Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in Python The book includes colored images of important concepts Key Features Learn how to integrate spatial data and spatial thinking into traditional data science workflows Develop a spatial perspective and learn to avoid common pitfalls along the way Gain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expanded Book DescriptionData scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you’ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You’ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you’ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you’ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you’ll be able to tackle random data, find meaningful correlations, and make geospatial data models.What you will learn Understand the fundamentals needed to work with geospatial data Transition from tabular to geo-enabled data in your workflows Develop an introductory portfolio of spatial data science work using Python Gain hands-on skills with case studies relevant to different industries Discover best practices focusing on geospatial data to bring a positive change in your environment Explore solving use cases, such as traveling salesperson and vehicle routing problems Who this book is for This book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You’ll need to have a foundational knowledge of Python for data analysis and/or data science.
Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in Python The book includes colored images of important concepts Key Features Learn how to integrate spatial data and spatial thinking into traditional data science workflows Develop a spatial perspective and learn to avoid common pitfalls along the way Gain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expanded Book DescriptionData scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you’ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You’ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you’ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you’ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you’ll be able to tackle random data, find meaningful correlations, and make geospatial data models.What you will learn Understand the fundamentals needed to work with geospatial data Transition from tabular to geo-enabled data in your workflows Develop an introductory portfolio of spatial data science work using Python Gain hands-on skills with case studies relevant to different industries Discover best practices focusing on geospatial data to bring a positive change in your environment Explore solving use cases, such as traveling salesperson and vehicle routing problems Who this book is for This book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You’ll need to have a foundational knowledge of Python for data analysis and/or data science.
A comprehensive overview of clinically important infections of the urinary tract Urinary tract infections (UTIs) continue to rank among the most common infectious diseases of humans, despite remarkable progress in the ability to detect and treat them. Recurrent UTIs are a continuing problem and represent a clear threat as antibiotic-resistant organisms and infection-prone populations grow. Urinary Tract Infections: Molecular Pathogenesis and Clinical Management brings the scientific community up to date on the research related to these infections that has occurred in the nearly two decades since the first edition. The editors have assembled a team of leading experts to cover critical topics in these main areas: clinical aspects of urinary tract infections, including anatomy, diagnosis, and management, featuring chapters on the vaginal microbiome as well as asymptomatic bacteriuria, prostatitis, and urosepsis the origins and virulence mechanisms of the bacteria responsible for most UTIs, including uropathogenic Escherichia coli, Proteus mirabilis, and Klebsiella pneumoniae the host immune response to UTIs, the rise of antibiotic-resistant strains, and the future of therapeutics This essential reference serves as both a resource and a stimulus for future research endeavors for anyone with an interest in understanding these important infections, from the classroom to the laboratory and the clinic.
In this book a retired U.S. Army colonel and military historian takes a fresh look at Dwight D. Eisenhower’s lasting military legacy, in light of his evolving approach to the concept of unified command. Examining Eisenhower’s career from his West Point years to the passage of the 1958 Defense Reorganization Act, David Jablonsky explores Eisenhower’s efforts to implement a unified command in the U.S. military—a concept that eventually led to the current organization of the Joint Chiefs of Staff and that, almost three decades after Eisenhower’s presidency, played a major role in defense reorganization under the Goldwater-Nichols Act. In the new century, Eisenhower’s approach continues to animate reform discussion at the highest level of government in terms of the interagency process.
Raptors of the World is the definitive handbook to this most popular group of birds. This new field guide uses all of the illustration plates from Raptors of the World, with a concise, revised text on facing pages, to create a conveniently-sized, lightweight field reference covering all 340 raptor species. Several of the plates have been reworked and repainted for this guide. The book also has an updated colour distribution map for each species. Much of the extensive introductory material has been retained in this guide, with the addition of a complete species list containing all subspecies and brief details of their ranges. Armed with this guide, birders will be able to identify with confidence any raptor encountered anywhere in the world.
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