Remote Sensing and GIS for Ecologists

Using Open Source Software

Author: Martin Wegmann,Benjamin Leutner,Stefan Dech

Publisher: Pelagic Publishing Ltd

ISBN: 1784270245

Category: Science

Page: 352

View: 3304

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This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS.Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided.This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.

Remote Sensing and Gis for Ecologists

Using Open Source Software

Author: Martin Wegmann,Benjamin Leutner,Stefan Dech

Publisher: Pelagic Pub Limited

ISBN: 9781784270230

Category: Nature

Page: 324

View: 942

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This book will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.

Remote Sensing and GIS for Ecologists

Author: Martin Wegmann,Benjamin Leutner,Stefan Dech

Publisher: Pelagic Pub Limited

ISBN: 9781784270223

Category: Nature

Page: 324

View: 8331

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This book will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.

Statistics for Ecologists Using R and Excel

Data Collection, Exploration, Analysis and Presentation

Author: Mark Gardener

Publisher: Pelagic Publishing Ltd

ISBN: 1784271411

Category: Science

Page: 406

View: 2123

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This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs.Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression.Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results.New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises.Praise for the first edition:This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council[M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBloggingA must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star reviewIt has been very easy to follow and will be perfect for anyone. – Amazon 5-star reviewA solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review

Remote Sensing of Vegetation

Principles, Techniques, and Applications

Author: Hamlyn G Jones,Robin A Vaughan

Publisher: Oxford University Press

ISBN: 0199207798

Category: Science

Page: 353

View: 1081

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An accessible yet rigorous introduction to remote sensing and its application to the study of vegetation for advanced undergraduate and graduate students. The underlying physical and mathematical principles of the techniques disucussed are explained in a way readily understood by those without a strong mathematical background.

Foundation Papers in Landscape Ecology

Author: John A. Wiens

Publisher: Columbia University Press

ISBN: 9780231126816

Category: Science

Page: 582

View: 8346

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Landscape ecology focuses on spatial heterogeneity, or the idea that where things are and where they are in relation to other things can have important consequences for a wide range of phenomena. Landscape ecology integrates humans with natural ecosystems and brings a spatial perspective to such fields as natural resource management, conservation, and urban planning. The thirty-seven papers included in this volume present the origins and development of landscape ecology and encompass a variety of perspectives, approaches, and geographies. The editors begin with articles that illuminate the discipline's diverse scientific foundations, such as L. S. Berg's keystone paper outlining a geoecological analysis based on soil science, physical geography, and geology. Next they include selections exemplifying landscape ecologists' growing awareness of spatial pattern, the different ways they incorporated scale into their work, the progression of landscape ecology from a qualitative to a quantitative discipline, and how concepts from landscape ecology have come to permeate ecological research and influence land-use policy, conservation practices, landscape architecture, and geography. Together these articles provide a solid introduction to what is now widely recognized as an important area of research and application that encourages new ways of thinking about natural and human-dominated ecosystems

Camera Trapping for Wildlife Research

Author: Francesco Rovero,Fridolin Zimmermann

Publisher: Pelagic Publishing Ltd

ISBN: 1784270644

Category: Photography

Page: 320

View: 5936

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Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management. It provides a unique opportunity for collecting knowledge, investigating the presence of animals, or recording and studying behaviour. Its visual nature makes it easy to successfully convey findings to a wide audience.This book provides a much-needed guide to the sound use of camera trapping for the most common ecological applications to wildlife research. Each phase involved in the use of camera trapping is covered:- Selecting the right camera type - Set-up and field deployment of your camera trap - Defining the sampling design: presence/absence, species inventory, abundance; occupancy at species level; capture-mark-recapture for density estimation; behavioural studies; community-level analysis - Data storage, management and analysis for your research topic, with illustrative examples for using R and Excel - Using camera trapping for monitoring, conservation and public engagement.Each chapter in this edited volume is essential reading for students, scientists, ecologists, educators and professionals involved in wildlife research or management.Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management. It provides a unique opportunity for collecting knowledge, investigating the presence of animals, or recording and studying behaviour. Its visual nature makes it easy to successfully convey findings to a wide audience.This book provides a much-needed guide to the sound use of camera trapping for the most common ecological applications to wildlife research. Each phase involved in the use of camera trapping is covered:- Selecting the right camera type - Set-up and field deployment of your camera trap - Defining the sampling design: presence/absence, species inventory, abundance; occupancy at species level; capture-mark-recapture for density estimation; behavioural studies; community-level analysis - Data storage, management and analysis for your research topic, with illustrative examples for using R and Excel - Using camera trapping for monitoring, conservation and public engagement.Each chapter in this edited volume is essential reading for students, scientists, ecologists, educators and professionals involved in wildlife research or management.Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management. It provides a unique opportunity for collecting knowledge, investigating the presence of animals, or recording and studying behaviour. Its visual nature makes it easy to successfully convey findings to a wide audience.This book provides a much-needed guide to the sound use of camera trapping for the most common ecological applications to wildlife research. Each phase involved in the use of camera trapping is covered:- Selecting the right camera type - Set-up and field deployment of your camera trap - Defining the sampling design: presence/absence, species inventory, abundance; occupancy at species level; capture-mark-recapture for density estimation; behavioural studies; community-level analysis - Data storage, management and analysis for your research topic, with illustrative examples for using R and Excel - Using camera trapping for monitoring, conservation and public engagement.Each chapter in this edited volume is essential reading for students, scientists, ecologists, educators and professionals involved in wildlife research or management.Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management. It provides a unique opportunity for collecting knowledge, investigating the presence of animals, or recording and studying behaviour. Its visual nature makes it easy to successfully convey findings to a wide audience.This book provides a much-needed guide to the sound use of camera trapping for the most common ecological applications to wildlife research. Each phase involved in the use of camera trapping is covered:- Selecting the right camera type - Set-up and field deployment of your camera trap - Defining the sampling design: presence/absence, species inventory, abundance; occupancy at species level; capture-mark-recapture for density estimation; behavioural studies; community-level analysis - Data storage, management and analysis for your research topic, with illustrative examples for using R and Excel - Using camera trapping for monitoring, conservation and public engagement.Each chapter in this edited volume is essential reading for students, scientists, ecologists, educators and professionals involved in wildlife research or management.

