Python Geospatial Development Essentials
Packt 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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In addition to storing the fieldnames and creating features from rows and
geometries, a VectorData instance remembers the filepath origin of the loaded
data if applicable, and the Coordinate Reference System (CRS) which defaults to
For the sake of simplicity, maximum interoperability, and memory efficiency, we
choose to store feature geometries in the popular and widely supported
GeoJSON format, which is just a Python dictionary structure formatted according
to certain ...
Finally, we have the function return the loaded fields, rows, geometries, and
projection so our data module can use them to build a VectorData instance. Here
is the final code: # shapefile if filepath.endswith(".shp"): shapereader = pyshp.
Karim Bahgat. Rows are loaded by looping the features and accessing the
properties attribute. This PyGeojobject's geometries consist purely of GeoJSON
dictionaries, same as our own data structure, so we just load the geometries as is
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