This is the first supplementary workbook produced to accompany 'An Introduction To Using GIS In Marine Biology' by the same author. It is designed to augment the information on using GIS in marine biology provided in that book, and indeed, to be used alongside it rather than to be used independently as a stand-alone volume.
This second edition has been updated for ArcGIS 10.1 software and it contains five exercises covering the practical use of GIS in marine biology. These exercises are based around mapping species distribution and range from making a simple map of the locations where a species has been recorded to creating grids of species presence-absence, species richness and abundance.
Working through these five exercises will help the novice GIS user obtain experience in working with GIS and so develop their GIS skills. Unlike most other GIS tutorials, this information is specifically presented in a marine biological context and all the exercises use real data from a marine biological study. Therefore, these exercises are more likely to provide the kind of experience in using GIS that marine biologists will find useful and applicable to their own research.
These exercises are presented in the same easy-to-follow flow diagram-based format first introduced in the 'How To...' section of 'An Introduction To Using GIS In Marine Biology'. They are accompanied by images which show the user how their GIS project should look as they progress through the exercises, allowing them to compare their own work to the expected results.
This is part of the PSLS series of books which use Task-Oriented Learning (TOL) to teach the practical application of research skills to the life sciences. This involves demonstrating how these skills can be used in the specific circumstances in which they are likely to be required rather than concentrating on teaching theoretical frameworks or on teaching skills in a generic or abstract manner. By seeing how the similar processes are used to achieve a variety of different goals within a specific field, it becomes easier for the reader to identify the general rules behind the practical application of these processes and, therefore, to transfer them to novel situations they may encounter in the future.
Table Of Contents:
Preface
1. Introduction
2. How To Use The ArcGIS 10.2 Software User Interface.
3. Exercise One: Creating A Map Of Species Distribution For A Publication.
4. Exercise Two: Creating A Presence-Absence Raster Data Layer For A Species From Survey Data.
5. Exercise Three: Creating A Species Richness Raster Data Layer From Survey Data.
6. Exercise Four: Creating A Polygon Grid Data Layer Of Abundance Per Unit Effort From Survey Data.
7. Exercise Five: Creating A Polygon Grid Data Layer Of Species Richness Per Unit Effort From Survey Data.

How do planetary scientists analyze and interpret data from laboratory, telescopic, and spacecraft observations of planetary surfaces? What elements, minerals, and volatiles are found on the surfaces of our Solar System's planets, moons, asteroids, and comets? This comprehensive volume answers these topical questions by providing an overview of the theory and techniques of remote compositional analysis of planetary surfaces. Bringing together eminent researchers in Solar System exploration, it describes state-of-the-art results from spectroscopic, mineralogical, and geochemical techniques used to analyze the surfaces of planets, moons, and small bodies. The book introduces the methodology and theoretical background of each technique, and presents the latest advances in space exploration, telescopic and laboratory instrumentation, and major new work in theoretical studies. This engaging volume provides a comprehensive reference on planetary surface composition and mineralogy for advanced students, researchers, and professional scientists.

Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a 3 in 1 structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner. The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience. The book is heavily based on the authors own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard Pan-sharpen imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.

Explore the beauty and awe of the heavens through the rich celestial prints and star atlases offered in this third edition book. The author traces the development of celestial cartography from ancient to modern times, describes the relationships between different star maps and atlases, and relates these notions to our changing ideas about humanity's place in the universe. Also covered in this book are more contemporary cosmological ideas, constellation representations, and cartographic advances. The text is enriched with 226 images (141 in color) from actual, antiquarian celestial books and atlases, each one with an explanation of unique astronomical and cartographic features. This never-before-available hardcover edition includes two new chapters on pictorial style maps and celestial images in art, as well over 50 new images. Additionally, the color plates are now incorporated directly into the text, providing readers with a vibrant, immersive look into the history of star maps.

An essential tool for crime analysts looking to enhance the quality and efficiency of their crime mapping using ArcGIS Pro. Modern Policing Using ArcGIS Pro is an easy-to-use hands-on guide for crime analysts of any skill level. Crime mapping and spatial analysis play a key role in a variety of day-to-day police functions, and with ArcGIS Pro, crime analysts can enhance the efficiency of their workflow and the quality of their crime-mapping products. Designed to be immediately useful and practical for all users, Modern Policing's scaffolded approach allows users to incrementally develop their skills. Real-world case studies from crime analysts and applied research projects demonstrate the spatial analysis techniques necessary to support evidence-based policing. The findings of these case studies are discussed via research and crime analysis highlights, with self-guided exercises that walk the user through the steps of performing the analysis. Key topics include: Geoprocessing and filtering data Identifying hot spots Using spatial statistics for predictive analysis Automating tasks Using ArcGIS Pro for problem analysis, crime analysts can create crime prevention strategies, measure program outputs to gauge program implementation, and conduct evaluations to determine whether crime control strategies are having the desired impact. Covering strategic analysis, predictive analysis, workflow automation and more, Modern Policing Using ArcGIS Pro is essential for crime analysts looking to bring value to their agencies' operations through crime and data analysis.

