A jargon-free primer on GIS concepts and the essential tech tools Geographic Information Systems (GIS) is the fascinating technology field that's all about understanding and visualizing our world. GIS For Dummies introduces you to the essential skills you'll need if you want to become a geospatial data guru. You'll learn to read, analyze, and interpret maps, and you'll discover how GIS professionals create digital models of landscapes, cities, weather patterns, and beyond. Understand how advances in technology, including AI, are turning GIS tools into powerful assets for solving real-world problems and protecting the planet. This beginner-friendly book makes it easy to grasp necessary GIS concepts so you can apply GIS in your organization, pursue a career in this dynamic field, or just impress others with your geographic knowledge. Learn the basics of data analysis, interpretation, and modeling using Geographic Information Systems Gain the skills to read and interpret all types of maps and visual GIS information Discover how GIS is used in fields like urban planning, environmental science, business, and disaster management Explore whether a career in GIS could be right for you GIS For Dummies is the perfect starting point for students, professionals, and anyone curious about the potential of GIS as a technology or career choice.

ArcGIS Pro 3.x Cookbook teaches you to master the powerful tools available in Esri's ArcGIS Pro application for geospatial data management and analysis. You'll discover practical recipes that guide you through creating, editing, visualizing, and analyzing GIS data in 2D and 3D. Whether you are transitioning from ArcMap or starting fresh, this book will empower you to build impressive geospatial projects. What this Book will help me do Navigate and make effective use of the ArcGIS Pro user interface and tools. Create, edit, and publish detailed 2D and 3D geospatial maps. Manage data efficiently using geodatabases, relationships, and topology tools. Perform comprehensive spatial analyses including proximity, clustering, and 3D analysis. Apply geospatial data validation techniques to ensure data consistency and integrity. Author(s) Tripp Corbin, GISP, is an experienced Geographic Information Systems Professional with extensive expertise in Esri's GIS ecosystem. Tripp has taught numerous colleagues about ArcGIS Pro and its capabilities, bringing clarity and focus to complex GIS concepts. His engaging teaching style and comprehensive technical knowledge make this book both helpful and approachable for readers. Who is it for? This book is designed for GIS professionals, geospatial analysts, and technicians looking to expand their skills with ArcGIS Pro. It's well-suited for architects and specialists who want to visualize, analyze, and create GIS projects effectively. Beginner GIS users will find clear guidance without needing prior experience, and experienced ArcMap users will learn how to transition smoothly to ArcGIS Pro.

This book presents how Building Information Modeling (BIM) and the use of shared representation of built assets facilitate design, construction and operation processes (ISO 19650). The modeling of public works data disrupts the art of construction. Written by both academics and engineers who are heavily involved in the French research project Modélisation des INformations INteropérables pour les INfrastructues Durables (MINnD) as well as in international standardization projects, this book presents the challenges of BIM from theoretical and practical perspectives. It provides knowledge for evolving in an ecosystem of federated models and common data environments, which are the basis of the platforms and data spaces. BIM makes it possible to handle interoperability very concretely, using open standards, which lead to openBIM. The use of a platform allows for the merging of business software and for approaches such as a Geographic Information System (GIS) to be added to the processes. In organizations, BIM meets the life cycles of structures and circular economy. It is not only a technique that reshapes cooperation and trades around a digital twin but can also disrupt organizations and business models.

"Geospatial Analysis with SQL" is a practical guide that teaches you how to use SQL for geospatial data analysis. With direct, actionable guidance, you will learn to explore and analyze data using geospatial techniques without needing additional programming. This book equips you with the knowledge to solve location-based queries and perform advanced geospatial operations. What this Book will help me do Master the fundamentals of geospatial analysis and learn the importance of location-based data. Develop skills in creating and manipulating spatial database objects in SQL. Gain proficiency in using tools such as PostGIS and QGIS for geospatial data analysis. Learn techniques to visualize spatial data effectively and communicate results. Perform both single-layer and multi-layer spatial analysis for complex real-world scenarios. Author(s) Bonny P. McClain, the author of "Geospatial Analysis with SQL", brings extensive experience as a spatial data analyst and GIS expert. Bonny specializes in helping practitioners make data-driven insights through geospatial techniques. With a passion for teaching, Bonny's goal is to make complex concepts accessible and practical for analysts and developers alike. Who is it for? This book is ideal for GIS analysts, data analysts, and data scientists who have a basic understanding of SQL and geospatial concepts and want to expand their analytical capabilities. Readers looking to perform professional-grade geospatial analysis using SQL will find this book especially valuable. It caters to professionals wishing to use their SQL skills to understand and work with spatial datasets effectively.

