[postgis-tickets] [SCM] PostGIS branch master updated. 3.1.0alpha3-40-g7ada8bf

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- Log -----------------------------------------------------------------
commit 7ada8bf64bce8bbd73ce70acc28452c7dbd0f7c1
Author: Martin Davis <mtnclimb at gmail.com>
Date:   Mon Dec 7 21:05:46 2020 -0800

    Improve Doc data management section

diff --git a/doc/using_postgis_app.xml b/doc/using_postgis_app.xml
index 9c918fd..5085a2d 100644
--- a/doc/using_postgis_app.xml
+++ b/doc/using_postgis_app.xml
@@ -192,7 +192,7 @@ END</programlisting>
 
         <qandaentry>
           <question>
-            <para>The FILTER I use for my Shape files is not working for my
+            <para>The FILTER I use for my Shapefiles is not working for my
             PostGIS table of the same data.</para>
           </question>
 
@@ -207,13 +207,13 @@ END</programlisting>
 
         <qandaentry>
           <question>
-            <para>My PostGIS layer draws much slower than my Shape file layer,
+            <para>My PostGIS layer draws much slower than my Shapefile layer,
             is this normal?</para>
           </question>
 
           <answer>
             <para>In general, the more features you are drawing into a given map,
-            the more likely it is that PostGIS will be slower than Shape files.
+            the more likely it is that PostGIS will be slower than Shapefiles.
             For maps with relatively few features (100s), PostGIS will often be faster.
             For maps with high feature density (1000s), PostGIS will always be slower.
             </para>
diff --git a/doc/using_postgis_dataman.xml b/doc/using_postgis_dataman.xml
index de78a9d..eff7ca6 100644
--- a/doc/using_postgis_dataman.xml
+++ b/doc/using_postgis_dataman.xml
@@ -1636,24 +1636,23 @@ AND ST_Relate(a.geom, b.geom, '102101FF2');</programlisting>
 
   </sect2>
 
-  <sect2 id="loading_geometry_data">
-	<title>Loading GIS (Vector) Data</title>
+  <sect2 id="loading-data">
+	<title>Loading Spatial Data</title>
 
-	<para>Once you have created a spatial table, you are ready to upload GIS
-	data to the database. Currently, there are two ways to get data into a
+	<para>Once you have created a spatial table, you are ready to upload spatial
+	data to the database. There are two built-in ways to get spatial data into a
 	PostGIS/PostgreSQL database: using formatted SQL statements or using the
-	Shape file loader/dumper.</para>
+	Shapefile loader.</para>
 
 	<sect3>
-	  <title>Loading Data Using SQL</title>
+	  <title>Using SQL to Load Data</title>
 
-	  <para>If you can convert your data to a text representation, then using
-	  formatted SQL might be the easiest way to get your data into PostGIS. As
-	  with Oracle and other SQL databases, data can be bulk loaded by piping a
-	  large text file full of SQL "INSERT" statements into the SQL terminal
-	  monitor.</para>
+	  <para>If spatial data can be converted to a text representation (as either WKT or WKB), then using
+	  SQL might be the easiest way to get data into PostGIS.
+      Data can be bulk-loaded into PostGIS/PostgreSQL by loading a
+	  text file of SQL <code>INSERT</code> statements using the <code>psql</code> SQL utility.</para>
 
-	  <para>A data upload file (<filename>roads.sql</filename> for example)
+	  <para>A SQL load file (<filename>roads.sql</filename> for example)
 	  might look like this:</para>
 
 	  <programlisting>BEGIN;
@@ -1671,22 +1670,22 @@ INSERT INTO roads (road_id, roads_geom, road_name)
   VALUES (6,'LINESTRING(198231 263418,198213 268322)','Dave Cres');
 COMMIT;</programlisting>
 
