QGIS Python Programming Cookbook. Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework
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- Nombre de pages315
- FormatGrand Format
- PrésentationBroché
- Poids0.61 kg
- Dimensions19,0 cm × 23,5 cm × 1,8 cm
- ISBN978-1-78398-498-5
- EAN9781783984985
- Date de parution01/01/2016
- ÉditeurPackt Publishing
Résumé
QGIS Python Programming Cookbook QGIS Python Programming 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 come across recipes that will help you to compose static maps, create heavily customized maps, and add specialized labels and annotations. Apart from this, the book will also share a few tips and tricks based on different aspects of QGIS. What this book will do for you... Build a library of reusable scripts with ScriptRunner ; Create, import, and edit geospatial data on disk or in memory ; Get to know more about dynamic mapping ; Create and add features to static maps ; Create a mapbook ; Reproject a vector layer ; Geolocate photos on a map ; Combine multiple rasters into one image.
Following this, you will come across recipes that will help you to compose static maps, create heavily customized maps, and add specialized labels and annotations. Apart from this, the book will also share a few tips and tricks based on different aspects of QGIS. What this book will do for you... Build a library of reusable scripts with ScriptRunner ; Create, import, and edit geospatial data on disk or in memory ; Get to know more about dynamic mapping ; Create and add features to static maps ; Create a mapbook ; Reproject a vector layer ; Geolocate photos on a map ; Combine multiple rasters into one image.