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Learning Geospatial Analysis with Python
Harness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysis Key Features Create GIS solutions using the new features introduced in Python 3.10 Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJ Identify the tools and resources that best align with your specific needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark...
Geospatial Data Analytics on AWS
Build an end-to-end geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook. Key Features Explore the architecture and different use cases to build and manage geospatial data lakes in AWS Discover how to leverage AWS purpose-built databases to store and analyze geospatial data Learn how to recognize which anti-patterns to avoid when managing geospatial data in the cloud Book DescriptionManaging geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept...
Modeling Uncertainty in the Earth Sciences
Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems. The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.
Hands-On Geospatial Analysis with R and QGIS
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 easi...
Tales from the Liminal
In this collection of curious but delightful short stories by S. K. Kruse, you never know who you're going to meet or where you're going to end up. You can be certain, however, that whether you follow Schrodinger's cat into the zeroth dimension or have drinks with a woman who's seen Gertrude Stein in the condensation on her window, you'll find yourself smack dab in the middle of some befuddling predicament of existence. Using humor and horror, satire and allegory, fabulism and realism, Tales from the Liminal takes you for an extraordinary ride, submerging you in spaces where anything is possible, especially transformation.
Infinite Suburbia
Infinite Suburbia is the culmination of the MIT Norman B. Leventhal Center for Advanced Urbanism's yearlong study of the future of suburban development. Extensive research, an exhibition, and a conference at MIT's Media Lab, this groundbreaking collection presents fifty-two essays by seventy-four authors from twenty different fields, including, but not limited to, design, architecture, landscape, planning, history, demographics, social justice, familial trends, policy, energy, mobility, health, environment, economics, and applied and future technologies. This exhaustive compilation is richly illustrated with a wealth of photography, aerial drone shots, drawings, plans, diagrams, charts, maps, and archival materials, making it the definitive statement on suburbia at the beginning of the twenty-first century.
ArcGIS 9
This book introduces you to geodatabase concepts and shows you how to use the ESRI ArcGIS Desktop productsArcInfo, ArcEditor, and ArcView to implement geographic database designs. Whether you are importing existing data or building a new geodatabase from scratch, this book makes it easy to identify and complete your task.Begin with the quick-start tutorial to learn how to create and edit a geodatabase, or if you prefer, jump right in and experiment on your own. The book also includes concise, step-by-step, fully illustrated examples.
Land Use Competition
This book contributes to broadening the interdisciplinary knowledge basis for the description, analysis and assessment of land use practices. It presents conceptual advances grounded in empirical case studies on four main themes: distal drivers, competing demands on different scales, changing food regimes and land-water competition. Competition over land ownership and use is one of the key contexts in which the effects of global change on social-ecological systems unfold. As such, understanding these rapidly changing dynamics is one of the most pressing challenges of global change research in the 21st century. This book contributes to a deeper understanding of the manifold interactions between land systems, the economics of resource production, distribution and use, as well as the logics of local livelihoods and cultural contexts. It addresses a broad readership in the geosciences, land and environmental sciences, offering them an essential reference guide to land use competition.
Data Science and Analytics
Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.
