Python Geospatial Development EssentialsPackt Publishing Ltd, 17/06/2015 - 192 páginas This book provides you with the resources to successfully develop your own GIS application in Python. The book begins by walking you through the loading and saving of data structures before you start to build the look and feel of your application and create its interactive map window. You'll then move on to managing, editing, and analyzing spatial data from within the application and finish with instructions for packaging the application for distribution. By the end of the book, you should be able to use your GIS application as a template for further development, with the potential to expand and customize it to suit your needs. |
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... coordinates SDI development and implementation. He also participated in the EU/ FP7 ACQWA project and is the GRID-Geneva lead developer of the PREVIEW Global Risk Data Platform (http://preview.grid.unep.ch). He coordinates and develops ...
... coordinates SDI development and implementation. He also participated in the EU/ FP7 ACQWA project and is the GRID-Geneva lead developer of the PREVIEW Global Risk Data Platform (http://preview.grid.unep.ch). He coordinates and develops ...
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... 26 The raster data structure 27 Positioning the raster in coordinate space 30 Nodata masking 33 Loading raster data 34 GeoTIFF 36 File format not supported 38 Saving raster data 39 GeoTIFF 40 File format not supported [i] Table of Contents.
... 26 The raster data structure 27 Positioning the raster in coordinate space 30 Nodata masking 33 Loading raster data 34 GeoTIFF 36 File format not supported 38 Saving raster data 39 GeoTIFF 40 File format not supported [i] Table of Contents.
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... (coordinate-based geometries such as points, lines, and polygons) and raster (a regularly spaced out grid of data points or cells, similar to an image and its pixels). For a more detailed introduction to the differences between vector [6] ...
... (coordinate-based geometries such as points, lines, and polygons) and raster (a regularly spaced out grid of data points or cells, similar to an image and its pixels). For a more detailed introduction to the differences between vector [6] ...
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... (coordinates that define, say, the shape and location of a country). An overview of the structure may therefore look something like this: In our implementation of the vector data structure, we therefore create the interface as a ...
... (coordinates that define, say, the shape and location of a country). An overview of the structure may therefore look something like this: In our implementation of the vector data structure, we therefore create the interface as a ...
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... Coordinate Reference System (CRS) which defaults to unprojected WGS84 if not specified. To store the features, rather than using lists or dictionaries, we use an ordered dictionary that allows us to identify each feature with a unique ...
... Coordinate Reference System (CRS) which defaults to unprojected WGS84 if not specified. To store the features, rather than using lists or dictionaries, we use an ordered dictionary that allows us to identify each feature with a unique ...
Índice
1 | |
9 | |
Designing the Visual Look
of Our Application | 43 |
Rendering Our Geodata | 75 |
Managing and Organizing Geographic Data | 103 |
Analyzing Geographic Data | 131 |
Packaging and Distributing Your Application | 147 |
Looking Forward | 159 |
Index | 167 |
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Palavras e frases frequentes
affine transform anchor="ne bands basic bbox bounding box button cells chapter class a subclass coordinate coords create def __init__(self default define dist folder EXE file expand=True file format filepath following code following screenshot functionality GDAL geographic data geoj GeoJSON geometries geospatial geospatial metadata GeoTIFF GIS application icon implement Inno Setup input inputwidget install interactive kwargs layer LayerGroup layeritem layeritem in layerspane layerspane libraries MapCanvas class Matplotlib menu method module mouse nodata NumPy open source options window Packt pixel polygon popup_message(self py2exe PyAgg pyshp Python Python Package pythongis raster data raw tags rendering resampling resize runtoolframe script selector self.add_info(general self.layerspane self.statusbar shapefile spatial index specified startx starty statusbar style_options_labels Tkinter tool toolbar toolkit tuple user interface vector and raster vector data visual width xscale zonal statistics zoom