From 12e199356e1cfe74dd7d874a2d3fdc16a21a60d8 Mon Sep 17 00:00:00 2001 From: Claude Paroz Date: Tue, 10 Mar 2015 19:42:38 +0100 Subject: [PATCH] [1.8.x] Fixed download instructions for cities shapefile Thanks Daniel Wiesmann for spotting the issue. Backport of 57d42aef97 from master. --- docs/ref/contrib/gis/gdal.txt | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/ref/contrib/gis/gdal.txt b/docs/ref/contrib/gis/gdal.txt index d3c77deb82..2ed65746c9 100644 --- a/docs/ref/contrib/gis/gdal.txt +++ b/docs/ref/contrib/gis/gdal.txt @@ -34,9 +34,9 @@ The GDAL/OGR tools described here are designed to help you read in your geospatial data, in order for most of them to be useful you have to have some data to work with. If you're starting out and don't yet have any data of your own to use, GeoDjango tests contain a number of -simple data sets that you can use for testing. You can download them here: +simple data sets that you can use for testing. You can download them here:: -https://github.com/django/django/raw/master/tests/gis_tests/data/cities/cities.shp + $ wget https://raw.githubusercontent.com/django/django/master/tests/gis_tests/data/cities/cities.{shp,prj,shx,dbf} Vector Data Source Objects ========================== @@ -72,7 +72,7 @@ each feature in that layer. accessing the layers of data themselves, see the next section:: >>> from django.contrib.gis.gdal import DataSource - >>> ds = DataSource(CITIES_PATH) + >>> ds = DataSource('/path/to/your/cities.shp') >>> ds.name '/path/to/your/cities.shp' >>> ds.layer_count # This file only contains one layer