Spatial Pattern Analysis in Plant Ecology

Spatial Pattern Analysis in Plant Ecology PDF 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.

Spatial Pattern Analysis in Plant Ecology

Spatial Pattern Analysis in Plant Ecology PDF Author: Mark Randall Thomas Dale
Publisher: Cambridge University Press
ISBN: 9780521452274
Category : Science
Languages : en
Pages : 204

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Book Description
A review and evaluation of the analysis methods for studying spatial pattern in vegetation.

Spatial Pattern Analysis in Plant Ecology

Spatial Pattern Analysis in Plant Ecology PDF Author: Mark Randall Thomas Dale
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Spatial Analysis

Spatial Analysis PDF 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.

Spatial Pattern Analysis Applied to Plant Ecology

Spatial Pattern Analysis Applied to Plant Ecology PDF Author: João Marcelo Brazão Protázio
Publisher:
ISBN: 9783639043549
Category : Science
Languages : en
Pages : 156

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Book Description
The spatial structure of a forest stand is an important signature of forest dynamics. The local environment determines competition among the trees, growth, death and regeneration. Therefore, the spatial configuration of the individual trees in a forest stand can provide information about the underlying ecological processes at the site. This thesis focuses on the determination and analysis of the local constellation of individual trees (characterized by species, age, size etc.) in a forest stand. A large number of spatial statistical methods can be applied to this spatial pattern analysis. Besides using some classical statistical methods, I propose two new methods for spatial analysis. First, I develop a new method for the spatial analysis of objects. That approximates each individual tree as a circle, instead of a point, thus minimizing the bias of the classical methods. Finally, I proposed a new method, based on Wavelet Transform, to obtain spatial scale information about the point processes occurring within a study site. By this, this approach goes beyond classical point pattern methods and is innovative.

Handbook of Spatial Point-Pattern Analysis in Ecology

Handbook of Spatial Point-Pattern Analysis in Ecology PDF 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

FRAGSTATS

FRAGSTATS PDF Author: Kevin McGarigal
Publisher:
ISBN:
Category : FRAGSTATS.
Languages : en
Pages : 132

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Book Description


Landscape Ecological Analysis

Landscape Ecological Analysis PDF 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.

Spatial Data Analysis in Ecology and Agriculture Using R

Spatial Data Analysis in Ecology and Agriculture Using R PDF 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.

Spatial Point Patterns

Spatial Point Patterns PDF 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