Geostatistics For Natural Resources Evaluation

Geostatistics for Natural Resources Evaluation PDF
Author: Pierre Goovaerts
Publisher: Oxford University Press on Demand
ISBN: 9780195115383
Size: 44.66 MB
Format: PDF
Category : Science
Languages : en
Pages : 483
View: 203

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This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences.

Geostatistics And Petroleum Geology

Geostatistics and Petroleum Geology PDF
Author: Michael Hohn
Publisher: Springer Science & Business Media
ISBN: 9780412757808
Size: 49.58 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 235
View: 5213

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This is an extensive revision of a book that I wrote over ten years ago. My purpose then has remained unchanged: to introduce the concepts and methods of spatial statistics to geologists and engineers working with oil and gas data. I believe I have accomplished more than that; just as I learned the basics of variography and kriging from books for mining engineers, this book could be used by scientists from many fields to learn the basics of the subject. I have tried to adopt an introductory and practical approach to the subject, knowing that books that detail the theory are available. What I say and write comes from my own experience. As a geologist working in the public sector, I have had the privilege of using geostatistics in funded research, in answering service requests from industry, and in short courses. I have taught geostatistics in the university classroom, and advised graduate students in theses and dissertations. I have attempted to anticipate the needs and questions of the enquiring scientist because I was there myself, and know the kind of questions and concerns I had at the time I was trying to learn the subject.

Remote Sensing Of Natural Resources

Remote Sensing of Natural Resources PDF
Author: Guangxing Wang
Publisher: CRC Press
ISBN: 1466556927
Size: 60.55 MB
Format: PDF, Docs
Category : Nature
Languages : en
Pages : 580
View: 1068

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Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers.

Mineral Resource Estimation

Mineral Resource Estimation PDF
Author: Mario E. Rossi
Publisher: Springer Science & Business Media
ISBN: 1402057172
Size: 14.73 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 332
View: 3943

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Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.

Key Methods In Geography

Key Methods in Geography PDF
Author: Nicholas Clifford
Publisher: SAGE
ISBN: 9780761974925
Size: 29.76 MB
Format: PDF
Category : Science
Languages : en
Pages : 572
View: 2527

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Key Methods in Geography is an introduction for undergraduates to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It provides an accessible primer, which will be used by students as a reference throughout their degree, on all issues from research design to presentation. A unique feature of the book is that it provides definitions of terms from both human geography and physical geography. Organized into four parts: Getting Started in Geographical Research; Data Collection in Human Geography; Data Collection in Physical Geography; Analyzing and Representing Geographical Data. Each chapter is comprised of a short definition, a summary of the principal arguments, a substantive 5,000-word discussion, the use of real-life examples, and annotated notes for further reading. The teaching of research methods is integral in all geography courses. Key Methods in Geography identifies the key analytical and observational strategies with which all geography undergraduates should be conversant.

Advanced Mapping Of Environmental Data

Advanced Mapping of Environmental Data PDF
Author: Mikhail Kanevski
Publisher: John Wiley & Sons
ISBN: 1118623266
Size: 26.28 MB
Format: PDF, Kindle
Category : Social Science
Languages : en
Pages : 352
View: 1617

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This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.

Geoworld

GeoWorld PDF
Author:
Publisher:
ISBN:
Size: 42.12 MB
Format: PDF
Category : Geographic information systems
Languages : en
Pages :
View: 7723

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Geoinformatics For Natural Resource Management

Geoinformatics for Natural Resource Management PDF
Author: P. K. Joshi
Publisher: Nova Science Pub Incorporated
ISBN:
Size: 73.48 MB
Format: PDF
Category : Nature
Languages : en
Pages : 634
View: 829

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A fundamental requirement of Agenda 21 of UNCED is to support sustainable development while safeguarding the Earth's environment. This requires optimal management of natural resources which depends on the availability of reliable and timely information at the global, national, regional and local scales. One such technology, "Geoinformatics", consisting of Remote Sensing (RS), Geographical Information System (GIS), and Global Positioning System (GPS) is source of reliable and timely information needed for natural resource management, environmental protection and addressing issues related to sustainable development. It offers a powerful tool for resource assessment, mapping, monitoring, modelling, management etc. It is also capable to make use of recent developments in the digital integration of human reasoning, data and dynamic models. These tools have been available for past three decades. Many institutions and organisations are carrying out various research and operational applications of direct relevance particular to natural resource management. However, there are still limitations in understanding the underlying science and research elements, as there are larger questions of capacity building to use geoinformatics in natural resource management and associated sustainable development applications. These programs also find gaps between the theoretical concepts and the operational utilisation of these tools. This could be solved by providing wide range of applications and prospective potential of this technology to the students and research community in this area. "Geoinformatics for Natural Resource Management" contains chapters written by noted researchers and experts. The focus emerged with filling a gap in the available literature on the subject by bringing together the concepts, theories and experiences of the experts in this field.