Changes between Version 60 and Version 61 of WKTRasterTutorial01

Timestamp:

Jun 14, 2010, 8:06:05 AM (14 years ago)

Author:

pracine

Comment:

—

WKTRasterTutorial01

@@ -10 +10 @@
  * supports multiband, nodata value, georeference, overviews, overlapping tiles and non rectangular coverages
  * is not really limited in size (PostgreSQL has a limit of 32 TB)
- * is very well integrated with PostGIS geometries
+ * is very well integrated with the existing PostGIS geometry type allowing for example seamless and efficient intersections operations with vector tables
  * comes with a very versatile Python raster loader (supporting batch loading through wildcards and as many input formats as GDAL does)
- * is not only a raster format but a SQL raster manipulation and analysis language
- * allows seamless and efficient intersections operations with vector tables
-
-
-Basically the problem introduced in this tutorial is to compute the mean elevation for buffers surrounding a series of point representing caribou observations. You can do this kind of analysis pretty easily in any GIS package but what is special here and is not easy to do in ANY GIS package is the size of the datasets used (900 MB or raster data), the simplicity of the queries and the speed at which we will get the results.
-
-We will describe the steps mainly on Windows, but Linux gurus will have no problem writing the equivalent commands in their favorite OS. We assume that PostgreSQL, PostGIS and PostGIS WKT Raster are well installed. Refer to the readme file of each software to install them properly. The version used are:
+ * is not only a raster format but a SQL raster manipulation and analysis API
+
+
+Basically the problem introduced in this tutorial is to compute the mean elevation for buffers surrounding a series of point representing caribou observations. You can do this kind of analysis pretty easily in any GIS package but what is special here and not easy to do in ANY GIS package is the size of the datasets involved (900 MB of raster data), the simplicity of the queries and the speed at which we will get the results.
+
+We will describe the steps mainly on Windows, but Linux gurus will have no problem writing the equivalent commands in their favorite OS. We assume that PostgreSQL, PostGIS with WKT Raster are well installed. Refer to the readme file of each software to install them properly. The version used are:
 
  * [http://www.postgresql.org/ PostgreSQL 8.4]