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Python GeoSpatial Analysis Essentials

You're reading from   Python GeoSpatial Analysis Essentials Process, analyze, and display geospatial data using Python libraries and related tools

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782174516
Length 200 pages
Edition 1st Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Reading and writing geospatial data using Python

Since we will be using the GDAL/OGR library to access geospatial data, let's take a closer look at how you can read and write both vector-format and raster-format data using this library.

Reading vector data

In the previous chapter, we wrote a simple program that reads the features out of a shapefile. Here is a copy of that program:

import osgeo.ogr
shapefile = osgeo.ogr.Open("TM_WORLD_BORDERS-0.3.shp")
layer = shapefile.GetLayer(0)
for i in range(layer.GetFeatureCount()):
    feature = layer.GetFeature(i)
    feature_name = feature.GetField("NAME")
    geometry = feature.GetGeometryRef()
    geometry_type = geometry.GetGeometryName()
    print i, feature_name, geometry_type

Let's take a closer look at how this program works, and more generally, how to read vector-format data using the OGR library.

When reading geospatial data, the osgeo.ogr.Open() function takes just a single parameter: the name of the dataset to...

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