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. |
No interior do livro
Resultados 1-5 de 14
Página 15
... bounding boxes Although we now have the basic structure of vector data, we want some additional convenience methods. For vector data, it is frequently useful to know the bounding box of each feature, which is an aggregated geographical ...
... bounding boxes Although we now have the basic structure of vector data, we want some additional convenience methods. For vector data, it is frequently useful to know the bounding box of each feature, which is an aggregated geographical ...
Página 16
... bounding box as a simple value or attribute even though it is computed as several steps in a method: @property def bbox(self): if not self._cached_bbox: geotype = self.geometry["type"] coords = self.geometry["coordinates"] if geotype ...
... bounding box as a simple value or attribute even though it is computed as several steps in a method: @property def bbox(self): if not self._cached_bbox: geotype = self.geometry["type"] coords = self.geometry["coordinates"] if geotype ...
Página 17
... bounding boxes of overlapping features inside each other so that feature locations can be tested and retrieved faster. For this, we will use the Rtree library. Perform the following steps: 1. Go to http://www.lfd.uci.edu/~gohlke ...
... bounding boxes of overlapping features inside each other so that feature locations can be tested and retrieved faster. For this, we will use the Rtree library. Perform the following steps: 1. Go to http://www.lfd.uci.edu/~gohlke ...
Página 19
... bounding boxes for each individual feature can be costly. One of the benefits of the shapefile format is that each shape's bounding box is stored as part of the shapefile format. Therefore, we take advantage of the fact that they are ...
... bounding boxes for each individual feature can be costly. One of the benefits of the shapefile format is that each shape's bounding box is stored as part of the shapefile format. Therefore, we take advantage of the fact that they are ...
Página 31
Atingiu o limite de visualização deste livro.
Atingiu o limite de visualização deste livro.
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 |
Outras edições - Ver tudo
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