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,...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
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Colección: | Community experience distilled.
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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.