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Discover QGIS 3.x - Second Edition: A Workbook for Classroom Or Independent Study

Author: Kurt Menke

Publisher: Locate Press

Published: 2022-08

Total Pages: 0

ISBN-13: 9780986805257

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 analyses. The second edition is an update of the original title, using QGIS 3.24+. It contains 31 chapters covering an Introduction to Geospatial Technology, Spatial Analysis, Data Management, Cartography and Advanced Data Visualization. All 31 chapters have been updated with new figures of each GUI, more thorough descriptions and new QGIS features and workflows. The second edition includes: Seven brand new chapters: Raster Data Analysis Field Data Collection Using the Style Manager & Working with Legend Patch Shapes Automating Print Layouts with Templates and Atlases Working with Labels and Annotation Animating Temporal Data with the Temporal Controller Working with Point Cloud Data Another seven chapters with major updates including new tasks. Updated appendices covering: Coordinate reference systems Keyboard shortcuts Popular plugins Getting involved The book is a complete resource and includes: Lab exercises Challenge exercises Discussion questions All data and solution files

Discover QGIS

Author: Kurt Menke

Publisher:

Published: 2016

Total Pages: 470

ISBN-13: 9780989421768

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Get your hands on the award winning GeoAcademy exercises in a convenient workbook format. The GeoAcademy is the first ever GIS curriculum based on a national standard--the U.S. Department of Labor's Geospatial Competency Model--a hierarchical model of the knowledge, skills, and abilities needed to work as a GIS professional in today's marketplace.Originally written for QGIS v2.4, the GeoAcademy material in this workbook has been updated for use with QGIS 2.14, Inkscape 0.91, and GRASS GIS 7.0.3. This is the most up-to-date version of the GeoAcademy curriculum. To aid in learning, all exercise data includes solution files.The workbook is edited by one of the lead GeoAcademy authors, Kurt Menke, a highly experienced FOSS4G educator.

Discover QGIS 3.x

Author: Kurt Menke

Publisher: Locate Press

Published: 2019-04-29

Total Pages: 406

ISBN-13: 9780998547763

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Introduction to QGIS

Author: Scott Madry

Publisher: Locate Press

Published: 2021-05-17

Total Pages: 224

ISBN-13: 9781734464306

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Get started with QGIS with this introduction covering everything needed to get you going. This tutorial, based on the 3.16 LTR version, introduces you to major concepts and techniques to get you started with viewing data, analysis, and creating maps and reports. With this book you'll learn about: The QGIS interface Creating, editing, and analyzing vector data Working with raster (image) data Using plugins The QGIS Processing Toolbox Georeferencing Creating map and reports Resources for further help and study The book includes a link to all the data you'll need to follow along with each chapter.

Learn QGIS

Author: Andrew Cutts

Publisher: Packt Publishing Ltd

Published: 2018-11-27

Total Pages: 268

ISBN-13: 1788998863

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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

The PyQGIS Programmer's Guide

Author: Gary Sherman

Publisher:

Published: 2018-03-15

Total Pages: 252

ISBN-13: 9780998547725

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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.

Learning QGIS

Author: Anita Graser

Publisher: Packt Publishing Ltd

Published: 2016-03-10

Total Pages: 210

ISBN-13: 1785888153

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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

Global Innovation Index 2020

Author: Cornell University

Publisher: WIPO

Published: 2020-08-13

Total Pages: 448

ISBN-13: 2381920005

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The Global Innovation Index 2020 provides detailed metrics about the innovation performance of 131 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The 2020 edition sheds light on the state of innovation financing by investigating the evolution of financing mechanisms for entrepreneurs and other innovators, and by pointing to progress and remaining challenges – including in the context of the economic slowdown induced by the coronavirus disease (COVID-19) crisis.

Developments and Advances in Defense and Security

Author: Álvaro Rocha

Publisher: Springer

Published: 2019-06-13

Total Pages: 534

ISBN-13: 9811391556

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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.

Machine Learning for Ecology and Sustainable Natural Resource Management

Author: Grant Humphries

Publisher: Springer

Published: 2018-11-05

Total Pages: 441

ISBN-13: 3319969781

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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.