In "Geospatial Data Analytics on AWS," you will learn how to store, manage, and analyze geospatial data effectively using various AWS services. This book provides insight into building geospatial data lakes, leveraging AWS databases, and applying best practices to derive insights from spatial data in the cloud. What this Book will help me do Design and manage geospatial data lakes on AWS leveraging S3 and other storage solutions. Analyze geospatial data using AWS services such as Athena and Redshift. Utilize machine learning models for geospatial data processing and analytics using SageMaker. Visualize geospatial data through services like Amazon QuickSight and OpenStreetMap integration. Avoid common pitfalls when managing geospatial data in the cloud. Author(s) Scott Bateman, Janahan Gnanachandran, and Jeff DeMuth bring their extensive experience in cloud computing and geospatial analytics to this book. With backgrounds in cloud architecture, data science, and geospatial applications, they aim to make complex topics accessible. Their collaborative approach ensures readers can practically apply concepts to real-world challenges. Who is it for? This book is ideal for GIS and data professionals, including developers, analysts, and scientists. It suits readers with a basic understanding of geographical concepts but no prior AWS experience. If you're aiming to enhance your cloud-based geospatial data management and analytics skills, this is the guide for you.

"Applied Geospatial Data Science with Python" introduces readers to the power of integrating geospatial data into data science workflows. This book equips you with practical methods for processing, analyzing, and visualizing spatial data to solve real-world problems. Through hands-on examples and clear, actionable advice, you will master the art of spatial data analysis using Python. What this Book will help me do Learn to process, analyze, and visualize geospatial data using Python libraries. Develop a foundational understanding of GIS and geospatial data science principles. Gain skills in building geospatial AI and machine learning models for specific use cases. Apply geospatial data workflows to practical scenarios like optimization and clustering. Create a portfolio of geospatial data science projects relevant across different industries. Author(s) David S. Jordan is an experienced data scientist with years of expertise in GIS and geospatial analytics. With a passion for making complex topics accessible, David leverages his deep technical knowledge to provide practical, hands-on instruction. His approach emphasizes real-world applications and encourages learners to develop confidence as they work with geospatial data. Who is it for? This book is perfect for data scientists looking to integrate geospatial data analysis into their existing workflows, and GIS professionals seeking to expand into data science. If you already have a basic knowledge of Python for data analysis or data science and want to explore how to work effectively with geospatial data to drive impactful solutions, this is the book for you.

Python for ArcGIS Pro is your guide to automating geospatial tasks and maximizing your productivity using Python. Inside, you'll learn how to integrate Python scripting into ArcGIS workflows to streamline map production, data analysis, and data management. What this Book will help me do Automate map production and streamline repetitive cartography tasks. Conduct geospatial data analysis using Python libraries like pandas and NumPy. Integrate ArcPy and ArcGIS API for Python to manage geospatial data more effectively. Create script tools to improve repeatability and manage datasets. Publish and manage geospatial data to ArcGIS Online seamlessly. Author(s) None Toms and None Parker are both experienced GIS professionals and Python developers. With years of hands-on experience using Esri technology in real-world scenarios, they bring practical insights into the application's nuances. Their collaborative approach allows them to demystify technical concepts, making their teachings accessible to audiences of all skill levels. Who is it for? This book is for ArcGIS users looking to integrate Python into workflows, whether you're a GIS specialist, technician, or analyst. It's also suitable for those transitioning to roles requiring programming skills. A basic understanding of ArcGIS helps, but the book starts from the fundamentals.

Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others.* You’ll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from real-world datasets such as US Census demographics, New York City taxi rides, and earthquakes from US Geological Survey. Each chapter includes exercises and examples that teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You’ll learn how to: •Create databases and related tables using your own data •Aggregate, sort, and filter data to find patterns •Use functions for basic math and advanced statistical operations •Identify errors in data and clean them up •Analyze spatial data with a geographic information system (PostGIS) •Create advanced queries and automate tasks This updated second edition has been thoroughly revised to reflect the latest in SQL features, including additional advanced query techniques for wrangling data. This edition also has two new chapters: an expanded set of instructions on for setting up your system plus a chapter on using PostgreSQL with the popular JSON data interchange format. Learning SQL doesn’t have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases. * Microsoft SQL Server employs a variant of the language called T-SQL, which is not covered by Practical SQL.

