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Designing Better Maps: A Guide for GIS Users, second edition, breaks down the myriad decisions involved in creating maps that communicate effectively. The second edition includes updated material and a new chapter on map publishing. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age ... Found inside – Page iWhat You’ll Learn Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune ... This book will give you all the tools and information you need to get started with pgRouting, as well as complete code examples and even how to deploy your project to the web. Found insideAbout This Book Explore and create intelligent systems using cutting-edge deep learning techniques Implement deep learning algorithms and work with revolutionary libraries in Python Get real-world examples and easy-to-follow tutorials on ... The book provides an excellent description of the AIS system and messaging.ShipPlotter visually displays the position and identification of each ship either as radar view or on a chart created from a graphic image file, a satellite image ... Summarizes the state-of-the-art in this area. It classifies the existing work by considering six aspects of big spatial data systems: approach, architecture, language, indexing, querying, and visualization. Found insideThe book combines theory with real-world experience to offer guidance on the process of managing GIS implementation. Through key components, this book introduces a new way to think about GIS technology. If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. This book is a useful reference for geocoding in ESRI ArcGIS Desktop products ArcInfo, ArcEditor, and ArcView. Found insideAuthor Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. Enhances Python skills by working with data structures and algorithms and gives examples of complex systems using exercises, case studies, and simple explanations. Found insideThis series of chapters evaluates successes setbacks and enduring challenges during the decade. They show what needs to be done when progress stalls or new threats emerge. This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Describes how to implement a successful geographic information system. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. Found insideAll Blood Runs Red is the inspiring untold story of an American hero, a thought-provoking chronicle of the twentieth century and a portrait of a man who came from nothing and by his own courage, determination, gumption, intelligence and ... With step-by-step instructions for creating the most modern print map designs seen in any instructional materials to-date, this book covers everything from basic styling and labeling to advanced techniques like illuminated contours and ... Found insideDiscover over 100 easy-to-follow recipes to help you implement efficient game physics and collision detection in your games About This Book Get a comprehensive coverage of techniques to create high performance collision detection in games ... This text uses a unified approach based on a single economics model that provides students with a clear understanding of macroeconomics and its classical and Keynesian assumptions. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The book has some 300 pages and includes 200 illustrations and diagrams. The latest edition covers the functions of Multilateration, Beamfinder and Conditional Expressions. It is where the core work of GIS occurs. This book gives you an overview of the ArcGIS Desktop system and shows you how to access the basic functions of the software. Written by well-known CLS educator Mary Louise Turgeon, this text includes perforated pages so you can easily detach procedure sheets and use them as a reference in the lab! In this fourth edition of Understanding GIS -- the only book teaching how to conceive, develop, finish, and present a GIS project -- all exercises have been updated to use Esri's ArcGIS Pro software with revamped data. This collection of case studies describes how instructors have used GIS within the traditions of a classical undergraduate education to help students analyze, manage, and visualize information in order to create a realistic learning ... This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics. Found insideIf you have Python experience, this book shows you how to take advantage of the creative freedom Flask provides. This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This volume also covers the special-purpose interfaces and architectures required to interact with and share spatial information, and explains the importance of uncertainty and time. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful. The goal is to get you designing and building applications. And by the conclusion of this book, you will be a confident practitioner and a Kafka evangelist within your organisation - wielding the knowledge necessary to teach others. Found insideThis book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. This guide introduces the science of crime mapping to police officers, crime analysts, & other people interested in visualizing crime data through the medium of maps. The guide is made up of examples with the words draped around them. If you know how to program with Python, and know a little about probability, you’re ready to tackle Bayesian statistics. This book shows you how to use Python code instead of math to help you learn Bayesian fundamentals. Found insideThis book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, ... Found inside – Page iThis book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross ... 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