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Author: Pierre Dutilleul
Publisher: Cambridge University Press
ISBN: 0521791278
Category : Nature
Languages : en
Pages : 416
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Book Description
Our living environment continuously changes in space and time. This book explains how to capture and assess these changes through the relevant statistical framework. It is a useful guide to students, teachers and researchers in the fields of biology, ecology and environmental science. Codes on the accompanying CD-ROM aid analyses.
Author: Pierre Dutilleul
Publisher: Cambridge University Press
ISBN: 0521791278
Category : Nature
Languages : en
Pages : 416
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Book Description
Our living environment continuously changes in space and time. This book explains how to capture and assess these changes through the relevant statistical framework. It is a useful guide to students, teachers and researchers in the fields of biology, ecology and environmental science. Codes on the accompanying CD-ROM aid analyses.
Author: Maria Herberg
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: David M. John
Publisher:
ISBN: 110847800X
Category : Science
Languages : en
Pages : 897
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Book Description
First comprehensive guide of its kind, this volume is essential for any study of freshwater algae in the British Isles.
Author: Swamini Khurana
Publisher:
ISBN:
Category :
Languages : de
Pages : 0
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Book Description
The subsurface compartment of the Earth's Critical Zone is one of the biggest stores of carbon and nitrogen, and provides habitat for 95% of the global estimates of microbial biomass. These microbes mediate the transformation of carbon and nitrogen in the subsurface. But, their contribution to biogeochemical cycles is not yet estimated on a global scale due to the inaccessibility and the spatio-temporal heterogeneity of the subsurface. The relevance of these sub-scale spatio-temporal heterogeneities with respect to carbon and nitrogen cycling rates is not understood. This in turn affects interpretation of field data and formulation of suitable modelling studies. In this work, I addressed this gap by assessing the effect of spatio-temporal heterogeneities on microbial mediated transformation of carbon and nitrogen using a numerical modeling approach. I set up spatially heterogeneous simulation domains representative of the subsurface and introduced a network of microbial mediated reactions in these domains. I subjected these domains to temporal dynamics. I, then, quantified the impact of spatial heterogeneity on microbial mediated nutrient cycling in the subsurface and quantified the impact of temporal dynamics in the saturated zone of the subsurface. Consolidating the results, I proposed that indicators such as travel time of conservative solutes can be used to identify four types of reactive systems that respond to spatio-temporal heterogeneities in the subsurface: Reaction dominated systems, reaction influenced systems, transport influenced systems and transport dominated systems. The approach used in this thesis is applicable, transferrable, and suitably scalable across different sites. It can, thus, be used to fill a critical gap in the global biogeochemical budgets. It can also assist in forming a predictive understanding of the behavior of heterogeneous reactive systems in temporally dynamic conditions, resulting in secured access to groundwater.
Author: Mark R.T. Dale
Publisher: Cambridge University Press
ISBN: 110708931X
Category : Mathematics
Languages : en
Pages : 355
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Book Description
This book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.
Author: Yury Yegorov
Publisher:
ISBN:
Category :
Languages : en
Pages : 165
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Book Description
Author: Robert P. Haining
Publisher: CRC Press
ISBN: 0429529104
Category : Mathematics
Languages : en
Pages : 527
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Book Description
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.
Author: Charles Swanton
Publisher: Perspectives Cshl
ISBN: 9781621821434
Category : Medical
Languages : en
Pages : 350
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Book Description
Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expand, accumulate new mutations, and are subjected to selective pressures from the environment, including anticancer interventions. This process, termed clonal evolution, can lead to the emergence of therapy-resistant tumors and poses a major challenge for cancer eradication efforts. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines cancer progression as an evolutionary process and explores how this way of looking at cancer may lead to more effective strategies for managing and treating it. The contributors review efforts to characterize the subclonal architecture and dynamics of tumors, understand the roles of chromosomal instability, driver mutations, and mutation order, and determine how cancer cells respond to selective pressures imposed by anticancer agents, immune cells, and other components of the tumor microenvironment. They compare cancer evolution to organismal evolution and describe how ecological theories and mathematical models are being used to understand the complex dynamics between a tumor and its microenvironment during cancer progression. The authors also discuss improved methods to monitor tumor evolution (e.g., liquid biopsies) and the development of more effective strategies for managing and treating cancers (e.g., immunotherapies). This volume will therefore serve as a vital reference for all cancer biologists as well as anyone seeking to improve clinical outcomes for patients with cancer.
Author: Shaopeng Zhong
Publisher: Springer Nature
ISBN: 9811680167
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.
Author: U.S. Department of the Interior
Publisher: CreateSpace
ISBN: 9781496030061
Category : Reference
Languages : en
Pages : 110
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Book Description
Spatio-temporal systems with heterogeneity in their structure and behavior have two major problems associated with them. The first one is that such complex real world systems extend over very large spatial and temporal domains and consume so many computational resources to simulate that they are infeasible to study with current computational platforms. The second one is that the data available for understanding such systems is limited because they are spread over space and time making it hard to obtain micro and macro measurements .
