space-time spatial variability statistics stochastic study area sub-pixels super-resolution surface Table technique trend uncertainty values variance variogram model vector ZACs zones