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.

With the increasing proliferation of data and the systematization of geographic information referencing, maps are now a major concern – not only for specialists, but also for urban planning and development organizations and the general public. However, while producing a map may seem straightforward, the actual process of transforming data into a useful map with a specific purpose is characterized by a series of precise operations that require knowledge in a variety of fields: statistics, geography, cartography and so on. Handling and Mapping Geographic Information presents a wide range of operations based on a variety of examples. Each chapter adopts a different approach, explaining the methodological choices made in relation to the theme and the pursued objective. This approach, encompassing the entire map production process, will enable all readers, whether students, researchers, teachers or planners, to understand the multiple roles that maps can play in the analysis of geographical data.

This revised new edition provides up-to-date knowledge on the latest developments related to these three fields for solving geoinformatics problems. There are seven new chapters, and each of them focuses on a separate real-world problem to which deep learning is applied.

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.

Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research tools, and applications in different fields.

"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.

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.

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.

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.

Meeting the demands of the rapid growth of wireless Internet subscribers and the development of the world location-based services (LBS) market, this volume introduces and comprehensively discusses various location based applications such as buddy finder and proximity and security services. The material is organized in three major sections: applications, technologies, and security. Written by experts from across the globe, the articles in each of the sections range from basic concepts to research grade material and include discussions of future directions. An extensive bibliography is included with each chapter.

"Expert GeoServer" guides readers through the process of building, optimizing, and securing GeoServer-powered web mapping applications. By exploring concepts like spatial analysis platforms, tile caching, and secure authentication, this book equips you to create highly performant and secure geospatial applications. What this Book will help me do Learn to develop spatial analysis platforms using web processing services. Master tile caching to significantly enhance the speed of your mapping applications. Implement secure authentication to protect sensitive geospatial data. Optimize GeoServer for improved performance and resource utilization. Deploy your GeoServer-backed applications on modern cloud-hosting infrastructures. Author(s) None Mearns is an experienced software developer and geospatial technology expert. With a strong background in GeoServer implementation, None has helped organizations optimize and secure their geospatial platforms. Their writing aims to provide clear and actionable instructions for professionals and learners alike. Who is it for? This book is perfect for geospatial developers and professionals aiming to take their GeoServer skills to the next level. A basic understanding of GeoServer is assumed, as this guide tackles advanced topics like performance optimization and security. If you are looking to enhance the speed, usability, and security of your mapping applications, this is for you. Those aiming to confidently deploy production-ready applications will find it invaluable.

PostGIS Cookbook provides a thorough introduction to working with spatial data in the PostgreSQL environment using PostGIS. The book covers topics such as importing and exporting geographic data, analyzing vector and raster data, database optimization, and building GIS web applications. By the end, you'll be equipped to fully leverage PostGIS for spatial data projects. What this Book will help me do Efficiently import and export geographic data between PostGIS and other platforms. Apply PostGIS functions for advanced vector data analysis and visualization. Manipulate and optimize spatial data for better performance and robustness. Integrate PostGIS with Python for spatial data scripting. Develop GIS web applications leveraging PostGIS and Open Geospatial standards. Author(s) The authors of PostGIS Cookbook are experienced professionals and active contributors to the spatial database community. Vincent Mather, Pedro Wightman, Thomas Kraft, and their co-authors bring extensive software engineering and geo-computing expertise to the text. Their hands-on approach ensures practicality and relevance to current technologies. Who is it for? This book is ideal for developers and GIS professionals who want to enhance their spatial data handling skills using PostGIS. Whether you're a beginner to spatial databases or looking to extend your PostgreSQL knowledge, this book offers practical solutions and advanced techniques for spatial data management and analysis.