Discover QGIS 3.x PDF Download

Author: Bradley Shellito
Publisher: WH Freeman
ISBN: 9781319060459
Category : Science
Languages : en
Pages : 560

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Book Description
Written for both majors and non-majors alike, Introduction to Geospatial Technologies demonstrates the wide range of geographic technologies available to and used by geographers today. Each chapter contains an introduction to the key concepts and a lab activity, so that in addition to gaining a basic foundation of knowledge students also obtain hands-on experience with the relevant software. This new edition stays current with its rapidly moving field, with coverage and lab activities revised to reflect is the most up-to-date ideas and innovations in GST.

Author: Kurt Menke
Publisher: Locate Press
ISBN: 9780998547763
Category :
Languages : en
Pages : 406

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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: Kurt Menke
Publisher:
ISBN: 9780989421775
Category : Computers
Languages : en
Pages : 104

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Book Description
This book is Part 1 of Discover QGIS: Introduction to Geospatial Technology. Topics include spatial data models, displaying geospatial data, creating geospatial data, understanding remote sensing /analysis, and basic geospatial analysis techniques. This book provides an excellent introduction to GIS using the premier open source application---QGIS.

Author: Anita Graser
Publisher: Packt Publishing Ltd
ISBN: 1785888153
Category : Computers
Languages : en
Pages : 210

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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: Scott Madry
Publisher: Locate Press
ISBN: 9781734464306
Category :
Languages : en
Pages : 224

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Book Description
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.

Author: Kurt Menke
Publisher:
ISBN: 9780989421768
Category : Computers
Languages : en
Pages : 470

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Book Description
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.

Author: Andrew Cutts
Publisher: Packt Publishing Ltd
ISBN: 1789340047
Category : Computers
Languages : en
Pages : 157

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Book Description
Step through loading GIS data, creating GIS data, styling GIS and making maps with QGIS following a simple narrative that will allow you to build confidence as you progress. Key FeaturesWork with GIS data, a step by step guide from creation to making a mapPerform geoprocessing tasks and automate them using model builderExplore a range of features in QGIS 3.4, discover the power behind open source desktop GISBook Description QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4. This book will provide you with clear, step-by-step instructions to help you apply your GIS knowledge to QGIS. You begin with an overview of QGIS 3.4 and its installation. You will learn how to load existing spatial data and create vector data from scratch. You will then be creating styles and labels for maps. The final two chapters demonstrate the Processing toolbox and include a brief investigation on how to extend QGIS. Throughout this book, we will be using the GeoPackage format, and we will also discuss how QGIS can support many different types of data. Finally, you will learn where to get help and how to become engaged with the GIS community. What you will learnUse existing data to interact with the canvas via zoom/pan/selectionCreate vector data and a GeoPackage and build a simple project around itStyle data, both vector and raster data, using the Layer Styling PanelDesign, label, save, and export maps using the data you have createdAnalyze spatial queries using the Processing toolboxExpand QGIS with the help of plugins, model builder, and the command lineWho this book is for If you know the basic functions and processes of GIS, and want to learn to use QGIS to analyze geospatial data and create rich mapping applications, then this is the book for you.

Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 354

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Book Description
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.

Author: Markus Neteler
Publisher: Springer Science & Business Media
ISBN: 1402080654
Category : Science
Languages : en
Pages : 415

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Book Description
Since the first edition of Open Source GIS: A GRASS GIS Approach was published in 2002, GRASS has undergone major improvements. This second edition includes numerous updates related to the new development; its text is based on the GRASS 5.3 version from December 2003. Besides changes related to GRASS 5.3 enhancements, the introductory chapters have been re-organized, providing more extensive information on import of external data. Most of the improvements in technical accuracy and clarity were based on valuable feedback from readers. Open Source GIS: A GRASS GIS Approach, Second Edition, provides updated information about the use of GRASS, including geospatial modeling with raster, vector, and site data, image processing, visualization, and coupling with other open source tools for geostatistical analysis and web applications. A brief introduction to programming within GRASS encourages new development. The sample data set used throughout the book has been updated and is available on the GRASS web site. This book also includes links to sites where the GRASS software and on-line reference manuals can be downloaded and additional applications can be viewed.

Author: Christine Garrard
Publisher: Simon and Schuster
ISBN: 163835314X
Category : Computers
Languages : en
Pages : 558

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Book Description
Summary Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's Inside Geoprocessing from the ground up Read, write, process, and analyze raster data Visualize data with matplotlib Write custom geoprocessing tools Three additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the Author Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of Contents Introduction Python basics Reading and writing vector data Working with different vector file formats Filtering data with OGR Manipulating geometries with OGR Vector analysis with OGR Using spatial reference systems Reading and writing raster data Working with raster data Map algebra with NumPy and SciPy Map classification Visualizing data Appendixes A - Installation B - References C - OGR - online only D - OSR - online only E - GDAL - online only