A. Stein – författare

This book is a collection of papers on spatial statistics for remote sensing. The book emerges from a study day that was organized in 1996 at the International Institute for Aerospace Survey and Earth Sciences, ITC, in Enschede, The Netherlands. It was by several means a memorable event. The beautiful new building, according to a design by the famous modern Dutch architect Max van Huet was just opened, and this workshop was the first to take place there. Of course, much went wrong during the workshop, in particular as the newest electronic equipment regularly failed. But the workshop attrackted more than hundred attendants, and was generally well received. The results of the workshop have been published in Stein et al. (1998). The aim of the workshop was to address issues of spatial statistics for remote sensing. The ITC has a long history on collecting and analyzing satellite and other remote sensing data, but its involvement into spatial statistics is of a more recent date. Uncertainties in remote sensing images and the large amounts of data in many spectral bands are now considered to be of such an impact that it requires a separate approach from a statistical point of view. To quote from the justification of the study day, we read: Modern communication means such as remote sensing require an advanced use of collected data. Satellites collect data with different resolution on different spectral bands.

This text addresses methodological issues of production ecology, and contains scientific contributions written by nine specialists. A central issue is the combination of the agricultural model with reliable data in relation to scale. A model is developed with data from a single point, whereas decisions are to be made for areas of land. Such an approach requires the use of a skilful treatment of available data and information. The book is divided into four parts: advanced information science yields the best possible models in an efficient way; geographical information systems combine various layers of spatial information; statistics upscale local information towards regions and test its reliability; and modern trends in automated modelling are identified. The book is illustrated with various practical studies, ranging from the individual model to the whole European community. It aims at a readership of graduate and post-graduate agricultural scientists, practitioners and politicians.

This book is a collection of papers on spatial statistics for remote sensing. The book emerges from a study day that was organized in 1996 at the International Institute for Aerospace Survey and Earth Sciences, ITC, in Enschede, The Netherlands. It was by several means a memorable event. The beautiful new building, according to a design by the famous modern Dutch architect Max van Huet was just opened, and this workshop was the first to take place there. Of course, much went wrong during the workshop, in particular as the newest electronic equipment regularly failed. But the workshop attrackted more than hundred attendants, and was generally well received. The results of the workshop have been published in Stein et al. (1998). The aim of the workshop was to address issues of spatial statistics for remote sensing. The ITC has a long history on collecting and analyzing satellite and other remote sensing data, but its involvement into spatial statistics is of a more recent date. Uncertainties in remote sensing images and the large amounts of data in many spectral bands are now considered to be of such an impact that it requires a separate approach from a statistical point of view. To quote from the justification of the study day, we read: Modern communication means such as remote sensing require an advanced use of collected data. Satellites collect data with different resolution on different spectral bands.

The food market is changing from a producer-controlled to a consumer-directed market. A main driving force is consumer concern about agricultural production methods and food safety. More than before, the consumer demands transparency of the production and processing chain. A food chain can be quite complex and the use of models has become indispensable to handle this complexity. Modelling tools are becoming increasingly important to guide the decisions for production of high-quality and safe agricultural foods. With the aid of models it becomes possible to control and predict quality attributes, so that product innovation can be done more efficiently. However, quality is an elusive concept, and there is always an aspect of subjectivity and uncertainty. A novel approach in the agro-food chain would be to tackle subjective elements and uncertainty in modelling by using Bayesian statistics and Bayesian Belief Networks. Bayesian approaches use prior probabilities (partly accounting for subjectivity) to estimate posterior probabilities, resulting in higher accuracy than is possible with classical statistical techniques.Thus, the variability and uncertainty in data and decisions, inherent in a complex food chain, can be dealt with.

The food market is changing from a producer-controlled to a consumer-directed market. A main driving force is consumer concern about agricultural production methods and food safety. More than before, the consumer demands transparency of the production and processing chain.A food chain can be quite complex and the use of models has become indispensable to handle this complexity. Modelling tools are becoming increasingly important to guide the decisions for production of high-quality and safe agricultural foods. With the aid of models it becomes possible to control and predict quality attributes, so that product innovation can be done more efficiently. However, quality is an elusive concept, and there is always an aspect of subjectivity and uncertainty. A novel approach in the agro-food chain would be to tackle subjective elements and uncertainty in modelling by using Bayesian statistics and Bayesian Belief Networks. Bayesian approaches use prior probabilities (partly accounting for subjectivity) to estimate posterior probabilities, resulting in higher accuracy than is possible with classical statistical techniques. Thus, the variability and uncertainty in data and decisions, inherent in a complex food chain, can be dealt with.

