Anita Graser – författare
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8 produkter
8 produkter
Häftad, Engelska, 2016
510 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2018
765 kr
Skickas inom 3-6 vardagar
Inbunden, Engelska, 2025
2 217 kr
Skickas inom 10-15 vardagar
Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of Python's capabilities for spatial data analysis, as well as dozens of worked-through examples covering the entire range of standard GIS operations. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent starting point for those new to working with geographic data with Python, making it ideal for students and practitioners beginning their journey with Python.Key features:Showcases the integration of vector and raster datasets operations.Provides explanation of each line of code in the book to minimize surprises.Includes example datasets and meaningful operations to illustrate the applied nature of geographic research.Another unique feature is that this book is part of a wider community. Geocomputation with Python is a sister project of Geocomputation with R (Lovelace, Nowosad, and Muenchow 2019), a book on geographic data analysis, visualization, and modeling using the R programming language that has numerous contributors and an active community.The book teaches how to import, process, examine, transform, compute, and export spatial vector and raster datasets with Python, the most widely used language for data science and many other domains. Reading the book and running the reproducible code chunks within will make you a proficient user of key packages in the ecosystem, including shapely, geopandas, and rasterio. The book also demonstrates how to make use of dozens of additional packages for a wide range of tasks, from interactive map making to terrain modeling. Geocomputation with Python provides a firm foundation for more advanced topics, including spatial statistics, machine learning involving spatial data, and spatial network analysis, and a gateway into the vibrant and supportive community developing geographic tools in Python and beyond.
Häftad, Engelska, 2025
822 kr
Skickas inom 10-15 vardagar
Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of Python's capabilities for spatial data analysis, as well as dozens of worked-through examples covering the entire range of standard GIS operations. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent starting point for those new to working with geographic data with Python, making it ideal for students and practitioners beginning their journey with Python.Key features:Showcases the integration of vector and raster datasets operations.Provides explanation of each line of code in the book to minimize surprises.Includes example datasets and meaningful operations to illustrate the applied nature of geographic research.Another unique feature is that this book is part of a wider community. Geocomputation with Python is a sister project of Geocomputation with R (Lovelace, Nowosad, and Muenchow 2019), a book on geographic data analysis, visualization, and modeling using the R programming language that has numerous contributors and an active community.The book teaches how to import, process, examine, transform, compute, and export spatial vector and raster datasets with Python, the most widely used language for data science and many other domains. Reading the book and running the reproducible code chunks within will make you a proficient user of key packages in the ecosystem, including shapely, geopandas, and rasterio. The book also demonstrates how to make use of dozens of additional packages for a wide range of tasks, from interactive map making to terrain modeling. Geocomputation with Python provides a firm foundation for more advanced topics, including spatial statistics, machine learning involving spatial data, and spatial network analysis, and a gateway into the vibrant and supportive community developing geographic tools in Python and beyond.
335 kr
Skickas inom 5-8 vardagar
This book takes you through every stage you need to create superb maps using QGIS 2.0 – from installation on your favorite OS to data editing and spatial analysis right through to designing your print maps.Key FeaturesLoad and visualize vector and raster dataCreate and edit spatial data and perform spatial analysisConstruct great maps and print themBook DescriptionQGIS is a user friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OSX, and Windows. The popularity of open source geographic information systems and QGIS in particular has been growing rapidly over the last few years. More and more companies and institutions are adopting QGIS and even switching to QGIS as their main GIS.Learning QGIS 2.0 is a practical, hands-on guide that provides you with clear, step-by-step exercises that will help you to apply your GIS knowledge to QGIS. Containing a number of clear, practical exercises, this book will introduce you to working with QGIS, quickly and painlessly. If you want to take advantage of the wide range of functionalities that QGIS offers, then this is the book for you.This book takes you from installing and configuring QGIS, through handling spatial data to creating great maps. You will learn how to load and visualize existing spatial data and how to create data from scratch. You will perform common geoprocessing and spatial analysis tasks and automate them. We will cover how to achieve great cartographic output and print maps. You will learn everything you need to know to handle spatial data management, processing, and visualization tasks in QGIS.What you will learnInstalling QGISGetting comfortable with the QGIS user interfaceLoading vector and raster data from files, databases, and web servicesCreating, editing, and visualizing spatial dataPerforming geoprocessing tasksAutomating geoprocessing and spatial analysis tasksCreating advanced cartographic outputDesigning great print mapsWho this book is forThis book is great for users, developers, and consultants who know the basic functions and processes of a GIS but want to know how to use QGIS to achieve the results they are used to a full-fledged GIS.
507 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2018
565 kr
Skickas inom 5-8 vardagar
Learn to view, edit and analyse geospatial data using QGIS and Python 3Key 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 DescriptionQGIS 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 forIf 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
Häftad, Engelska, 2026
550 kr
Skickas inom 5-8 vardagar
Gain a deep understanding of QGIS, the world's most popular free and open-source GIS tool for spatial analysis and mappingKey FeaturesFind out how to effectively use QGIS by exploring its features in depthPractice real-world scenarios for spatial data extraction, analysis, and mappingExplore cutting-edge topics in the geospatial industry, such as machine learning and artificial intelligencePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSpatial data is everywhere, requiring professionals from various fields to capture, visualize, and analyze spatial datasets from a myriad of sources. In this fifth edition of Learn QGIS, the authors draw from their vast experience in geospatial technologies to guide you through the most essential data editing, mapping, and analysis tools available in the world’s most popular free and open-source geographic information system (GIS) software.This updated edition incorporates the latest advancements in QGIS, comprehensively guiding you through creating, visualizing, and analyzing spatial datasets. Starting with data creation and editing, the book explores map projections, spatial data sources, and visualization techniques. You’ll develop expertise in cartographic principles, conduct spatial analysis for environmental and socioeconomic applications, and work with Earth Observation data from Copernicus and NASA.The addition of new topics such as field data collection, data security, and ethical considerations ensures that you stay ahead of modern GIS challenges. The book also introduces AI in GIS, enabling you to leverage machine learning for geospatial data science tasks.By the end of this QGIS book, you’ll have become proficient in geospatial analysis using QGIS and Python.What you will learnGrasp the core concepts of spatial data importing, managing, and analysisAccess geospatial data sources from public organizationsFind out how to handle different map projections and regulationsGet to grips with the basics of map design and common map typesUnderstand spatial data analysis and problem solving through using real-world scenariosCapture, download, and analyze Earth Observation dataBuild mobile projects for data collection on the goIntegrate the power of AI and ML, and learn the ethical aspects of their use in GISWho this book is forThis fully updated edition is for GIS professionals, developers, researchers, and students in environmental management, urban studies, transportation, and spatial planning. Educators can integrate step-by-step exercises into their technical training as this book provides a hands-on approach to spatial data collection, management, and analysis, incorporating new QGIS capabilities.