Spatial Pattern Analysis in Plant Ecology PDF Download
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Author: Mark R. T. Dale
Publisher: Cambridge University Press
ISBN: 9780521794374
Category : Nature
Languages : en
Pages : 340
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Book Description
A review and evaluation of the analysis methods for studying spatial pattern in vegetation.
Author: Mark R. T. Dale
Publisher: Cambridge University Press
ISBN: 9780521794374
Category : Nature
Languages : en
Pages : 340
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Book Description
A review and evaluation of the analysis methods for studying spatial pattern in vegetation.
Author: Kevin McGarigal
Publisher:
ISBN:
Category : FRAGSTATS.
Languages : en
Pages : 132
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Book Description
Author: Marie-Josée Fortin
Publisher: Cambridge University Press
ISBN: 9780521804349
Category : Mathematics
Languages : en
Pages : 386
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Book Description
An overview of the wide range of spatial statistics available to analyse ecological data.
Author: Jeffrey M. Klopatek
Publisher: Springer Science & Business Media
ISBN: 1461205298
Category : Science
Languages : en
Pages : 407
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Book Description
Growth in the field of landscape ecology has included the development of methods and results that can be applied to an impressive range of environmental issues. This book addresses a broad spectrum of political, theoretical and applied aspects that often arise in the design and execution of landscape studies. The concepts of geographical scale and hierarchy arising within the confines of landscape ecology are examined, and a series of techniques are presented to address problems in spatial and temporal analysis. This book will provide the reader with a current perspective on this rapidly evolving science.
Author: David J. Gibson
Publisher: Oxford University Press, USA
ISBN: 0199671478
Category : Nature
Languages : en
Pages : 319
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Book Description
A user-friendly introduction to the methodology of plant population ecology research.
Author: Adrian Baddeley
Publisher: CRC Press
ISBN: 1482210215
Category : Mathematics
Languages : en
Pages : 830
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Book Description
Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R 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 th
Author: Luc Anselin
Publisher: Springer Science & Business Media
ISBN: 3642019765
Category : Business & Economics
Languages : en
Pages : 291
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Book Description
Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied ?elds, the attention to space, location, and interaction has become an important feature of scholarly work. The methodsdevelopedto dealwith problemsofspatialpatternrecognition,spatialau- correlation, and spatial heterogeneity have seen greatly increased adoption, in part due to the availability of user friendlydesktopsoftware. Throughhis theoretical and appliedwork,ArthurGetishasbeena majorcontributing?gureinthisdevelopment. In this volume, we take both a retrospective and a prospective view of the ?eld. We use the occasion of the retirement and move to emeritus status of Arthur Getis to highlight the contributions of his work. In addition, we aim to place it into perspective in light of the current state of the art and future directions in spatial data analysis. To this end, we elected to combine reprints of selected classic contributions by Getiswithchapterswrittenbykeyspatialscientists.Thesescholarswerespeci?cally invited to react to the earlier work by Getis with an eye toward assessing its impact, tracing out the evolution of related research, and to re?ect on the future broadening of spatial analysis. The organizationof the book follows four main themes in Getis’ contributions: • Spatial analysis • Pattern analysis • Local statistics • Applications For each of these themes, the chapters provide a historical perspective on early methodological developments and theoretical insights, assessments of these c- tributions in light of the current state of the art, as well as descriptions of new techniques and applications.
Author: Thorsten Wiegand
Publisher: CRC Press
ISBN: 1420082558
Category : Mathematics
Languages : en
Pages : 525
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Book Description
Understand How to Analyze and Interpret Information in Ecological Point PatternsAlthough numerous statistical methods for analyzing spatial point patterns have been available for several decades, they haven't been extensively applied in an ecological context. Addressing this gap, Handbook of Spatial Point-Pattern Analysis in Ecology shows how the t
Author: Adrian Newton
Publisher: OUP Oxford
ISBN: 0191524352
Category : Science
Languages : en
Pages : 472
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Book Description
Forest conservation has become one of the most important environmental issues currently facing humanity, as a result of widespread deforestation and forest degradation. Pressures on remaining natural forests continue to intensify, leading to high rates of biodiversity loss. Understanding how human activities influence ecological processes within forests is essential for developing effective conservation action. This book describes research methods and techniques relevant to understanding forest ecology, with a particular focus on those that are relevant to practical conservation and sustainable forest management. This information is currently disparate and difficult to locate and, as with other books in this series, the intention is to provide a comprehensive synthesis for use by graduate students, researchers and practising conservationists. Methods are presented for assessing forest extent and condition, structure and composition, and forest dynamics at a variety of scales. Techniques for assessing genetic variation and reproductive ecology, and for evaluating the habitat value of forests are also described. Particular emphasis is given to state-of-the-art techniques such as remote sensing, GIS, computer modelling and molecular markers. However, traditional methods of forest mensuration and ecological survey are also presented. The methods and techniques described are generally applicable to all forest types, including both temperate and tropical forest ecosystems.
Author: Richard E. Plant
Publisher: CRC Press
ISBN: 9780367732325
Category :
Languages : en
Pages : 666
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Book Description
Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https: //www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