-	  <para>The data file can be piped into PostgreSQL very easily using the
-	  "psql" SQL terminal monitor:</para>
+	  <para>The SQL file can be loaded into PostgreSQL using <code>psql</code>:</para>
 
 	  <programlisting>psql -d [database] -f roads.sql</programlisting>
 	</sect3>
 
 <sect3 id="shp2pgsql_usage">
-  <title>shp2pgsql: Using the ESRI Shapefile Loader</title>
+  <title>Using the Shapefile Loader</title>
 
   <para>
-    The <filename>shp2pgsql</filename> data loader converts ESRI Shape files into SQL suitable for
-    insertion into a PostGIS/PostgreSQL database either in geometry or geography format. The loader has several operating modes
-    distinguished by command line flags:
+    The <filename>shp2pgsql</filename> data loader converts Shapefiles into SQL suitable for
+    insertion into a PostGIS/PostgreSQL database either in geometry or geography format.
+    The loader has several operating modes selected by command line flags.
   </para>
-  <para>In addition to the shp2pgsql command-line loader, there is an <filename>shp2pgsql-gui</filename> graphical interface with most
-	of the options as the command-line loader, but may be easier to use for one-off non-scripted loading or if you are new to PostGIS.
+  <para>There is also a <filename>shp2pgsql-gui</filename> graphical interface with most
+	of the options as the command-line loader.
+    This may be easier to use for one-off non-scripted loading or if you are new to PostGIS.
 	It can also be configured as a plugin to PgAdminIII.
 	</para>
 
@@ -1700,7 +1699,7 @@ COMMIT;</programlisting>
               <term>-c</term>
               <listitem>
                 <para>
-                  Creates a new table and populates it from the shapefile. <emphasis>This is the
+                  Creates a new table and populates it from the Shapefile. <emphasis>This is the
                   default mode.</emphasis>
                 </para>
               </listitem>
@@ -1710,7 +1709,7 @@ COMMIT;</programlisting>
               <term>-a</term>
               <listitem>
                 <para>
-                  Appends data from the Shape file into the database table. Note that to use this
+                  Appends data from the Shapefile into the database table. Note that to use this
                   option to load multiple files, the files must have the same attributes and same
                   data types.
                 </para>
@@ -1721,8 +1720,7 @@ COMMIT;</programlisting>
               <term>-d</term>
               <listitem>
                 <para>
-                  Drops the database table before creating a new table with the data in the Shape
-                  file.
+                  Drops the database table before creating a new table with the data in the Shapefile.
                 </para>
               </listitem>
             </varlistentry>
@@ -1925,7 +1923,7 @@ AVERYLONGCOLUMNNAME DBFFIELD2</programlisting>
   </variablelist>
 
   <para>
-    An example session using the loader to create an input file and uploading it might look like
+    An example session using the loader to create an input file and loading it might look like
     this:
   </para>
 
@@ -1933,28 +1931,28 @@ AVERYLONGCOLUMNNAME DBFFIELD2</programlisting>
 # psql -d roadsdb -f roads.sql</programlisting>
 
   <para>
-    A conversion and upload can be done all in one step using UNIX pipes:
+    A conversion and load can be done in one step using UNIX pipes:
   </para>
 
   <programlisting># shp2pgsql shaperoads.shp myschema.roadstable | psql -d roadsdb</programlisting>
 </sect3>
   </sect2>
 
-  <sect2 id="retrieving_vector-data">
-	<title>Retrieving GIS Data</title>
+  <sect2 id="extracting-data">
+	<title>Extracting Spatial Data</title>
 
-	<para>Data can be extracted from the database using either SQL or the
-	Shape file loader/dumper. In the section on SQL we will discuss some of
-	the operators available to do comparisons and queries on spatial
-	tables.</para>
+	<para>Spatial data can be extracted from the database using either SQL or the
+	Shapefile dumper. The section on SQL presents some of
+	the functions available to do comparisons and queries on spatial tables.
+    </para>
 
