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An Introduction to Spatial Data Analysis
This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers 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. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling an...
Remote Sensing and GIS for Ecologists
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 ...
QGIS for Ecologists
This book teaches the basic stages of mapping for ecological projects. It uses QGIS, an open source system, as this is the most accessible platform to produce maps for reports. The book guides the beginner mapmaker through production of maps for the day-to-day projects of ecologists working in consultancy. If you don’t know where to start or how to use QGIS, this is the practical guide for you. There is no jargon, just everything you require to create the desired maps and to extract from them all the information that you’ll need for reporting. You will learn how to create several different sorts of maps frequently employed in ecological reports: - basic survey map - aerial imagery survey...
Ernst Haeckel
Discover Ernst Haeckel, the 19th-century artist-biologist who found beauty in even the most unlikely of creatures. This collection features 450 prints from his most important publications, including the majestic Kunstformen der Natur and his extensive catalogues of marine life. As biodiversity is ever-more threatened, these exquisite images are...
Animal Movement
The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of mo...
Spatial Data Analysis
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.
A Geoinformatics Approach to Water Erosion
Degradation of agricultural catchments due to water erosion is a major environmental threat at the global scale, with long-lasting destructive consequences valued at tens of billions of dollars per annum. Eroded soils lead to reduced crop yields and deprived agroecosystem’s functioning through, for example, decreased water holding capacity, poor aeration, scarce microbial activity, and loose soil structure. This can result in reduced carbon sequestration, limited nutrient cycling, contamination of water bodies due to eutrophication, low protection from floods and poor attention restoration—consequences that go far beyond the commonly modelled soil loss and deposition budgets. This book d...
How Maps Work
Now available in paperback for the first time, this classic work presents a cognitive-semiotic framework for understanding how maps work as powerful, abstract, and synthetic spatial representations. Explored are the ways in which the many representational choices inherent in mapping interact with information processing and knowledge construction, and how the resulting insights can be used to make informed symbolization and design decisions. A new preface to the paperback edition situates the book within the context of contemporary technologies. As the nature of maps continues to evolve, Alan MacEachren emphasizes the ongoing need to think systematically about the ways people interact with and use spatial information.
Animal Movement Across Scales
This study takes a broad and timely approach to animal movement across both temporal and spatial scales. Movement and migration on land, in the air, and in water are pervading features of animal life-from the smallest protozoans to the largest whales - and can extend from millimetres to global scale. Research into animal movement ecology is now entering a new era with the development of novel molecular, electronic, and technical methods that make it possible to analyse the movements of individual animals under complex environmental conditions that determine the evolution of movement habits.
Statistics for Ecologists Using R and Excel
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 t...
