Spatial Analysis Gis And Remote Sensing
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Spatial Analysis Gis And Remote Sensing
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Author : Donald P. Albert
language : en
Publisher: CRC Press
Release Date : 2000-09-01
Spatial Analysis Gis And Remote Sensing written by Donald P. Albert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-01 with Technology & Engineering categories.
This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography.
Progress In Geospatial Analysis
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Author : Yuji Murayama
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-06
Progress In Geospatial Analysis written by Yuji Murayama and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-06 with Science categories.
This book examines current trends and developments in the methods and applications of geospatial analysis and highlights future development prospects. It provides a comprehensive discussion of remote sensing- and geographical information system (GIS)-based data processing techniques, current practices, theories, models, and applications of geospatial analysis. Data acquisition and processing techniques such as remote sensing image selections, classifications, accuracy assessments, models of GIS data, and spatial modeling processes are the focus of the first part of the book. In the second part, theories and methods related to fuzzy sets, spatial weights and prominence, geographically weighted regression, weight of evidence, Markov-cellular automata, artificial neural network, agent-based simulation, multi-criteria evaluation, analytic hierarchy process, and a GIS network model are included. Part three presents selected best practices in geospatial analysis. The chapters, all by expert authors, are arranged so that readers who are new to the field will gain an overview and important insights. Those readers who are already practitioners will gain from the advanced and updated materials and state-of-the-art developments in geospatial analysis.
An Introduction To Spatial Data Analysis
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Author : Martin Wegmann
language : en
Publisher: Pelagic Publishing Ltd
Release Date : 2020-09-14
An Introduction To Spatial Data Analysis written by Martin Wegmann and has been published by Pelagic Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-14 with Science categories.
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
Applying Remote Sensing And Gis For Spatial Analysis And Decision Making
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Author : Batchi, Mouhcine
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Applying Remote Sensing And Gis For Spatial Analysis And Decision Making written by Batchi, Mouhcine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Technology & Engineering categories.
Remote sensing and Geographic Information Systems (GIS) have become indispensable tools for understanding our planet's complex systems and addressing a wide range of environmental, social, and economic challenges. With several environmental and social factors coming to a head, it is important that our society utilizes every tool at its disposal in order to identify these issues and make comprehensive action plans in order to avoid negative social and environmental consequences. Applying Remote Sensing and GIS for Spatial Analysis and Decision-Making offers a comprehensive exploration of the applications of remote sensing, Geographic Information Systems (GIS), and emerging technologies in spatial analysis and decision-making across various domains. The book explores fundamental principles, methodologies, and advanced techniques pertinent to remote sensing and GIS, while also discussing the integration of emerging technologies such as unmanned aerial vehicles (UAVs), hyperspectral imaging, LiDAR, machine learning, and artificial intelligence (AI). Covering topics such as climate change modeling, land resources, and spatial data analysis, this book is an excellent resource for researchers and academicians, urban planners, practitioners, professionals, policy makers, postgraduate students and educators, and more.
Geospatial Analysis And Modelling Of Urban Structure And Dynamics
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Author : Bin Jiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-16
Geospatial Analysis And Modelling Of Urban Structure And Dynamics written by Bin Jiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-16 with Science categories.
A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.
Remote Sensing And Geographical Information Systems In Epidemiology
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Author : S.I. Hay
language : en
Publisher: Elsevier
Release Date : 2000-08-29
Remote Sensing And Geographical Information Systems In Epidemiology written by S.I. Hay and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-29 with Medical categories.
Global problems require global information, which satellites can now provide. With ever more sophisticated control methods being developed for infectious diseases, our ability to map spatial and temporal variation in risk is more important than ever. Only then may we plan control campaigns and deliver novel interventions and remedies where the need is greatest, and sustainable success is most likely. This book presents a comprehensive guide to using the very latest methods of surveillance from satellites, including analysing spatial data within geographical information systems, interpreting complex biological patterns, and predicting risk both today and as it may change in the future. Of all infectious disease systems, those that involve free-living invertebrate vectors or intermediate hosts are most susceptible to changing environmental conditions, and have hitherto received most attention from the marriage of analytical biology with this new space technology. Accordingly, this volume presents detailed case studies on malaria, African trypanosomiasis (sleeping sickness), tick-borne infections and helminths (worms). For those who are unfamiliar with this science, and unsure how to start, the book ends with a chapter of practical advice on where to seek hands-on instruction. The lessons to be learned from these studies are applicable to many other epidemiological and ecological problems that face us today, most significantly the preservation of the world's biodiversity. Only book to provide a synthesis of complex biology, quantitative analysis, space technology and practical applications, focused on solving real epidemiological problems on a global scale Broad scope, with methods relevant to subjects ranging from biodiversity to public health Practical advice on relevant courses 24 pages of colour plates
Hands On Geospatial Analysis With R And Qgis
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Author : Shammunul Islam
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-30
Hands On Geospatial Analysis With R And Qgis written by Shammunul Islam and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.
Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language Key FeaturesUnderstand the basics of R and QGIS to work with GIS and remote sensing dataLearn to manage, manipulate, and analyze spatial data using R and QGISApply machine learning algorithms to geospatial data using R and QGISBook Description Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier. This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding. Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms. By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time. What you will learnInstall R and QGISGet familiar with the basics of R programming and QGISVisualize quantitative and qualitative data to create mapsFind out the basics of raster data and how to use them in R and QGISPerform geoprocessing tasks and automate them using the graphical modeler of QGISApply different machine learning algorithms on satellite data for landslide susceptibility mapping and predictionWho this book is for This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.
Spatial Analysis And Modeling In Geographical Transformation Process
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Author : Yuji Murayama
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-26
Spatial Analysis And Modeling In Geographical Transformation Process written by Yuji Murayama and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-26 with Science categories.
Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatialproblems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!
Geospatial Analysis Of Environmental Health
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Author : Juliana A. Maantay
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-18
Geospatial Analysis Of Environmental Health written by Juliana A. Maantay and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-18 with Medical categories.
This book focuses on a range of geospatial applications for environmental health research, including environmental justice issues, environmental health disparities, air and water contamination, and infectious diseases. Environmental health research is at an exciting point in its use of geotechnologies, and many researchers are working on innovative approaches. This book is a timely scholarly contribution in updating the key concepts and applications of using GIS and other geospatial methods for environmental health research. Each chapter contains original research which utilizes a geotechnical tool (Geographic Information Systems (GIS), remote sensing, GPS, etc.) to address an environmental health problem. The book is divided into three sections organized around the following themes: issues in GIS and environmental health research; using GIS to assess environmental health impacts; and geospatial methods for environmental health. Representing diverse case studies and geospatial methods, the book is likely to be of interest to researchers, practitioners and students across the geographic and environmental health sciences. The authors are leading researchers and practitioners in the field of GIS and environmental health.
Geospatial Technologies In Coastal Ecologies Monitoring And Management
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Author : Kousik Das Malakar
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Geospatial Technologies In Coastal Ecologies Monitoring And Management written by Kousik Das Malakar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.
This book contributes to the advancement of scientific knowledge by demonstrating how geospatial technologies can support more effective coastal planning and management. These technologies, such as remote sensing, GIS, and GNSS, play a vital role in monitoring coastal ecosystems and offer powerful tools for data collection, analysis, visualization, and decision-making. They enhance the understanding of coastal needs and enable more informed and sustainable management strategies. Intended for scientists, professionals, researchers, planners, students, and the general public, the book promotes a deeper understanding of how geospatial tools address contemporary coastal challenges. It also emphasizes inclusive decision-making and supports the development of strategies for sustainable socio-ecological coastal systems. The book is structured into six parts. Part One introduces the fundamentals of remote sensing, including sensor networks, satellite systems, aerial imaging, photogrammetry, and air photo interpretation. Part Two covers key GIS concepts, data analysis, database management, digital image processing, and participatory GIS. Part Three explores GNSS and GPS techniques. Part Four discusses the application of geospatial tools in coastal ecological monitoring and management. Part Five presents real-world case studies and field narratives that explore a range of topics, including climatic trend analysis, shoreline dynamics modelling, mangrove canopy health, coastal land use and land cover changes, land surface temperature variations, ecological transformations, mangrove-human conflicts, climate adaptation strategies, the management of climate gaps, spatial considerations in coastal zone management, and the role of climate communication in shaping coastal narratives. And finally, Part Six examines the evolving nature of coastal research, highlighting the role of GIScience in transdisciplinary approaches and strategic decision-making.