With the emergence of smart technology and automated systems in today's world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.

This book offers a comprehensive overview of progress in the general area of fluvial remote sensing with a specific focus on its potential contribution to river management. The book highlights a range of challenging issues by considering a range of spatial and temporal scales with perspectives from a variety of disciplines. The book starts with an overview of the technical progress leading to new management applications for a range of field contexts and spatial scales. Topics include colour imagery, multi-spectral and hyper-spectral imagery, video, photogrammetry and LiDAR. The book then discusses management applications such as targeted, network scale, planning, land-use change modelling at catchment scales, characterisation of channel reaches (riparian vegetation, geomorphic features) in both spatial and temporal dimensions, fish habitat assessment, flow measurement, monitoring river restoration and maintenance and, the appraisal of human perceptions of riverscapes.

Key Features: - A specific focus on management applications in a period of increasing demands on managers to characterize river features and their evolution at different spatial scales - An integration across all scales of imagery with a clear discussion of both ground based and airborne images- Includes a wide-range of environmental problems - Coverage of cutting-edge technology - Contributions from leading researchers in the field

Authored by engineers for engineers, this book is designed to be a practical and easy-to-understand solution sourcebook for real-world high-resolution and spot-light SAR image processing. Widely-used algorithms are presented for both system errors and propagation phenomena as well as numerous formerly-classified image examples. As well as providing the details of digital processor implementation, the text presents the polar format algorithm and two modern algorithms for spot-light image formation processing - the range migration algorithm and the chirp scaling algorithm. Bearing practical needs in mind, the authors have included an entire chapter devoted to SAR system performance including image quality metrics and image quality assessment. Another chapter contains image formation processor design examples for two operational fine-resolution SAR systems. This is a reference for radar engineers, managers, system developers, and for students in high-resolution microwave imaging courses. It includes 662 equations, 265 figures, and 55 tables.

Do more with your GIS and understand the foundation of spatial analysis: geographic patterns and relationships. A geographic information system (GIS) enables so much more than mapping. A GIS inherently enables spatial analysis that can give you a better understanding of your geographic data. GIS analysis reveals answers to questions like: Where is it? Where's the most and least? How much is where? What's inside? What's nearby? What's changed But how do you get started? The second edition of The Esri Guide to GIS Analysis, Volume 1 shows how and more. With easier to read maps and text, The Esri Guide to GIS Analysis, Volume 1, second edition, dives beneath the surface of mapping, beyond displaying data to using it to reveal geographic insights. Learn the basic concepts of spatial analysis and GIS. Build on that understanding with essential map-building skills to unveil and display patterns and relationships. The Esri Guide to GIS Analysis, Volume 1, second edition, also includes a guide to online lessons that reinforce the concepts and demonstrate GIS application. Written for both new and experienced GIS users using an easy to follow format, the second edition of The Esri Guide to GIS Analysis, Volume 1 helps you build a foundation of the basic tasks needed to handle a wide range of analysis applications and prepares you for more advanced GIS skills.

This book constitutes the first single-volume, English-language treatise on electromagnetic wave propagation across the frequency spectrum.

The only reference on the use of GIS and related technologies in terrain analysis

In this landmark publication, reflecting the collaborative effort of thirteen research groups based in four countries, leading experts detail how GIS and related technologies, such as GPS and remote sensing, are now being used, with the aid of computer modeling, in terrain analysis. Continuing the innovative work of Professor Ian Moore, a visionary who saw terrain analysis as a robust method for modeling the large areas and complex spatial patterns of environmental systems, Terrain Analysis puts into action TAPES, or Terrain Analysis Programs for Environmental Sciences, Dr. Moore’s innovative tool for terrain analysis. The book’s contributors describe how TAPES are applied to specific geomorphologic problems, explain the algorithms used in current terrain analysis software, and examine the interpretation and use of terrain attributes in predictive models.

With expert coverage of terrain analysis in the digital age, Terrain Analysis will be welcomed by ecologists, environmental engineers, geographers, and hydrologists who increasingly depend on GIS, GPS, and remote sensing.

Remote Sensing plays a key role in monitoring the various manifestations of global climate change. It is used routinely in the assessment and mapping of biodiversity over large areas, in the monitoring of changes to the physical environment, in assessing threats to various components of natural systems, and in the identification of priority areas for conservation.

This book presents the fundamentals of remote sensing technology, but rather than containing lengthy explanations of sensor specifications and operation, it concentrates instead on the application of the technology to key environmental systems. Each system forms the basis of a separate chapter, and each is illustrated by real world case studies and examples.

