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This book shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions. The book uses the authors? R package spatstat throughout to process and analyze spatial point pattern data.
Presents the principles of stereology from a statistical viewpoint, focusing on both basic theory and practical implications. This title discusses ways to effectively communicate statistical issues to clients, draws attention to common methodological errors, and provides references to essential literature.
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