QGIS Python Programming Cookbook

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Packt Publishing Ltd, 14/03/2017 - 464 páginas

Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

About This BookDelve into the undocumented features of the QGIS APIGet a set of user-friendly recipes that can automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processesThis book has a complete code upgrade to QGIS 2.18 and 30 new, valuable recipesWho This Book Is For

This book is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain.

What You Will LearnUse Python and QGIS to produce captivating GIS visualizations and build complex map layoutsFind out how to effectively use the poorly-documented and undocumented features of the QGIS Python APIAutomate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processesCreate, import, and edit geospatial data on disk or in-memoryChange QGIS settings programmatically to control default behaviorAutomatically generate PDF map booksBuild dynamic forms for field inputIn Detail

QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language—Python, we can write effective scripts that extend the core functionality of QGIS.

Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we'll also share a few tips and tricks based on different aspects of QGIS.

Style and approach

This book follows a recipe-based problem-solution approach to address and dispel challenges faced when implementing and using QGIS on a regular basis.

 

Páginas seleccionadas

Índice

Preface
1
Automating QGIS
8
Querying Vector Data
48
Editing Vector Data
79
Using Raster Data
113
Creating Dynamic Maps
165
Composing Static Maps
236
Interacting with the User
273
QGIS Workflows
309
Other Tips and Tricks
369
Index
423
Direitos de autor

Outras edições - Ver tudo

QGIS Python Programming Cookbook
Joel Lawhead
Pré-visualização limitada - 2015
QGIS Python Programming Cookbook: Over 140 Recipes to Help You Turn QGIS ...
Joel Lawhead
Pré-visualização indisponível - 2015

Palavras e frases frequentes

add the layer algorithm application arrow symbol attributes color ramp configure create dataset default define dialog directory named display download the following Esri extract feature Finally following image following screenshot shows following steps following zipped shapefile format GDAL GeoJSON geometry geospatial Getting ready Download Google Earth home directory input install label Linux load the layer looks similar map composition map layer MapComposer method mmqgis need to download need to import need to perform NetCDF Numpy object OpenStreetMap output path perform the following pixel Plugins menu polygon PostGIS Processing Toolbox PyQGIS API PyQt PyQt4.QtCore import PyQt4.QtGui import QGIS map QGIS plugin QGIS Python console qgis_data directory qgis_data/rasters directory query radio button raster layer renderer SatImage select Python Console spatial index specify symbol layer tool Unzip values variable vector layer Verify widget window ZIP file

Acerca do autor (2017)

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified Geographic Information Systems Professional, and the Chief Information Officer (CIO) for http://www.nvisionsolutions.com/, an award-winning firm specializing in geospatial technology integration and harsh-environment engineering. Joel builds geospatial systems for US government agencies, including NASA, NOAA, the US Department of Homeland Security, and the military. He also works with private organizations, including the National Oceans and Applications Research Center (NOARC) and The Ocean Cleanup. He has authored other books with Packt Publishing, including Learning Geospatial Analysis with Python, QGIS Python Programming Cookbook, and Learning Geospatial Analysis with Python, Second Edition. His cookbook recipes have been featured in two editions of the O'Reilly Python Cookbook. Joel began using Python in 1997 and combined it with geospatial software development in 2000. He is also the developer of the widely used open source Python Shapefile Library (PyShp) and maintains the geospatial technical blog, http://geospatialpython.com/, and Twitter feed, @SpatialPython, discussing the use of Python within the geospatial industry. In 2011, Joel reverse-engineered and published the undocumented shapefile spatial indexing format and assisted fellow geospatial Python developer, Marc Pfister, in reversing the compression algorithm, allowing developers around the world to create better integrated and more robust geospatial applications involving shapefiles. In 2002, Joel received the international Esri Special Achievement in GIS award for his work on the Real-Time Emergency Action Coordination Tool (REACT) for emergency management using geospatial analysis.

Informação bibliográfica

TítuloQGIS Python Programming Cookbook
AutorJoel Lawhead
Edição2
EditoraPackt Publishing Ltd, 2017
ISBN1787121100, 9781787121102
Número de páginas464 páginas
  
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