In PostGIS in Action, Third Edition you will learn: An introduction to spatial databases Geometry, geography, raster, and topology spatial types, functions, and queries Applying PostGIS to real-world problems Extending PostGIS to web and desktop applications Querying data from external sources using PostgreSQL Foreign Data Wrappers Optimizing queries for maximum speed Simplifying geometries for greater efficiency PostGIS in Action, Third Edition teaches readers of all levels to write spatial queries for PostgreSQL. You’ll start by exploring vector-, raster-, and topology-based GIS before quickly progressing to analyzing, viewing, and mapping data. This fully updated third edition covers key changes in PostGIS 3.1 and PostgreSQL 13, including parallelization support, partitioned tables, and new JSON functions that help in creating web mapping applications. About the Technology PostGIS is a spatial database extender for PostgreSQL. It offers the features and firepower you need to take on nearly any geodata task. PostGIS lets you create location-aware queries with a few lines of SQL code, then build the backend for mapping, raster analysis, or routing application with minimal effort. About the Book PostGIS in Action, Third Edition shows you how to solve real-world geodata problems. You’ll go beyond basic mapping, and explore custom functions for your applications. Inside this fully updated edition, you’ll find coverage of new PostGIS features such as PostGIS Window functions, parallelization of queries, and outputting data for applications using JSON and Vector Tile functions. What's Inside Fully revised for PostGIS version 3.1 and PostgreSQL 13 Optimize queries for maximum speed Simplify geometries for greater efficiency Extend PostGIS to web and desktop applications About the Reader For readers familiar with relational databases and basic SQL. No prior geodata or GIS experience required. About the Authors Regina Obe and Leo Hsu are database consultants and authors. Regina is a member of the PostGIS core development team and the Project Steering Committee. Quotes The best introduction I’ve seen for engineers who want to get ramped up quickly and build advanced GIS applications. - Ikechukwu Okonkwo, Orum.io A wealth of information that showcases how powerful PostGIS is. - Luis Moux-Dominguez, EMO An extraordinary book for the world of GIS. Truly learned a lot! - DeUndre’ Rushon, DigiDiscover LLC Gives you insight into how best to provide map services for a wide audience. - Marcus Brown, Enel Green Power

Learning ArcGIS Pro 2 is your comprehensive guide to mastering the capabilities of ArcGIS Pro for geospatial analysis and cartography. You'll learn to create both 2D and 3D maps, edit and visualize geospatial data, and automate workflows using Python and ModelBuilder. This book provides the foundational skills you need to effectively work with GIS data and projects. What this Book will help me do Navigate the ArcGIS Pro interface to create, analyze, and share GIS projects efficiently. Visualize and interpret geographic data using 2D and 3D mapping techniques. Use Arcade language to customize labels and symbology for better map clarity. Automate GIS workflows through Python scripts and ModelBuilder for increased efficiency. Create and share professional-quality map layouts and series with ease. Author(s) Tripp Corbin, GISP, is a GIS Professional with extensive experience in geographic data analysis and ArcGIS software. As a seasoned instructor and author, Tripp aims to make GIS accessible by breaking down complex topics into manageable concepts. His hands-on teaching approach is reflected throughout this book, providing clear guidance and practical knowledge. Who is it for? This book is ideal for beginner GIS enthusiasts or professionals looking to transition to ArcGIS Pro. It is well-suited for those with minimal exposure to GIS or no prior experience with ArcGIS software. Whether you aim to explore geospatial concepts or acquire skills for professional applications, this book provides a solid foundation.

The modeling of cities and territories has progressed greatly in the last 20 years. This is firstly due to geographic information systems, followed by the availability of large amounts of georeferenced data – both on the Internet and through the use of connected objects. In addition, the rise in performance of computational methods for the simulation and exploration of dynamic models has facilitated advancement. Geographical Modeling presents previously unpublished information on the main advances achieved by these new approaches. Each of the six chapters builds a bibliographic review and precisely describes the methods used, highlighting their advantages and discussing their interpretations. They are all illustrated by many examples. The book also explains with clarity the theoretical foundations of geographical analysis, the delicate operations of model selection, and the applications of fractals and scaling laws. These applications include gaining knowledge of the morphology of cities and the organization of urban transport, and finding new methods of building and exploring simulation models and visualizations of data and results.

