Author: Kurt Menke Publisher: Locate Press ISBN: 9780998547763 Category : Languages : en Pages : 406
Book Description
Explore the latest Long Term Release (LTR) of QGIS with Discover QGIS 3.x, a comprehensive up-to-date workbook built for both the classroom and professionals looking to build their skills. Designed to take advantage of the latest QGIS features, this book will guide you in improving your maps and analysis. Discover QGIS 3.x is an update of the original title, using QGIS 3.6, covering Spatial analysis, Data management, and Cartography. What's new in this edition: Fifteen new exercises A new section, Advanced Data Visualization, covering: Blending modes Live layer effects Geometry generators Rendering Points Time Manager Native 3D Mesh data Appendices covering: Keyboard shortcuts Useful Plugins Getting involved The book is a complete resource and includes: Lab exercises Challenge exercises All data, discussion questions, and solutions
Author: Andrew Cutts Publisher: Packt Publishing Ltd ISBN: 1788998863 Category : Computers Languages : en Pages : 268
Book Description
Learn to view, edit and analyse geospatial data using QGIS and Python 3 Key FeaturesLeverage the power of QGIS to add professionalism to your mapsExplore and work with the newly released features like Python 3, GeoPackage, 3D views, Print layouts in QGIS 3.4Build your own plugins and customize maps using QT designerBook Description QGIS 3.4 is the first LTR (long term release) of QGIS version 3. This is a giant leap forward for the project with tons of new features and impactful changes. Learn QGIS is fully updated for QGIS 3.4, covering its processing engine update, Python 3 de-facto coding environment, and the GeoPackage format. This book will help you get started on your QGIS journey, guiding you to develop your own processing pathway. You will explore the user interface, loading your data, editing, and then creating data. QGIS often surprises new users with its mapping capabilities; you will discover how easily you can style and create your first map. But that’s not all! In the final part of the book, you’ll learn about spatial analysis and the powerful tools in QGIS, and conclude by looking at Python processing options. By the end of the book, you will have become proficient in geospatial analysis using QGIS and Python. What you will learnExplore various ways to load data into QGISUnderstand how to style data and present it in a mapCreate maps and explore ways to expand themGet acquainted with the new processing toolbox in QGIS 3.4Manipulate your geospatial data and gain quality insightsUnderstand how to customize QGIS 3.4Work with QGIS 3.4 in 3DWho this book is for If you are a developer or consultant familiar with the basic functions and processes of GIS and want to learn how to use QGIS to analyze geospatial data and create rich mapping applications, this book is for you. You’ll also find this book useful if you’re new to QGIS and wish to grasp its fundamentals
Author: Shammunul Islam Publisher: Packt Publishing Ltd ISBN: 1788996984 Category : Computers Languages : en Pages : 347
Book Description
Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language Key FeaturesUnderstand the basics of R and QGIS to work with GIS and remote sensing dataLearn to manage, manipulate, and analyze spatial data using R and QGISApply machine learning algorithms to geospatial data using R and QGISBook Description Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier. This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding. Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms. By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time. What you will learnInstall R and QGISGet familiar with the basics of R programming and QGISVisualize quantitative and qualitative data to create mapsFind out the basics of raster data and how to use them in R and QGISPerform geoprocessing tasks and automate them using the graphical modeler of QGISApply different machine learning algorithms on satellite data for landslide susceptibility mapping and predictionWho this book is for This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.
Author: Shammunul Islam Publisher: Packt Publishing Ltd ISBN: 1788994876 Category : Computers Languages : en Pages : 453
Book Description
Go beyond the basics and unleash the full power of QGIS 3.4 and 3.6 with practical, step-by-step examples Key FeaturesOne-stop solution to all of your GIS needs Master QGIS by learning about database integration, and geoprocessing toolsLearn about the new and updated Processing toolbox and perform spatial analysis Book Description QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work. What you will learnCreate and manage a spatial databaseGet to know advanced techniques to style GIS data Prepare both vector and raster data for processing Add heat maps, live layer effects, and labels to your maps Master LAStools and GRASS integration with the Processing Toolbox Edit and repair topological data errors Automate workflows with batch processing and the QGIS Graphical Modeler Integrate Python scripting into your data processing workflows Develop your own QGIS pluginsWho this book is for If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS.
Author: Anita Graser Publisher: ISBN: 9780998547749 Category : Computers Languages : en Pages : 210
Book Description
Learn how to use QGIS 3 to take your cartographic products to the highest level. QGIS 3.4 opens up exciting new possibilities for creating beautiful and compelling maps! Building on the first edition, the authors take you step-by-step through the process of using the latest map design tools and techniques in QGIS 3. With numerous new map designs and completely overhauled workflows, this second edition brings you up to speed with current cartographic technology and trends. See how QGIS continues to surpass the cartographic capabilities of other geoware available today with its data-driven overrides, flexible expression functions, multitudinous color tools, blend modes, and atlasing capabilities. A prior familiarity with basic QGIS capabilities is assumed. All example data and project files are included. Written by two of the leading experts in the realm of open source mapping, Anita and Gretchen are experienced authors who pour their wealth of knowledge into the book. Get ready to launch into the next generation of map design!