In the last decade, the rules for "outliving" heart disease—living well with your heart until you die of some other cause—have changed dramatically.Dr. Richard Stein, the director of Preventive Cardiology at Beth Israel Hospital in New York City, cuts through the constant stream of new reports and often-contradictory information about preventing and treating heart disease with his 10 new rules:Rule No. 1: Be Alert to Symptoms that Signal Imminent Heart AttackRule No. 2: Know Your Risk for Having a Heart Attack in the Next 10 YearsRule No. 3: Take a StatinRule No. 4: Exercise! It''s a Proactive Way to Reduce Heart Disease and Heart Attack RiskRule No. 5: Eat Well: Diet Guidelines for Heart HealthRule No. 6: Understand the Mind-Body ConnectionRule No. 7: Explore Alternative TreatmentsRule No. 8: Keep Up with the Latest Tests and TreatmentsRule No. 9: Understand the Connections to Your Gender and Your HeritageRule No. 10: Partner with Your Doctor to Reach Your Heart-Health GoalsIn plain English, Outliving Heart Disease explains: Vascular changes that take place as you age—and how they affect your heart • The specific risk factors affecting women, African-Americans, and other groups • The latest research on statins—those miracle drugs that have revolutionized the prevention and treatment of heart disease • How to create a heart-healthy diet and cardiovascular exercise program • How depression, anxiety, and stress impact the heart, and what you can do about it.Updated with the most current therapies and diagnostic techniques, this is the guide for every man and woman to prevent and treat heart disease.

The determination of crustal structure by means of explo­ sion seismology has been one of the major objectives of the European Seismological Commission (ESC) over the past twenty-five years. It was decided some time ago to publish the results of regional crustal investigations in Europe in a series of monographs. This publication entitled "Ex­ plosion Seismology in Central Europe - Data and Results" is Volume 1 in a sequence of publications dealing with the crustal structure in Europe. The European seismologists are indebted to the German Geo­ physical Society (Deutsche Geophysikalische Gesellschaft) for taking the initiative to publish this book. Thanks are due to the German Research Society (Deutsche Forschungs­ gemeinschaft) for providing generous financial support of the field measurements and data evaluation. It is hoped that this publication will stimulate a continuation of in­ vestigations of the earth''s lithosphere in order to eluci­ date the details which are still not fully understood.

The determination of crustal structure by means of explo­ sion seismology has been one of the major objectives of the European Seismological Commission (ESC) over the past twenty-five years. It was decided some time ago to publish the results of regional crustal investigations in Europe in a series of monographs. This publication entitled "Ex­ plosion Seismology in Central Europe - Data and Results" is Volume 1 in a sequence of publications dealing with the crustal structure in Europe. The European seismologists are indebted to the German Geo­ physical Society (Deutsche Geophysikalische Gesellschaft) for taking the initiative to publish this book. Thanks are due to the German Research Society (Deutsche Forschungs­ gemeinschaft) for providing generous financial support of the field measurements and data evaluation. It is hoped that this publication will stimulate a continuation of in­ vestigations of the earth's lithosphere in order to eluci­ date the details which are still not fully understood.

Under leadership of CT de Wit a large amount of modeling, building prototypes and also application, was carried out in the 1970s and 1980s. Comprehensive models were built, evaluated and carefully documented in the areas of crop growth production, plant breeding, soil water and nutrients, and in crop protection. Simulation techniques and biophysical theories developed in parallel. Simulation and experimentation always went hand in hand. Much of this work is documented in a long series of PhD theses under supervision of De Wit, in the series of Simulation Monographs (PUDOC), and in numerous other publications. This work has inspired many scientists across the global science community. The CT de Wit Graduate School of Production Ecology (PE) of the Wageningen University builds further on this platform and finds new subjects for research on and with models, and data. The PE platform provides also an excellent opportunity to develop contacts, cooperation and joint software with research groups in related fields and abroad. This book precipitates from such an exploration in new directions. We realize that modem information systems and statistics can offer a substantial contribution to the modelling framework. Good examples can be found here, and these provide a clear direction for the years to come.