Spatio-Temporal Heterogeneity

Spatio-Temporal Heterogeneity PDF

Author: Pierre Dutilleul

Publisher: Cambridge University Press

Published: 2011-05-26

Total Pages: 416

ISBN-13: 0521791278

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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.

Applying Graph Theory in Ecological Research

Applying Graph Theory in Ecological Research PDF

Author: Mark R.T. Dale

Publisher: Cambridge University Press

Published: 2017-11-09

Total Pages: 355

ISBN-13: 110708931X

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This book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.

Spatial Analysis Methods and Practice

Spatial Analysis Methods and Practice PDF

Author: George Grekousis

Publisher: Cambridge University Press

Published: 2020-06-11

Total Pages: 535

ISBN-13: 1108498981

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An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.

Regression Modelling wih Spatial and Spatial-Temporal Data

Regression Modelling wih Spatial and Spatial-Temporal Data PDF

Author: Robert P. Haining

Publisher: CRC Press

Published: 2020-01-27

Total Pages: 527

ISBN-13: 0429529104

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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.

Logic-Driven Traffic Big Data Analytics

Logic-Driven Traffic Big Data Analytics PDF

Author: Shaopeng Zhong

Publisher: Springer Nature

Published: 2022-02-01

Total Pages: 296

ISBN-13: 9811680167

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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.

Geographically Weighted Regression

Geographically Weighted Regression PDF

Author: A. Stewart Fotheringham

Publisher: John Wiley & Sons

Published: 2003-02-21

Total Pages: 282

ISBN-13: 0470855258

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Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).

Ecosystem Function in Heterogeneous Landscapes

Ecosystem Function in Heterogeneous Landscapes PDF

Author: Gary M. Lovett

Publisher: Springer Science & Business Media

Published: 2005-12-15

Total Pages: 528

ISBN-13: 9780387240893

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This groundbreaking work connects the knowledge of system function developed in ecosystem ecology with landscape ecology's knowledge of spatial structure. The book elucidates the challenges faced by ecosystem scientists working in spatially heterogeneous systems, relevant conceptual approaches used in other disciplines and in different ecosystem types, and the importance of spatial heterogeneity in conservation resource management.

The Princeton Guide to Ecology

The Princeton Guide to Ecology PDF

Author: Simon A. Levin

Publisher: Princeton University Press

Published: 2012-09-30

Total Pages: 826

ISBN-13: 0691156042

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The Princeton Guide to Ecology is a concise, authoritative one-volume reference to the field's major subjects and key concepts. Edited by eminent ecologist Simon Levin, with contributions from an international team of leading ecologists, the book contains more than ninety clear, accurate, and up-to-date articles on the most important topics within seven major areas: autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management. Complete with more than 200 illustrations (including sixteen pages in color), a glossary of key terms, a chronology of milestones in the field, suggestions for further reading on each topic, and an index, this is an essential volume for undergraduate and graduate students, research ecologists, scientists in related fields, policymakers, and anyone else with a serious interest in ecology. Explains key topics in one concise and authoritative volume Features more than ninety articles written by an international team of leading ecologists Contains more than 200 illustrations, including sixteen pages in color Includes glossary, chronology, suggestions for further reading, and index Covers autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management