Author: Anita Graser Publisher: Packt Publishing Ltd ISBN: 1788295579 Category : Computers Languages : en Pages : 819
Book Description
Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user About This Book Learn how to work with various types of data and create beautiful maps using this easy-to-follow guide Give a touch of professionalism to your maps, both for functionality and look and feel, with the help of this practical guide This progressive, hands-on guide builds on a geo-spatial data and adds more reactive maps using geometry tools. Who This Book Is For If you are a user, developer, or consultant and want to know how to use QGIS to achieve the results you are used to from other types of GIS, then this learning path is for you. You are expected to be comfortable with core GIS concepts. This Learning Path will make you an expert with QGIS by showing you how to develop more complex, layered map applications. It will launch you to the next level of GIS users. What You Will Learn Create your first map by styling both vector and raster layers from different data sources Use parameters such as precipitation, relative humidity, and temperature to predict the vulnerability of fields and crops to mildew Re-project vector and raster data and see how to convert between different style formats Use a mix of web services to provide a collaborative data system Use raster analysis and a model automation tool to model the physical conditions for hydrological analysis Get the most out of the cartographic tools to in QGIS to reveal the advanced tips and tricks of cartography In Detail The first module Learning QGIS, Third edition covers the installation and configuration of QGIS. You'll become a master in data creation and editing, and creating great maps. By the end of this module, you'll be able to extend QGIS with Python, getting in-depth with developing custom tools for the Processing Toolbox. The second module QGIS Blueprints gives you an overview of the application types and the technical aspects along with few examples from the digital humanities. After estimating unknown values using interpolation methods and demonstrating visualization and analytical techniques, the module ends by creating an editable and data-rich map for the discovery of community information. The third module QGIS 2 Cookbook covers data input and output with special instructions for trickier formats. Later, we dive into exploring data, data management, and preprocessing steps to cut your data to just the important areas. At the end of this module, you will dive into the methods for analyzing routes and networks, and learn how to take QGIS beyond the out-of-the-box features with plug-ins, customization, and add-on tools. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Learning QGIS, Third Edition by Anita Graser QGIS Blueprints by Ben Mearns QGIS 2 Cookbook by Alex Mandel, Victor Olaya Ferrero, Anita Graser, Alexander Bruy Style and approach This Learning Path will get you up and running with QGIS. We start off with an introduction to QGIS and create maps and plugins. Then, we will guide you through Blueprints for geographic web applications, each of which will teach you a different feature by boiling down a complex workflow into steps you can follow. Finally, you'll turn your attention to becoming a QGIS power user and master data management, visualization, and spatial analysis techniques of QGIS.
Author: Álvaro Rocha Publisher: Springer ISBN: 9811391556 Category : Technology & Engineering Languages : en Pages : 509
Book Description
This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS), held at the Military Engineering Institute, Rio de Janeiro, Brazil, from 8 to 10th May 2019. It covers a variety of topics in systems, communication and defense; strategy and political-administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.
Author: Anita Graser Publisher: Packt Publishing Ltd ISBN: 1785888153 Category : Computers Languages : en Pages : 210
Book Description
The latest guide to using QGIS 2.14 to create great maps and perform geoprocessing tasks with ease About This Book Learn how to work with various data and create beautiful maps using this easy-to-follow guide. Give a touch of professionalism to your maps both for functionality and look and feel with the help of this practical guide. A progressive hands-on guide that builds on a geo-spatial data and adds more reactive maps by using geometry tools. Who This Book Is For This book is great for users, developers, and consultants who know the basic functions and processes of GIS and want to learn to use QGIS to analyze geospatial data and create rich mapping applications. If you want to take advantage of the wide range of functionalities that QGIS offers, then this is the book for you. What You Will Learn Install QGIS and get familiar with the user interface Load vector and raster data from files, databases, and web services Create, visualize, and edit spatial data Perform geoprocessing tasks and automate them Create advanced cartographic outputs Design great print maps Expand QGIS using Python In Detail QGIS is a user-friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OS X, and Windows. The popularity of open source geographic information systems and QGIS in particular has been growing rapidly over the last few years. Learning QGIS Third Edition is a practical, hands-on guide updated for QGIS 2.14 that provides you with clear, step-by-step exercises to help you apply your GIS knowledge to QGIS. Through clear, practical exercises, this book will introduce you to working with QGIS quickly and painlessly. This book takes you from installing and configuring QGIS to handling spatial data to creating great maps. You will learn how to load and visualize existing spatial data and create data from scratch. You will get to know important plugins, perform common geoprocessing and spatial analysis tasks and automate them with Processing. We will cover how to achieve great cartographic output and print maps. Finally, you will learn how to extend QGIS using Python and even create your own plugin. Style and approach A step by step approach to explain concepts of Geospatial map with the help of real life examples
Author: Gary Sherman Publisher: ISBN: 9780998547725 Category : Computers Languages : en Pages : 252
Book Description
Welcome to the world of PyQGIS, the blending of QGIS and Python to extend and enhance your open source GIS toolbox. With PyQGIS you can write scripts and plugins to implement new features and perform automated tasks. This book covers version 3.0 of the QGIS application programming interface (API), featuring Python 3.
Author: Grant Humphries Publisher: Springer ISBN: 3319969781 Category : Science Languages : en Pages : 442
Book Description
Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.
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Author: Kurt Menke
Author: Andrew Cutts
Author: Shammunul Islam
Author: Shammunul Islam
Author: Anita Graser
Author: Anita Graser
Author: Álvaro Rocha
Author: Anita Graser
Author: Gary Sherman
Author: Grant Humphries