Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools and meta-heuristic techniques. The book is clearly organized into four parts that cover natural hazards, environmental hazards, advanced tools and technologies in risk management, and future challenges in computer applications to hazards and risk management. Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source of information on the latest tools and technologies available. - Covers advanced tools and technologies in risk management of hazards in both the Earth and Environmental Sciences - Details the benefits and applications of various technologies to assist researchers in choosing the most appropriate techniques for purpose - Expansively covers specific future challenges in the use of computers in Earth and Environmental Science - Includes case studies that detail the applications of the discussed technologies down to individual hazards

It has been evident for several years that a summary of where we came from, where we are, and where we are going with computer-oriented research was not only desir able but necessary. The application of computers by earth scientists is numerous and the methods have proved of val ue in problem solving as well as data processing. Many methods unknown or unavailable just a few years ago now are used routinely. An overall appraisal of the methods at this time is deemed more than appropriate. Preface to the program was stated as Computer applications in the earth sciences is the subject of this International Symposium held on campus at The University of Kansas at Lawrence on 16, 17, and 18 June 1969. The symposium, the sixth in a series, is sponsored by the Kansas Geological Survey, International As sociation for Mathematical Geology, and University Extension. Papers by leading experts in their field stress the "status-of-the-art." Speakers will discuss the use of computers in the earth sciences, past, present, and future. The meeting is planned for those not acquainted with the tremendous ad vancements made in quantitative methods in recent years and those who are interested in future pos sibilities.

Computer Applications in Geography Paul M. Mather Department of Geography, University of Nottingham, England Geography graduates are expected to be computer literate, yet the literature on computing is often inaccessible to them. This book is intended for undergraduate students of geography who wish to familiarise themselves with the terminology of computers and to read about the ways in which computers are presently being used in geography. It assumes no prior knowledge of computers and no mathematical skills beyond those possessed by the average layman. The first two chapters form a technical introduction to computers and data. The remaining five chapters are devoted to individual topics representing a selection of the main areas of computer use in geography and show how computers can be used to acquire, process and display geographical data. Worked examples, with example data sets, are given for three program packages that are widely used by geographers--SPSS, SYMAP and GIMMS. The book is comprehensive in its coverage of the major areas of computer applications and will be of interest to geographers dealing with statistics, digital cartography, remote sensing, geographical information systems and simulation models.

Geostatistics is expanding very fast: concept- and technique-wise. Keeping in view the importance of the subject, it was thought appropriate to bring out the second edition of this book. In this process, Chapter I has been expanded In Chapter 2, incorporating more details on sampling and sampling designs. a section on simulation has been introduced with emphasis on Monte-Carlo simulation with worked out examples. In Chapter 5, a procedure to compute variogram in the case of irregular grid has been outlined. Minor modifications have been made in all other chapters. A new chapter on Introduction to Advanced Geostatistics has been introduced with discussions on universal kriging, disjunctive kriging, conditional simulation and median polish kriging. Review Questions are given at the end of each chapter to facilitate a better understanding of the subject by the student/practitioner. The software codes are put in a CD for convenience of the students/practitoner of geostatistics. A few additions have been made in the bibliography making it more exhaustive. This contains references to the concepts and methods presented, in-depth treatment of related topics and possible extensions. My grateful thanks are due to Dr. B.S. Saini, Principal, Guru Nanak Engg. College, Hyderabad for very helpful support. I hope that this edition will be a welcome one.