Readership

The book is intended for advanced undergraduate and graduate students in earth science, environmental science, or physical geography taking a course in environmental remote sensing. It will also be an invaluable reference for environmental scientists and managers who require an overview of the use of remote sensing in monitoring and mapping environmental change at regional and global scales.

Additional resources for this book can be found at: http: //www.wiley.com/go/purkis/remote.

At the convergence of the land and sea, coastal environments are some of the most dynamic and populated places on Earth. This book explains how the many varied forms of spatial analysis, including mapping, monitoring and modelling, can be applied to a range of coastal environments such as estuaries, mangroves, seagrass beds and coral reefs. Presenting empirical geographical approaches to modelling, which draw on recent developments in remote sensing technology, geographical information science and spatial statistics, it provides the analytical tools to map, monitor and explain or predict coastal features. With detailed case studies and accompanying online practical exercises, it is an ideal resource for undergraduate courses in spatial science. Taking a broad view of spatial analysis and covering basic and advanced analytical areas such as spatial data and geostatistics, it is also a useful reference for ecologists, geomorphologists, geographers and modellers interested in understanding coastal environments.

Extraterrestrial Remote Sensing and Climate Change Thought provoking treatise that aims to answer questions about Earth's environment based on research done through remote sensing techniques In Extraterrestrial Remote Sensing and Climate Change, the author addresses longstanding questions about a possible correlation between fluctuations in solar activity and changes in the Earth's atmosphere and geosphere that have been observed during periods of extraterrestrial changes such as solar eclipses or solar storms. The author goes on to suggest possible mechanisms for anomalies seen in climate change and other environmental effects through a deep examination of interdisciplinary research. Core topics covered in the work include: Data from ground-based detectors and from the Solar and Heliospheric Observatory (SOHO) satellite, which monitor solar activity Key variables associated with sunspot eruption, such as electron flux, proton flux, X-ray flux, and planetary indices Observable changes in other planets and their moons, as well as in cosmic radiation from beyond the sun Extraterrestrial effects on the Earth's magnetic field and on seismic activity With its fresh and multidisciplinary approach, Extraterrestrial Remote Sensing and Climate Change is a thought-provoking treatise for students, researchers, and professionals in the fields of environmental science and climate science.

This volume addresses the physical foundation of remote sensing. The basic grounds are presented in close association with the kinds of environmental targets to monitor and with the observing techniques. The book aims at plugging the quite large gap between the thorough and quantitative description of electromagnetic waves interacting with the Earth's environment and the user applications of Earth observation. It is intended for scientifically literate students and professionals who plan to gain a first understanding of remote sensing data and of their information content.

Andean dry forest ecosystems are threatened by deforestation and unsustainable land use methods. The negative effects for the livelihood of the local population, biodiversity, and the regional climate could be countered by reforestation measures; however, dry land forests have not attracted the same level of interest and investment like other ecosystems. This book describes the development of a priority-zone map for reforestation measures, showing where reforestation might have the greatest social and ecological benefits. To achieve this, a problem analysis of a case study region is conducted and thematic reforestation benefits are determined. Using remote sensing and GIS, the areas where benefits can be obtained are mapped in individual layers and compiled into a summarizing priority-zone map. It is thus possible to identify areas where reforestation would achieve multiple benefits. The concept of priority maps could be used to facilitate reforestation strategies by local communities and municipal governments and could thus contribute to initiate an integrated forest and landscape restoration of the Bolivian montane dry forests.

This volume presents a timely collection of research papers on the progress, opportunities, and challenges related to the advancement of geospatial technologies for applications in urban health research and management. The chapter authors cover technologies ranging from traditional GIS and remote sensing technologies, to recently developed tracking/locational technologies and volunteered geographic information (VGI). In four main sections, the book uniquely contributes to the conversation of how geospatial technologies and other GIScience research may be enhanced by addressing the data and challenges presented by urban health issues. The book is intended for those with backgrounds in health and medical geography, social epidemiology, urban planning, health management, and lifestyle research. The book starts with an introduction by the editors, providing an overview of traditional and emerging geospatial technologies and how they each can significantly contribute to urban health studies. Section 1 covers urban health risk and disease, and analyses the spatial and temporal patterns of selected urban health issues. Section 2 addresses urban health service access, and demonstrates how traditional and new geospatial technologies apply to different segments of urban populations facing varied challenges. Section 3 focuses on incorporating geospatial technologies in promoting healthy behaviours and lifestyles in urban settings. Section 4 assesses how geospatial technologies may be incorporated into urban health policies and management practices. Adopting a forward-looking perspective, these papers examine the various health challenges in urban systems, and explore how new and emerging geospatial technologies will need to develop to address these problems.