"Geospatial Data Science Quick Start Guide" provides a practical and effective introduction to leveraging geospatial data in data science. In this book, you will learn techniques for analyzing location-based data, building intelligent models, and performing geospatial operations for various applications. What this Book will help me do Understand the principles and techniques for analyzing geospatial data. Set up Python tools to work effectively with location intelligence. Perform advanced spatial operations such as geocoding and proximity analysis. Develop systems such as geofencing and location-based recommendation engines. Obtain actionable insights by visualizing and processing spatial data effectively. Author(s) Abdishakur Hassan and Jayakrishnan Vijayaraghavan are experts in geospatial analysis. With extensive experience in applying data science to location intelligence, they bring a practical and hands-on approach to coding, teaching, and problem-solving. They are passionate about sharing their knowledge through their clear explanations and structured learning paths. Who is it for? This book is ideal for data scientists interested in integrating geospatial analysis into their models and workflows. It is also suitable for GIS developers looking to enhance existing systems with advanced data analysis capabilities. Readers should have experience with Python and a basic understanding of data science concepts. If location-based data intrigues you, this book is your guide.

Dive into the world of data visualization with 'Learn D3.js'. This comprehensive guide introduces D3.js-the leading JavaScript library for creating interactive, data-driven visualizations on the web. By following practical examples, you'll understand core concepts of D3.js, learn to implement various types of visualizations, and develop skills to bring dynamic, responsive graphics to your projects. What this Book will help me do Master the fundamentals of D3.js and use it to produce stunning web-based data visualizations. Bind data to the DOM using D3.js and configure interactive transitions and animations. Gain experience generating a multitude of chart types such as bar, pie, scatter charts, and more. Incorporate user interactivity into your visualizations using D3.js effectively. Work with map-based data visualizations using GIS data and various geographical projections. Author(s) Helder da Rocha is an experienced developer and educator with a passion for data visualization. With a solid background in JavaScript and web technologies, he has crafted this book to make the complexities of D3.js accessible and engaging. His approach emphasizes practical, hands-on learning, nurturing both new and seasoned developers alike. Who is it for? Are you a web developer, designer, or data scientist aiming to create interactive data visualizations for the web? If you have foundational knowledge of HTML, CSS, and JavaScript, this book is your perfect guide. Whether you're dipping your toes into web-based charts or seeking to craft advanced interactive graphics, 'Learn D3.js' is tailored to empower your journey.

This book, "Mastering Geospatial Development with QGIS 3.x", is your comprehensive guide to becoming skilled in QGIS, an open-source GIS software. Covering functionalities of QGIS 3.4 and 3.6, you will advance your knowledge in spatial data analysis, styling, and spatial database management through practical examples and in-depth discussions. What this Book will help me do Understand the latest features and updates in QGIS 3.6. Master spatial data styling for impactful geographic visualizations. Learn to create and manage spatial databases and GeoPackages. Automate workflows using QGIS's graphical modeler and Python scripting. Develop custom QGIS plugins to extend its capabilities. Author(s) This book is written by a team of GIS experts with extensive experience in spatial data analysis and QGIS. Authors include professionals with GISP credentials who have taught GIS at various levels. With their deep understanding of QGIS and practical teaching approach, they aim to make premium GIS knowledge accessible to all. Who is it for? The book is ideal for GIS professionals seeking to enhance their QGIS expertise. Beginners looking to establish a firm foundation in GIS and QGIS will also benefit. Developers interested in extending QGIS capabilities using Python will find invaluable guidance here. Whether for career growth, project management, or academic purposes, this book suits users aspiring to excel in geospatial development.

QGIS Quick Start Guide is your hands-on introduction to QGIS 3.4, an open-source Geographic Information System (GIS) software. Through step-by-step instructions, you'll explore creating, loading, and styling geospatial data while developing the skills to generate professional-grade maps and analyses. What this Book will help me do Understand and navigate QGIS 3.4's interface and core functionality. Import and manage spatial datasets for analysis and visualization. Create custom-styled vector and raster layers for effective presentation. Design detailed and aesthetically pleasing maps for various uses. Extend QGIS with plugins and automate tasks using modeling tools. Author(s) The author, None Cutts, is a passionate GIS professional with years of experience working with geographic data and related software. With a strong focus on making GIS knowledge accessible, they provide practical advice and workflows in an easy-to-follow manner, helping readers achieve proficiency with a powerful tool like QGIS. Who is it for? This book is perfect for GIS beginners and intermediate-level users looking to develop hands-on skills with QGIS 3.4. If you're a student, geospatial analyst, or enthusiast aiming to master an accessible and robust GIS toolset, this guide aligns with your learning goals. Gain the confidence to analyze geographic data and create compelling maps as part of your studies or projects.

