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Ethics, Machine Learning, and Python in Geospatial Analysis
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
Geospatial Application Development Using Python Programming
Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledge gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data.
Advanced Applications of Python Data Structures and Algorithms
Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision. Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Uranium Deposits of the World
This volume gathers and presents a massive collection of data on the location, quality and accessibility of uranium resources in nearly every region of the globe. This exhaustive, up-to-date reference is designed for practical use and arranged by four geographic regions: Asia, USA and Latin America, Europe, and Australia-Oceania and Africa.
Geospatial Technologies in Urban System Development: Emerging Research and Opportunities
Technological advancements have changed the way we think of traditional urban and spatial planning. The inclusion of conventional elements with modern technologies is allowing this field to advance at a rapid pace. Geospatial Technologies in Urban System Development: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the different tools and techniques ranging from mathematical sciences to spatial sciences which can be effective in unveiling the complexity of an urban system. Featuring extensive coverage on relevant areas such as urban traffic, remote sensing, and geographic information systems, this publication is an ideal resource for academics, researchers, graduate-level students, professionals, and policymakers in urban economy, regional planning, and information science disciplines.
Interdisciplinary Approaches to Spatial Optimization Issues
"This book examines interdisciplinary approaches to GIS and spatial optimization in private and public organizations"--
Ethics, Machine Learning, and Python in Geospatial Analysis
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book's meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
Reclaiming Development Studies Hb
The mission, relevance and intellectual orientation of development studies is increasingly challenged from various fronts such as decoloniality, 'global development' and randomized control trials. The essays featured in this collection together argue for the need of the field to reclaim its critical political economy tradition. Building on the contributions of Ashwani Saith, the contributions touch upon many of the central questions of development studies centred around structural change, labour and inequality.
Ethiopian Review
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Multilingual Literacy
This book investigates multilingual literacy practices, explores the technology applied in different educational frameworks, the centrality of multilingual literacy in non-formal, informal and formal educational contexts, as well as its presence in everyday life. Thematically clustered in four parts, the chapters present an overview of theory related to multilingual literacy, address the methodological challenges of research in the area, describe and evaluate projects set up to foster multilingual literacy in a variety of educational contexts, analyze the literacy practices of multilinguals and their contribution to language and literacy acquisition. This volume aims to initiate a change in paradigms, shifting from structured and conservative problematizations to inclusive and diverse conceptualizations and practices. To that end, the book showcases explorations of different methodologies and needs in formal and non-formal educational systems; and it serves as a springboard for developing multivocal participatory spaces with opportunities for learning and identity-building for all multilinguals, across different settings, languages, ages and contexts.
