Leaflet.js Essentials


Book Description

If you are a web developer working with geospatial concepts and mapping APIs, and you want to learn Leaflet to create mapping solutions, this book is for you. You need to have a basic knowledge of working with JavaScript and performing web application development.




Mapbox Cookbook


Book Description

Over 35 recipes to design and implement uniquely styled maps using the Mapbox platform About This Book Design and develop beautifully styled maps using TileMill, MapBox Studio, and CartoCSS Get to grips with the mapbox.js and Leaflet to create visually stunning web and mobile applications An easy-to-follow, quick reference guide to integrate powerful APIs and services like Foursquare, Fusion Tables, Geoserver, and CartoDB to populate your maps Who This Book Is For If you are a web developer seeking for GIS expertise on how to create, style, and publish interactive and unique styled maps, then this book is for you. Basic knowledge of programming and javascripts is assumed. What You Will Learn Get accustomed to the MapBox Editor to visually style your maps Learn everything about CartoCSS, and how it will help you fine tune your styled maps Use MapBox Studio and Tilemill to generate your own tiles and vector maps Publish your maps using a variety of technologies like node.js, PHP, and Geoserver Integrate with third party APIs and services to populate your maps with public or private data Create many different map visualization styles like choropleth and heat maps, add interactivity, and even learn how to animate data over time Work with many different data formats and external services to create robust maps Learn to use MapBox GL to create a mobile application In Detail Maps are an essential element in today's location aware applications. Right from displaying earth surface information to creating thematic maps displaying plethora of information, most of the developers lack the necessary knowledge to create customizable maps with combination of various tools and libraries. The MapBox platform is one such platform which offers all the tools and API required to create and publish a totally customizable map. Starting with building your first map with the online MapBox Editor, we will take you all the way to building advanced web and mobile applications with totally customizable map styles. Through the course of chapters we'll learn CartoCSS styling language and understand the various components of MapBox platform and their corresponding JavaScript API. In the initial few chapters we will dive deeper into the TileMill and MapBox Studio components of MapBox and use them to generate custom styled map tiles and vector maps. Furthermore, we will publish these custom maps using PHP, node.js and third party tools like Geoserver. We'll also learn to create different visualizations and map styles like a choropleth map, a heat map and add user interactivity using a UFTGrid. Moving on, we dive into advanced concepts and focus on integration with third party services like Foursquare, Google FusionTables, CartoDB, and Torque to help you populate and even animate your maps. In the final chapter we'll learn to use the Mapbox SDK to create and publish interactive maps for the iOS platform. By the end of this book, you will learn about MapBox GL and how to create a fully functional, location-aware mobile app, using the maps styles created in the recipes. Style and approach An easy-to-use recipe driven book that will not just serve code samples, but also explains all the theory and concepts required to fully understand each recipe.




Introduction to Web Mapping


Book Description

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy distribution to end users, and highly customized interactive content. Introduction to Web Mapping teaches you how to develop online interactive web maps and web mapping applications, using standard web technologies: HTML, CSS and JavaScript. The core technologies are introduced in Chapters 1-5, focusing on the specific aspects which are most relevant to web mapping. Chapters 6-13 then implement the material and demonstrate key concepts for building and publishing interactive web maps.




Data Engineering with Python


Book Description

Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.




Leaflet Cookbook


Book Description

Cook up dynamic web maps using the recipes in the Leaflet Cookbook. Leaflet Cookbook will guide you in getting started with Leaflet, the leading open-source JavaScript library for creating interactive maps. You'll move swiftly along from the basics to creating interesting and dynamic web maps. Even if you aren't an HTML/CSS wizard, this book will get you up to speed in creating dynamic and sophisticated web maps. With sample code and complete examples, you'll find it easy to create your own maps in no time. A download package containing all the code and data used in the book is available so you can follow along as well as use the code as a starting point for your own web maps.




Data Visualization


Book Description

This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: Focusses on concepts and ways of thinking about data rather than algebra or computer code. Features 17 short chapters that can be read in one sitting. Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. Contains more than 125 visualizations, most created by the author. Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods. Cover image: Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Copyright © Jill Pelto (jillpelto.com).




Modern JavaScript for the Impatient


Book Description

Exploit the Power of Modern JavaScript and Avoid the Pitfalls JavaScript was originally designed for small-scale programming in web browsers, but modern JavaScript is radically different. Nowadays, JavaScript programmers actively embrace functional, object-oriented, and asynchronous programming, while deprecating error-prone concepts from the past. Modern JavaScript for the Impatient is a complete yet concise guide to JavaScript E6 and beyond. Rather than first requiring you to learn and transition from older versions, it helps you quickly get productive with today’s far more powerful versions and rapidly move from languages such as Java, C#, C, or C++. Bestselling programming author Cay S. Horstmann covers all you need to know, provided in small chunks organized for quick access and easy understanding. Horstmann’s practical insights and sample code help you take advantage of all that’s new, avoid common pitfalls and obsolete features, and make the most of modern JavaScript’s robust toolchains and frameworks. Quickly master modern JavaScript’s implementation of fundamental programming constructs Avoid legacy techniques that create unnecessary complexity and risk Make the most of functional, object-oriented, and asynchronous techniques Use modules to efficiently organize and run complex programs Write more powerful, flexible, and concise programs with metaprogramming Extend JavaScript’s power via JavaScript libraries, frameworks, and platforms Whether you’re just getting started with JavaScript or you’re an experienced developer, this guide will help you write tomorrow’s most robust, efficient, and secure JavaScript code. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.




Ethics, Machine Learning, and Python in Geospatial Analysis


Book Description

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.




UAV or Drones for Remote Sensing Applications


Book Description

This book is a printed edition of the Special Issue "UAV or Drones for Remote Sensing Applications" that was published in Sensors




Joint Venture Strategies


Book Description

Although they have the potential to create synergies, joint ventures by their nature contain inherent risk. Therefore, each partner in a joint venture needs to incentivize each other in order to maximize its own payoff. Extensive pre-contractual and post-contractual bargaining is essential. This book provides successful bargaining strategies from the point of view of each partner company. Using a game theoretical framework to analyze joint venture strategy, it describes practical and legal issues that arise when creating synergies and incentive bargaining in a joint venture. With a particular focus on intellectual property law, including analysis based on many real cases, the book covers issues relating to creating synergies, corporate law issues of conflicts of interest, and antitrust law issues relating to cooperation between independent companies. Theoretically new and practically useful, Joint Venture Strategies will appeal to academics and practicing lawyers. From a corporate perspective, this book is essential for successful joint venture planning and strategy.