Community Ecology

Analytical Methods Using R and Excel

Author: Mark Gardener

Publisher: Pelagic Publishing Ltd

ISBN: 1907807632

Category: Science

Page: 425

View: 3545

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Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R. Mark Gardener is both an ecologist and an analyst. He has worked in a range of ecosystems around the world and has been involved in research across a spectrum of community types. His knowledge of R is largely self-taught and this gives him insight into the needs of students learning to use R for complicated analyses.

Habitat Suitability and Distribution Models

with Applications in R

Author: Antoine Guisan,Wilfried Thuiller,Niklaus E. Zimmermann

Publisher: Cambridge University Press

ISBN: 0521765137

Category: Nature

Page: 498

View: 7701

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This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.

Spatial Data Analysis

An Introduction for GIS Users

Author: Christopher Lloyd

Publisher: Oxford University Press

ISBN: 0199554323

Category: Science

Page: 206

View: 9821

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Spatial Data Analysis introduces key principles about spatial data and provides guidance on methods for their exploration; it provides a set of key ideas or frameworks that will give the reader knowledge of the kinds of problems that can be tackled using the tools that are widely available for the analysis of spatial data.

Urban Ecology

Author: Kevin J. Gaston

Publisher: Cambridge University Press

ISBN: 1139536060

Category: Nature

Page: N.A

View: 6980

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This is the urban century in which, for the first time, the majority of people live in towns and cities. Understanding how people influence, and are influenced by, the 'green' component of these environments is therefore of enormous significance. Providing an overview of the essentials of urban ecology, the book begins by covering the vital background concepts of the urbanisation process and the effect that it can have on ecosystem functions and services. Later sections are devoted to examining how species respond to urbanisation, the many facets of human-ecology interactions, and the issues surrounding urban planning and the provision of urban green spaces. Drawing on examples from urban settlements around the world, it highlights the progress to date in this burgeoning field, as well as the challenges that lie ahead.

Circular Statistics in R

Author: Arthur Pewsey,Markus Neuhäuser,Graeme D Ruxton

Publisher: OUP Oxford

ISBN: 0191650765

Category: Mathematics

Page: 192

View: 6944

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Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system. This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data. The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its "circular" package. Also provided are over 150 new functions for techniques not already covered within R. This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible.

An Introduction to R for Spatial Analysis and Mapping

Author: Chris Brunsdon,Lex Comber

Publisher: SAGE

ISBN: 1473911192

Category: Social Science

Page: 360

View: 8145

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"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical 'how to' guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero’ in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive 'how to' that takes students - of any discipline - from coding to actual applications and uses of R.

Applied Spatial Data Analysis with R

Author: Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio

Publisher: Springer Science & Business Media

ISBN: 1461476186

Category: Medical

Page: 405

View: 2823

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Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

Spatial Database for GPS Wildlife Tracking Data

A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R

Author: Ferdinando Urbano,Francesca Cagnacci

Publisher: Springer Science & Business Media

ISBN: 3319037439

Category: Science

Page: 257

View: 8434

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This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while preventing error propagation and optimizing analysis performance. Based on the open source PostgreSQL/PostGIS spatial database, the software platform will allow researchers and managers to integrate and harmonize GPS tracking data together with animal characteristics, environmental data sets, including remote sensing image time series, and other bio-logged data, such as acceleration data. Moreover, the book shows how the powerful R statistical environment can be integrated into the software platform, either connecting the database with R, or embedding the same tools in the database through the PostgreSQL extension Pl/R. The client/server architecture allows users to remotely connect a number of software applications that can be used as a database front end, including GIS software and WebGIS. Each chapter offers a real-world data management and processing problem that is discussed in its biological context; solutions are proposed and exemplified through ad hoc SQL code, progressively exploring the potential of spatial database functions applied to the respective wildlife tracking case. Finally, wildlife tracking management issues are discussed in the increasingly widespread framework of collaborative science and data sharing. GPS animal telemetry data from a real study, freely available online, are used to demonstrate the proposed examples. This book is also suitable for undergraduate and graduate students, if accompanied by the basics of databases.

