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Phenological Research

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Cover of 'Phenological Research'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction and Overview
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    Chapter 2 Global Framework for Data Collection – Data Bases, Data Availability, Future Networks, Online Databases
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    Chapter 3 Seasonality as a Core Business of Phenology
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    Chapter 4 Societal adaptation Options to Changes in Phenology
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    Chapter 5 The Influence of Sampling Method, Sample Size, and Frequency of Observations on Plant Phenological Patterns and Interpretation in Tropical Forest Trees
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    Chapter 6 Regression and Causality
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    Chapter 7 Combining Messy Phenological Time Series
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    Chapter 8 Phenology for Topoclimatological Surveys and Large-Scale Mapping
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    Chapter 9 Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
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    Chapter 10 Climatic Influences on the Flowering Phenology of Four Eucalypts: A GAMLSS Approach
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    Chapter 11 Bayesian Methods in Phenology
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    Chapter 12 Smoothing Methods
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    Chapter 13 Accounting for Correlated Error Structure Within Phenological Data: a Case Study of Trend Analysis of Snowdrop Flowering
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    Chapter 14 Modelling the Flowering of Four Eucalypt Species Using New Mixture Transition Distribution Models
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    Chapter 15 Life History Mediated Responses to Weather, Phenology and Large-Scale Population Patterns
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    Chapter 16 Applications of Circular Statistics in Plant Phenology: a Case Studies Approach
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    Chapter 17 Wavelet Analysis of Flowering and Climatic Niche Identification
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    Chapter 18 Singular Spectrum Analysis: Climatic Niche Identification
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    Chapter 19 Herbarium Collections and Photographic Images: Alternative Data Sources for Phenological Research
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    Chapter 20 Meta-Analysis and Its Application in Phenological Research: a Review and New Statistical Approaches
Attention for Chapter 9: Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
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Chapter title
Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
Chapter number 9
Book title
Phenological Research
Published by
Springer, Dordrecht, January 2010
DOI 10.1007/978-90-481-3335-2_9
Book ISBNs
978-9-04-813334-5, 978-9-04-813335-2
Authors

Kirsten M. de Beurs, Geoffrey M. Henebry, de Beurs, Kirsten M., Henebry, Geoffrey M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Australia 2 1%
United Kingdom 2 1%
Kenya 1 <1%
Czechia 1 <1%
Israel 1 <1%
Brazil 1 <1%
China 1 <1%
Taiwan 1 <1%
Other 2 1%
Unknown 179 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 26%
Researcher 37 19%
Student > Master 25 13%
Student > Bachelor 15 8%
Student > Doctoral Student 12 6%
Other 28 14%
Unknown 27 14%
Readers by discipline Count As %
Environmental Science 66 34%
Earth and Planetary Sciences 43 22%
Agricultural and Biological Sciences 20 10%
Computer Science 5 3%
Engineering 5 3%
Other 9 5%
Unknown 46 24%