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).

Impressum / About Us