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Python geospatial development essentials : utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application /

This book is ideal for Python programmers who are tasked with or wish to make a special-purpose GIS application. Analysts, political scientists, geographers, and GIS specialists seeking a creative platform to experiment with cutting-edge spatial analysis, but who are still only beginners in Python,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bahgat, Karim (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Copyright
  • Credits
  • About the Author
  • About the Reviewers
  • www.PacktPub.com
  • Table of Contents
  • Preface
  • Chapter 1: Preparing to Build Your Own GIS Application
  • Why re-invent the wheel?
  • Setting up your computer
  • Installing third-party packages
  • Imagining the roadmap ahead
  • Summary
  • Chapter 2: Accessing Geodata
  • The approach
  • Vector data
  • A data interface for vector data
  • The vector data structure
  • Computing bounding boxes
  • Spatial indexing
  • Loading vector files
  • Shapefile
  • GeoJSON
  • File format not supported
  • Saving vector data
  • Shapefile
  • GeoJSON
  • File format not supported
  • Raster data
  • A data interface for raster data
  • The raster data structure
  • Positioning the raster in coordinate space
  • Nodata masking
  • Loading raster data
  • GeoTIFF
  • File format not supported
  • Saving raster data
  • GeoTIFF
  • File format not supported
  • Summary
  • Chapter 3: Designing the Visual Look of Our Application
  • Setting up the GUI package
  • Creating the toolkit building blocks
  • Themed styling
  • Basic buttons
  • Buttons with icons
  • Toolbars
  • The Ribbon tab system
  • The bottom status bar
  • The layers pane
  • The Map widget
  • Popup windows
  • Dispatching heavy tasks to thread workers
  • Using the toolkit to build the GUI
  • Testing our application
  • Summary
  • Chapter 4: Rendering Our Geodata
  • Rendering
  • Installing PyAgg
  • A sequence of layers
  • The MapCanvas drawer
  • Individual layer renderings
  • Vector layers
  • Raster layers
  • Interactively rendering our maps
  • Linking the MapView to the renderer
  • Requesting to render a map
  • Resizing the map in proportion to window resizing
  • The LayersPane as a LayerGroup
  • Adding layers
  • Editing layers in the LayersPane widget
  • Click-and-drag to rearrange the layer sequence
  • Zooming the map image.
  • Map panning and one-time rectangle zoom
  • A navigation toolbar
  • Putting it all together
  • Summary
  • Chapter 5: Managing and Organizing Geographic Data
  • Creating the management module
  • Inspecting files
  • Organizing files
  • Vector data
  • Splitting
  • Merging
  • Geometry cleaning
  • Raster data
  • Mosaicking
  • Resampling
  • Weaving functionality into the user interface
  • Layer-specific right-click functions
  • Defining the tool options windows
  • Setting up the management tab
  • Defining the tool options windows
  • Summary
  • Chapter 6: Analyzing Geographic Data
  • Creating the analysis module
  • Analyzing data
  • Vector data
  • Overlap summary
  • Buffer
  • Raster data
  • Zonal statistics
  • Weaving functionality into the user interface
  • Layer-specific right-click functions
  • Defining the tool options windows
  • Setting up the analysis tab
  • Defining the tool options window
  • Summary
  • Chapter 7: Packaging and Distributing Your Application
  • Attaching an application logo
  • The icon image file
  • Assigning the icon
  • The application startup script
  • Packaging your application
  • Installing py2exe
  • Developing a packaging strategy
  • Creating the build script
  • Adding the visual C runtime DLL
  • Creating an installer
  • Installing Inno Setup
  • Setting up your application's installer
  • Summary
  • Chapter 8: Looking Forward
  • Improvements to the user interface
  • Saving and loading user sessions
  • File drag and drop
  • GUI widgets
  • Other variations of the user interface
  • Adding more GIS functionality
  • Basic GIS selections
  • More advanced visualization
  • Online data services
  • Converting between raster and vector data
  • Projections
  • Geocoding
  • Going the GDAL/NumPy/SciPy route
  • Expanding to other platforms
  • Touch devices
  • Summary
  • Index.