Jennifer McKinley – författare
709 kr
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This book describes the wider application of many different geoscience-based methods in assisting law enforcers with investigations such as international and national crimes of genocide and pollution, terrorism and domestic crime as well as accident investigation. The text makes a clear link to the increasingly important aspects of the spatial distribution of geoscience materials (be it soil sampling or the distribution of mud-spatter on clothing), Geographic Information Science and geostatistics.
A comprehensive introduction to the application of geoscience to criminal investigation Examples taken from an environmental and humanitarian perspective in addition to the terrorist and domestic criminal cases more regularly discussed A chapter on the use of GIS in criminalistics and information on unusual applications and methods - for example underwater scene mapping and extraterrestrial applications Material on how geoscience methods and applications are used at a crime scene Accompanying website including key images and references to further material An invaluable text for both undergraduate and postgraduate students taking general forensic science degrees or geoscience courses"The whole book is peppered with useful and appropriate examples from the authors'' wide experiences and also from the wider literature... an essential purchase for any forensic science department as well as for any law enforcement organisation."—Lorna Dawson, Macaulay Institute
8 947 kr
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The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.