Remote Sensing for Biodiversity and Wildlife Management: Synthesis and Applications

Author: Steven Franklin

Publisher: McGraw Hill Professional

ISBN: 0071626271

Category: Technology & Engineering

Page: 368

View: 2062

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The Latest Advances in Remote Sensing for Biodiversity This state-of-the-art volume provides fundamental information on and practical applications of remote sensing technologies in wildlife management, habitat studies, and biodiversity assessment and monitoring. The book reviews image analysis, interpretation techniques, and key geospatial tools, including field-based, aerial, and satellite remote sensing, GIS, GPS, and spatial modeling. Remote Sensing for Biodiversity and Wildlife Management emphasizes transdisciplinary collaboration, technological innovations, and new applications in this emerging field. Landmark case studies and illustrative examples of best practices in biodiversity and wildlife management remote sensing at multiple scales are featured in this pioneering work. COVERAGE INCLUDES: Management information requirements Geospatial data collection and processing Thermal, passive and active microwave, and passive and active optical sensing Integrated remote sensing, GIS, GPS, and spatial models Remote sensing of ecosystem process and structure Proven methods for acquiring, interpreting, and analyzing remotely sensed data Habitat suitability and quality analysis Mapping anthropogenic disturbances and modeling species distribution Biodiversity indicators, including species richness mapping and productivity modeling Habitat quality and dynamics Indicators and processes Invasive alien species Species prediction models Food and resources Biodiversity monitoring Fragmentation and spatial heterogeneity

Measuring Biological Diversity

Author: Anne E. Magurran

Publisher: John Wiley & Sons

ISBN: 1118687922

Category: Science

Page: 264

View: 8452

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This accessible and timely book provides a comprehensive overview of how to measure biodiversity. The book highlights new developments, including innovative approaches to measuring taxonomic distinctness and estimating species richness, and evaluates these alongside traditional methods such as species abundance distributions, and diversity and evenness statistics. Helps the reader quantify and interpret patterns of ecological diversity, focusing on the measurement and estimation of species richness and abundance. Explores the concept of ecological diversity, bringing new perspectives to a field beset by contradictory views and advice. Discussion spans issues such as the meaning of community in the context of ecological diversity, scales of diversity and distribution of diversity among taxa Highlights advances in measurement paying particular attention to new techniques such as species richness estimation, application of measures of diversity to conservation and environmental management and addressing sampling issues Includes worked examples of key methods in helping people to understand the techniques and use available computer packages more effectively

Applying Landscape Ecology in Biological Conservation

Author: Kevin Gutzwiller

Publisher: Springer Science & Business Media

ISBN: 9780387953229

Category: Nature

Page: 518

View: 7991

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Landscape ecology and conservation biology are rapidly developing disciplines, and a current synthesis of principles and applications in these two fields is needed under one cover. Many managers are not applying principles of landscape ecology in efforts to conserve biota, yet the loss of biological diversity could be reduced if broad-scale processes and patterns were consistently considered in management and conservation decisions. Bringing together insights from leaders in landscape ecology and conservation biology, this book explains how our knowledge about landscape ecology can help us understand, manage and maintain biodiversity. Beyond explaining pertinent concepts of landscape ecology and biological conservation and describing examples of their use in management, research and planning, this book also distills principles for applying landscape ecology in conservation, identifies gaps in current knowledge and provides research approaches to fill those voids. The book is divided into five parts: the first part introduces the book and discusses what landscape ecology is and why it is important to biological conservation. The second deals with multiple scales, connectivity and organism movement. The third part discusses landscape change and how this affects biodiversity, and the fourth part covers conservation planning. The final part presents a synthesis that identifies overarching principles, pervasive constraints and realistic prospects for applying landscape ecology in biological conservation. Conservationists, land-use planners, and ecologists will find this book to be an essential resource. Foreword by Richard T.T. Forman.

Applied Urban Ecology

A Global Framework

Author: Matthias Richter,Ulrike Weiland

Publisher: John Wiley & Sons

ISBN: 1444345001

Category: Science

Page: 300

View: 5418

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Applied Urban Ecology: A Global Framework explores ways in which the environmental quality of urban areas can be improved starting with existing environmental conditions and their dynamics. Written by an internationally renowned selection of scientists and practitioners, the book covers a broad range of established and novel approaches to applied urban ecology. Approaches chosen for the book are placed in the context of issues such as climate change, green- and open-space development, flood-risk assessment, threats to urban biodiversity, and increasing environmental pollution (especially in the “megacities” of newly industrialized countries). All topics covered were chosen because they are socially and socio-politically relevant today. Further topics covered include sustainable energy and budget management, urban water resource management, urban land management, and urban landscape planning and design. Throughout the book, concepts and methods are illustrated using case studies from around the world. A closing synopsis draws conclusions on how the findings of urban ecological research can be used in strategic urban management in the future. Applied Urban Ecology: A Global Framework is an advanced textbook for students, researchers and experienced practitioners in urban ecology and urban environmental research, planning, and practice.