Dive into the intricate world of geospatial data with "Hands-On Geospatial Analysis with R and QGIS". This book guides readers through managing, analyzing, and visualizing spatial data using the popular tools R and QGIS. Packed with practical examples, it empowers you to effectively handle GIS and remote sensing data in your projects. What this Book will help me do Understand how to install and set up R and QGIS environments for geospatial tasks. Learn the fundamentals of spatial data processing, including management, visualization, and analysis. Create compelling geospatial visualizations using R packages like ggplot2 and tools in QGIS. Master raster data handling and leverage the QGIS graphical modeler for automating geoprocessing tasks. Apply machine learning techniques to geospatial problems such as landslide susceptibility mapping using real-world data. Author(s) None Hamson and None Islam are experts in the field of geospatial analysis and provide practical, actionable insights throughout this book. With extensive experience in GIS and remote sensing technologies, they focus on guiding readers from basic principles to advanced applications. Their collaborative teaching style ensures clarity and accessibility for learners at different skill levels. Who is it for? This book is ideal for geographers, environmental scientists, and other professionals working with spatial data. Beginner to intermediate-level readers will find it approachable, with step-by-step instructions to build their expertise. While prior familiarity with R or QGIS can be helpful, it is not required. The book is tailored for those eager to expand their skills in geospatial data analysis and visualization.

Unlock the world of geospatial analysis and mapping with 'Learn QGIS.' This comprehensive guide takes you through the capabilities of QGIS 3.4, covering everything from data loading and styling to spatial analysis and plugin development. Geared towards beginners and seasoned GIS users alike, you'll gain hands-on expertise to master QGIS effectively and confidently. What this Book will help me do Load, edit, and manage geospatial data efficiently in QGIS 3.4 for impactful analysis. Create professional-grade maps with custom styling and data visualization techniques. Delve into the QGIS 3.4 processing toolbox, enhancing analysis workflows. Build bespoke QGIS plugins using Python and QT Designer for tailored solutions. Use QGIS 3.4's advanced features like 3D views and GeoPackage efficiently. Author(s) None Cutts and Anita Graser bring their extensive technical expertise to 'Learn QGIS.' None Cutts has a background in geospatial technologies and a focus on practical GIS applications. Anita Graser is a recognized QGIS expert, experienced in both software development and geospatial analysis. Together, they share their knowledge in an accessible style, ensuring readers of different levels can benefit. Who is it for? This book is ideal for developers, consultants, or GIS enthusiasts who want to expand their skills in using QGIS 3.4 for geospatial data analysis and mapping. Beginners looking to understand core QGIS capabilities will also find value. If you're aiming to develop professional maps and customize QGIS, this is the resource for you.

Aimed at readers with a knowledge of geographic information systems (GIS) but no formal training in computer science, this book provides a clear and accessible introduction to how GIS store and process spatial data. This updated edition includes two new chapters on databases and heuristics, substantial additional material on indexing and raster imagery, and revisions throughout that incorporate up-to-date applications such as GPS on mobile devices and Internet-based services.

Deliver advanced functionality faster and cheaper by exploiting SQL Server's ever-growing amount of built-in support for modern data formats. Learn about the growing support within SQL Server for operations and data transformations that have previously required third-party software and all the associated licensing and development costs. Benefit through a better understanding of what can be done inside the database engine with no additional costs or development time invested in outside software. Widely used types such as JSON and XML are well-supported by the database engine. The same is true of hierarchical data and even temporal data. Knowledge of these advanced types is crucial to unleashing the full power that's available from your organization's SQL Server database investment. SQL Server Advanced Data Types explores each of the complex data types supplied within SQL Server. Common usage scenarios for eachcomplex data type are discussed, followed by a detailed discussion on how to work with each data type. Each chapter demystifies the complex data and you learn how to use the data types most efficiently. The book offers a practical guide to working with complex data, using real-world examples to demonstrate how each data type can be leveraged. Performance considerations are also discussed, including the implementation of special indexes such as XML indexes and spatial indexes. What You'll Learn Understand the implementation of basic data types and why using the correct type is so important Work with XML data through the XML data type Construct XML data from relational result sets Store and manipulate JSON data using the JSON data type Model and analyze spatial data for geographic information systems Define hierarchies and query them efficiently through the HierarchyID type Who This Book Is For SQL Server developers and application developers who need to store and access complex data structures

"Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools. You’ll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from the U.S. Census and other federal and state government agencies. With exercises and real-world examples in each chapter, this book will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You’ll learn how to: • Create databases and related tables using your own data• Define the right data types for your information• Aggregate, sort, and filter data to find patterns• Use basic math and advanced statistical functions• Identify errors in data and clean them up• Import and export data using delimited text files• Write queries for geographic information systems (GIS)• Create advanced queries and automate tasks Learning SQL doesn’t have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases. This book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL."