Python geospatial development essentials utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application : Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
Birmingham, UK: Packt Publishing, 2015
Online
Buch
- 1 Online-Ressource (1 volume)
Zugriff:
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.
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, will also find this book beneficial. Familiarity with Tkinter application development in Python is preferable but not mandatory
Titel: |
Python geospatial development essentials utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application : Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
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Autor/in / Beteiligte Person: | Bahgat, Karim |
Link: | |
Reihe: | Community experience distilled |
Veröffentlichung: | Birmingham, UK: Packt Publishing, 2015 |
Medientyp: | Buch |
Umfang: | 1 Online-Ressource (1 volume) |
ISBN: | 978-1-78217-441-7 (print) ; 1-78217-441-9 (print) |
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