 	<sect3>
-	  <title>Using SQL to Retrieve Data</title>
+	  <title>Using SQL to Extract Data</title>
 
-	  <para>The most straightforward means of pulling data out of the
-        database is to use a SQL select query to reduce the number of RECORDS and COLUMNS returned
-        and dump the resulting columns
-        into a parsable text file:</para>
+	  <para>The most straightforward way of extracting spatial data out of the
+        database is to use a SQL <code>SELECT</code> query
+        to define the data set to be extracted
+        and dump the resulting columns into a parsable text file:</para>
 
 	  <programlisting>db=# SELECT road_id, ST_AsText(road_geom) AS geom, road_name FROM roads;
 
@@ -1969,11 +1967,11 @@ road_id | geom                                    | road_name
 	  7 | LINESTRING(218421 284121,224123 241231) | Chris Way
 (6 rows)</programlisting>
 
-	  <para>However, there will be times when some kind of restriction is
-	  necessary to cut down the number of fields returned. In the case of
-	  attribute-based restrictions, just use the same SQL syntax as normal
+	  <para>There will be times when some kind of restriction is
+	  necessary to cut down the number of records returned. In the case of
+	  attribute-based restrictions, use the same SQL syntax as used
 	  with a non-spatial table. In the case of spatial restrictions, the
-	  following operators are available/useful:</para>
+	  following functions are useful:</para>
 
 	  <variablelist>
 		<varlistentry>
@@ -1992,7 +1990,6 @@ road_id | geom                                    | road_name
 			geometrically identical. For example, if 'POLYGON((0 0,1 1,1 0,0
 			0))' is the same as 'POLYGON((0 0,1 1,1 0,0 0))' (it is).
 			</para>
-			<para>Note: before PostGIS 2.4 this compared only boxes of geometries.</para>
 		  </listitem>
 		</varlistentry>
 	  </variablelist>
@@ -2038,7 +2035,7 @@ WHERE
 	</sect3>
 
 	<sect3>
-	  <title>Using the Dumper</title>
+	  <title>Using the Shapefile Dumper</title>
 
 	  <para>The <filename>pgsql2shp</filename> table dumper connects directly
 	  to the database and converts a table (possibly defined by a query) into
@@ -2135,21 +2132,22 @@ WHERE
   </sect2>
 
   <sect2>
-	<title>Building Indexes</title>
+	<title>Building Spatial Indexes</title>
 
-	<para>Indexes are what make using a spatial database for large data sets
+	<para>Indexes make using a spatial database for large data sets
 	possible. Without indexing, any search for a feature would require a
-	"sequential scan" of every record in the database. Indexing speeds up
+	sequential scan of every record in the database. Indexing speeds up
 	searching by organizing the data into a search tree which can be quickly
-	traversed to find a particular record. PostgreSQL supports three kinds of
-	indexes by default: B-Tree indexes, SP-GiST and GiST indexes.</para>
+	traversed to find a particular record. PostgreSQL supports sevaral kinds of
+	spatial indexes: B-Tree indexes, GiST, BRIN and SP-GiST indexes.</para>
 
 	<itemizedlist>
 	  <listitem>
 		<para>B-Trees are used for data which can be sorted along one axis;
 		for example, numbers, letters, dates. Spatial data can be sorted along
-		a space-filling curve, Z-order curve or Hilbert curve. This representation
-		however does not allow speeding up common operations. </para>
+		a space-filling curve, Z-order curve or Hilbert curve.
+        However, this kind of index does not allow speeding up spatial operations
+        which involve comparisons of spatial extent. </para>
 	  </listitem>
 
 	  <listitem>

-----------------------------------------------------------------------

Summary of changes:
 doc/using_postgis_app.xml     |  6 +--
 doc/using_postgis_dataman.xml | 98 +++++++++++++++++++++----------------------
 2 files changed, 51 insertions(+), 53 deletions(-)


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