pgLatLon
changeset 32:eb00c0b0a922
Moved word in introduction of README files
author | jbe |
---|---|
date | Sat Sep 24 19:37:44 2016 +0200 (2016-09-24) |
parents | 42d0e73f7d58 |
children | ae622355c4d4 |
files | README.html README.mkd |
line diff
1.1 --- a/README.html Sat Sep 24 19:34:41 2016 +0200 1.2 +++ b/README.html Sat Sep 24 19:37:44 2016 +0200 1.3 @@ -5,12 +5,12 @@ 1.4 database management system providing geographic data types and spatial indexing 1.5 for the WGS-84 spheroid.</p> 1.6 1.7 -<p>While many other spatial databases still use imprecise bounding boxes for many 1.8 -operations, pgLatLon aims to support more precise geographic calculations for 1.9 -all implemented operators. Efficient indexing of geographic objects is provided 1.10 -using space-filling fractal curves. Optimizations on bit level (including 1.11 -logarithmic compression) allow for a highly memory-efficient non-overlapping 1.12 -index suitable for huge datasets.</p> 1.13 +<p>While many other spatial databases still use imprecise bounding boxes for 1.14 +many operations, pgLatLon aims to support more precise calculations for all 1.15 +implemented geographic operators. Efficient indexing of geographic objects 1.16 +is provided using space-filling fractal curves. Optimizations on bit level 1.17 +(including logarithmic compression) allow for a highly memory-efficient 1.18 +non-overlapping index suitable for huge datasets.</p> 1.19 1.20 <p>pgLatLon is a lightweight solution as it only depends on PostgreSQL itself (and 1.21 a C compiler for building).</p>
2.1 --- a/README.mkd Sat Sep 24 19:34:41 2016 +0200 2.2 +++ b/README.mkd Sat Sep 24 19:37:44 2016 +0200 2.3 @@ -5,12 +5,12 @@ 2.4 database management system providing geographic data types and spatial indexing 2.5 for the WGS-84 spheroid. 2.6 2.7 -While many other spatial databases still use imprecise bounding boxes for many 2.8 -operations, pgLatLon aims to support more precise geographic calculations for 2.9 -all implemented operators. Efficient indexing of geographic objects is provided 2.10 -using space-filling fractal curves. Optimizations on bit level (including 2.11 -logarithmic compression) allow for a highly memory-efficient non-overlapping 2.12 -index suitable for huge datasets. 2.13 +While many other spatial databases still use imprecise bounding boxes for 2.14 +many operations, pgLatLon aims to support more precise calculations for all 2.15 +implemented geographic operators. Efficient indexing of geographic objects 2.16 +is provided using space-filling fractal curves. Optimizations on bit level 2.17 +(including logarithmic compression) allow for a highly memory-efficient 2.18 +non-overlapping index suitable for huge datasets. 2.19 2.20 pgLatLon is a lightweight solution as it only depends on PostgreSQL itself (and 2.21 a C compiler for building).