Quantitative description of variable material; Sampling and estimation; Generalization, prediction, and classification; Relations between variables: covariance and correlation; Regression; Relations between indivuduals: similarity; Ordination; Analysis of dispersion and discrimination; Numerical classification: hirarchical systems; Numerical classification: non-hierarchical methods; Spatial dependence; Nested sampling and analysis; Local estimation: kriging; Appendix: matrix methods and notation.

Provides guidelines to promote the development and implementation of consistent methods and standards for conducting soil and land resource surveys in Australia.

Guidelines for Surveying Soil and Land Resources promotes the development and implementation of consistent methods and standards for conducting soil and land resource surveys in Australia. These surveys are primarily field operations that aim to identify, describe, map and evaluate the various kinds of soil or land resources in specific areas. The advent of geographic information systems, global positioning systems, airborne gamma radiometric remote sensing, digital terrain analysis, simulation modelling, efficient statistical analysis and internet-based delivery of information has dramatically changed the scene in the past two decades. As successor to the Australian Soil and Land Survey Handbook: Guidelines for Conducting Surveys, this authoritative guide incorporates these new methods and techniques for supporting natural resource management. Soil and land resource surveyors, engineering and environmental consultants, commissioners of surveys and funding agencies will benefit from the practical information provided on how best to use the new technologies that have been developed, as will professionals in the spatial sciences such as geomorphology, ecology and hydrology.

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

We are entering a new era in production agronomics. Agricultural scientists the world over call for the development of techniques that simultaneously increase soil carbon storage and reduce agriculture's energy use. In response, site-specific or precision agriculture has become the focus and direction for the three motivating forces that are changi

Current geographical information systems GIS deal almost exclusively with well-defined, static geographical objects ranging from physical landscapes to towns and transport systems. Such objects, exactly located in space, can easily be handled by modern GIS, yet form only a small proportion of all the possible geographical objects.; This book challenges the assumption that the world is compsed of exactly defined and bounded geographic objects such as land parcels, rivers and countries. ignoring the essential complexity of the world, current GIS do not adequately address problems as diverse as the resolution of crime between national boundaries, or the interpretation of views of people from different cultures. This work, bringing together a range of specialists from fields such as linguistics, computer science, land surveying, cartography and soil science, examines current research into the challenges of dealing with geographical phenomena that cannot easily be forced into one of the two current standard data models.

Offers a practical introduction to the various basic methods of assessing the properties of soil. Each method is explained in a concise and accessible manner, providing useful guidance on how each method might be used in a practical situation.

Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited. Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.