# HG changeset patch
# User jbe
# Date 1474738664 -7200
# Node ID eb00c0b0a922ba86c7c7b20d4a00c32192fa196f
# Parent  42d0e73f7d5829b83063b36a03c1c2c49b1926a7
Moved word in introduction of README files

diff -r 42d0e73f7d58 -r eb00c0b0a922 README.html
--- a/README.html	Sat Sep 24 19:34:41 2016 +0200
+++ b/README.html	Sat Sep 24 19:37:44 2016 +0200
@@ -5,12 +5,12 @@
 database management system providing geographic data types and spatial indexing
 for the WGS-84 spheroid.</p>
 
-<p>While many other spatial databases still use imprecise bounding boxes for many
-operations, pgLatLon aims to support more precise geographic calculations for
-all implemented operators. Efficient indexing of geographic objects is provided
-using space-filling fractal curves. Optimizations on bit level (including
-logarithmic compression) allow for a highly memory-efficient non-overlapping
-index suitable for huge datasets.</p>
+<p>While many other spatial databases still use imprecise bounding boxes for
+many operations, pgLatLon aims to support more precise calculations for all
+implemented geographic operators. Efficient indexing of geographic objects
+is provided using space-filling fractal curves. Optimizations on bit level
+(including logarithmic compression) allow for a highly memory-efficient
+non-overlapping index suitable for huge datasets.</p>
 
 <p>pgLatLon is a lightweight solution as it only depends on PostgreSQL itself (and
 a C compiler for building).</p>
diff -r 42d0e73f7d58 -r eb00c0b0a922 README.mkd
--- a/README.mkd	Sat Sep 24 19:34:41 2016 +0200
+++ b/README.mkd	Sat Sep 24 19:37:44 2016 +0200
@@ -5,12 +5,12 @@
 database management system providing geographic data types and spatial indexing
 for the WGS-84 spheroid.
 
-While many other spatial databases still use imprecise bounding boxes for many
-operations, pgLatLon aims to support more precise geographic calculations for
-all implemented operators. Efficient indexing of geographic objects is provided
-using space-filling fractal curves. Optimizations on bit level (including
-logarithmic compression) allow for a highly memory-efficient non-overlapping
-index suitable for huge datasets.
+While many other spatial databases still use imprecise bounding boxes for
+many operations, pgLatLon aims to support more precise calculations for all
+implemented geographic operators. Efficient indexing of geographic objects
+is provided using space-filling fractal curves. Optimizations on bit level
+(including logarithmic compression) allow for a highly memory-efficient
+non-overlapping index suitable for huge datasets.
 
 pgLatLon is a lightweight solution as it only depends on PostgreSQL itself (and
 a C compiler for building).