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 and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as "What is the distance to the border of the protected area?", "Which points are located close to a road?", "Which fraction of land cover types exist in my study area?" using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts

Introduction to Satellite Remote Sensing: Atmosphere, Ocean and Land Applications is the first reference book to cover ocean applications, atmospheric applications, and land applications of remote sensing. Applications of remote sensing data are finding increasing application in fields as diverse as wildlife ecology and coastal recreation management. The technology engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. The book opens with an introduction to the history of remote sensing, starting from when the phrase was first coined. It goes on to discuss the basic concepts of the various systems, including atmospheric and ocean, then closes with a detailed section on land applications. Due to the cross disciplinary nature of the authors' experience and the content covered, this is a must have reference book for all practitioners and students requiring an introduction to the field of remote sensing.

From foraging patterns in a single tree to social interactions across a home range, how primates use space is a key question in the field of primate behavioral ecology. Drawing on the latest advances in spatial analysis tools, this book offers practical guidance on applying geographic information systems (GIS) to central questions in primatology. An initial methodological section discusses niche modelling, home range analysis and agent-based modelling, with a focus on remote data collection. Research-based chapters demonstrate how ecologists apply this technology to a suite of topics including: calculating the intensity of use of both range and travel routes, assessing the impacts of logging, mining and hunting, and informing conservation strategies.

Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the time to revisit health preparedness strategies and plans. And now is the time to review what the health community did that worked-and how we can do that again. Learning from COVID-19: GIS for Pandemics tells real-life stories about how spatial thinking became invaluable in both local and full-scale outbreaks during the COVID-19 pandemic. Needing to answer the question of "where" sat at the forefront of everyone's mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights. Co-edited by Esri chief medical officer Dr. Este Geraghty, this book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis. GIS has empowered: Organizations to use human mobility data to estimate the adherence to social distancing guidelines Communities to monitor their health care systems' capacity through spatially enabled surge tools Governments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populations Communities to use maps and spatial analysis to review case trends at local levels to support reopening of economies Organizations to think spatially as they consider "back-to-the-workplace" plans that account for physical distancing and employee safety needs Learning from COVID-19 also includes a "next steps" section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen scientist or a health professional. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book. Now is the time to use science and data to make informed decisions for our future, and this book shows us how we can do it.

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships is based on the premise that relationships between variables measured at different locations might not be constant over space. The prevailing assumption is that such relationships are constant, an assumption that would appear to be the result of convenience rather than of any serious examination of the issues. If relationships do vary significantly over space, then serious questions are raised about the reliability of traditional, global-level analyses.

Geographically Weighted Regression, as part of a broader research area in local modelling, provides a new analytical tool and a different perspective on spatial analysis. Instead of being restricted to simple global analyses in which interesting local variations in relationships are 'averaged away' and unobservable, GWR allows local relationships to be measured and mapped. In many ways the output from GWR is similar to that presented by a microscope: previously unimagined detail suddenly comes into focus. This book challenges many of the global statements of spatial relationships that have been made in the academic literature.

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships contains a broad discussion of local models in general and of the details of GWR, and provides many empirical examples on issues such as house price determinants, educational attainment levels and school performance statistics. A unique accompanying feature of this book is the author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end. This software is readily available from the authors and notes on using the software and an example application are documented in the book itself.

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships is an essential resource for quantitative spatial analysts and GIS researchers and students. It will be of interest to researchers in any discipline in which spatial data are used across the broad spectrum of social sciences, medicine, science and engineering. The underlying message is that locality is important and measuring local relationships is vital to understanding spatial processes.

'Stewart Fotheringham and his colleagues have produced a book that will be widely used by geographers and others interested in spatial analysis. Geographically weighted regression is an important method, and the authors have developed and explained it well.' Peter Rogerson, Department of Geography, University at Buffalo, USA

'The realisation that almost any statistic can be made 'local', and that mapping the results almost always leads to greater insight is powering a revolution in spatial analysis. In particular, the localisation of standard regression models, or GWR, has led to important and powerful insights. This book, written by the team that has done most to develop it, makes this approach accessible for the first time under a single cover. It should be required reading for anyone involved with the analysis of spatially referenced data.' David Unwin, School of Geography, Birkbeck College London

Remote Sensing of Geomorphology, Volume 23, discusses the new range of remote-sensing techniques (lidar, structure from motion photogrammetry, advanced satellite platforms) that has led to a dramatic increase in terrain information, and as such provided new opportunities for a better understanding of surface morphology and related Earth surface processes. As several papers have been published (including paper reviews and special issues) on this topic, this book summarizes the major advances in remote sensing techniques for the analysis of Earth surface morphology and processes, also highlighting future challenges. Useful for MSc and PhD students, this book is also ideal for any scientists that want to have a single volume guideline to help them develop new ideas. In addition, technicians and private and public sectors working on remote sensing will find the information useful to their initiatives.