Gis And Machine Learning For Small Area Classifications In Developing Countries
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Gis And Machine Learning For Small Area Classifications In Developing Countries
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Author : Adegbola Ojo
language : en
Publisher: CRC Press
Release Date : 2020-12-29
Gis And Machine Learning For Small Area Classifications In Developing Countries written by Adegbola Ojo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Science categories.
Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.
Gis And Machine Learning For Small Area Classifications In Developing Countries
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Author : Adegbola Ojo
language : en
Publisher: CRC Press
Release Date : 2020-12-30
Gis And Machine Learning For Small Area Classifications In Developing Countries written by Adegbola Ojo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-30 with Science categories.
Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.
Social Revolutions And Governance Aspirations Of African Millennials
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Author : Adegbola Ojo
language : en
Publisher: Springer Nature
Release Date : 2021-11-06
Social Revolutions And Governance Aspirations Of African Millennials written by Adegbola Ojo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-06 with Political Science categories.
This book discusses the role of millennials in political leadership and governance in Africa going forward. Africa is in the process of significant change. The nature of this change, dimensions, and what change might bring will depend on young people who now represent three quarters of the population of the continent. This book contributes to ongoing discussions and provides a pathway and guide for a new generation of young African leaders to emerge and not to miss the opportunity for real transformative change. The book provides a thought-provoking analysis of the political and economic systems in Africa. In its analysis of development challenges and opportunities, it shows how millennials can be the catalyst for change in leadership and governance behavior. Consequently, the book argues how this can improve the fortunes of Africa's estimated 1.3 billion people. It is inspired by the factual circumstances of Africa’s significant history, a deep understanding of current power relations, and motivated by an ambitious vision of Africa’s role in the world. The book combines a deep explanation of concepts with a range of techniques and recent illustrative applications. It also embraces a multi-method approach that allows for the embedding of primary and secondary forms of data. A cross-fertilization of ontological arguments and analytical techniques from a range of allied disciplines further contribute to the book’s novelty. The book appeals to multiple stakeholders including students, researchers, practitioners, and policy-makers.
Machine Learning For Spatial Environmental Data
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Author : Mikhail Kanevski
language : en
Publisher: CRC Press
Release Date : 2009-06-09
Machine Learning For Spatial Environmental Data written by Mikhail Kanevski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-09 with Computers categories.
This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice.
Remote Sensing Image Classification In R
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Author : Courage Kamusoko
language : en
Publisher:
Release Date : 2019
Remote Sensing Image Classification In R written by Courage Kamusoko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computer programming categories.
This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing. Chapter 3 focuses on image transformation, and chapter 4 addresses image classification. Lastly, chapter 5 deals with improving image classification. R is advantageous in that it is open source software, available free of charge and includes several useful features that are not available in commercial software packages. This book benefits all undergraduate and graduate students, researchers, university teachers and other remote- sensing practitioners interested in the practical implementation of remote sensing in R.
Remote Sensing Intelligent Interpretation For Mine Geological Environment
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Author : Weitao Chen
language : en
Publisher: Springer
Release Date : 2022-09-17
Remote Sensing Intelligent Interpretation For Mine Geological Environment written by Weitao Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-17 with Computers categories.
This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection→scene classification→semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
Artificial Intelligence Methods Applied To Urban Remote Sensing And Gis
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Author : Chang-Wook Lee
language : en
Publisher: Mdpi AG
Release Date : 2021-11-11
Artificial Intelligence Methods Applied To Urban Remote Sensing And Gis written by Chang-Wook Lee and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-11 with Science categories.
This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.
Geographic Information Systems In Geospatial Intelligence
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Author : Rustam B. Rustamov
language : en
Publisher: BoD – Books on Demand
Release Date : 2020
Geographic Information Systems In Geospatial Intelligence written by Rustam B. Rustamov and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Digital mapping categories.
Earth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others.
Innovations In Urban And Regional Systems
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Author : Jean-Claude Thill
language : en
Publisher: Springer Nature
Release Date : 2020-05-11
Innovations In Urban And Regional Systems written by Jean-Claude Thill and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-11 with Business & Economics categories.
This book presents cutting‐edge research on urban and regional systems applying modern spatial analytical techniques of Geographic Information Science & Technologies (GIS&T), spatial statistics, and location modeling. The contributions, written by leading scholars from around the globe, adopt a spatially explicit analytical perspective and highlight methodological innovations and substantive breakthroughs on many facets of the socioeconomic and environmental reality of urban and regional contexts. The book is divided into three parts: The first part offers an introduction to the research field, while the second part discusses critical issues in urban growth and urban management, presenting case studies on city and urban environments, their growth, data infrastructures and spatial and management issues. The third part then broadens the analysis to the regional scale, addressing growth, convergence and adaptation to new economic and information‐based realities. This book appeals to scholars of spatial and regional sciences as well as to policy decision-makers interested in advanced methods of spatial analysis, location modeling, and GIS&T.
The Sage Handbook Of Remote Sensing
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Author : Timothy A Warner
language : en
Publisher: SAGE
Release Date : 2009-06-18
The Sage Handbook Of Remote Sensing written by Timothy A Warner and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-18 with Science categories.
′A magnificent achievement. A who′s who of contemporary remote sensing have produced an engaging, wide-ranging and scholarly review of the field in just one volume′ - Professor Paul Curran, Vice-Chancellor, Bournemouth University Remote Sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales Remote Sensing is a large and diverse field for which this Handbook will be the key research reference. Organized in four key sections: • Interactions of Electromagnetic Radiation with the Terrestrial Environment: chapters on Visible, Near-IR and Shortwave IR; Middle IR (3-5 micrometers); Thermal IR ; Microwave • Digital sensors and Image Characteristics: chapters on Sensor Technology; Coarse Spatial Resolution Optical Sensors ; Medium Spatial Resolution Optical Sensors; Fine Spatial Resolution Optical Sensors; Video Imaging and Multispectral Digital Photography; Hyperspectral Sensors; Radar and Passive Microwave Sensors; Lidar • Remote Sensing Analysis - Design and Implementation: chapters on Image Pre-Processing; Ground Data Collection; Integration with GIS; Quantitative Models in Remote Sensing; Validation and accuracy assessment; • Remote Sensing Analysis - Applications: LITHOSPHERIC SCIENCES: chapters on Topography; Geology; Soils; PLANT SCIENCES: Vegetation; Agriculture; HYDROSPHERIC and CRYSOPHERIC SCIENCES: Hydrosphere: Fresh and Ocean Water; Cryosphere; GLOBAL CHANGE AND HUMAN ENVIRONMENTS: Earth Systems; Human Environments & Links to the Social Sciences; Real Time Monitoring Systems and Disaster Management; Land Cover Change Illustrated throughout, an essential resource for the analysis of remotely sensed data, the SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.