Changes between Version 74 and Version 75 of WKTRaster/SpecificationWorking03

Timestamp:

05/11/11 16:26:12 (14 years ago)

Author:

dustymugs

Comment:

—

WKTRaster/SpecificationWorking03

@@ -105 +105 @@
 As part of the process to provide complete implementations of ST_AsJPEG and ST_AsPNG, a method is required to reclassify larger numbers unable to be contained in 8BUI (JPEG and PNG) and 16BUI (PNG). For this reclassification function, we need to get the min and max values of a band, thus ST_MinMax.
 
-1. ST_MinMax(rast raster, nband int, ignore_nodata boolean) -> record
+1. ST_MinMax(rast raster, nband int, hasnodata boolean) -> record
 
   returns one record of two columns (min, max)
@@ -111 +111 @@
   nband: index of band to process on
 
-  ignore_nodata: if TRUE, any pixel who's value is nodata is ignored.
+  hasnodata: if FALSE, any pixel who's value is nodata is ignored.
 
 {{{
@@ -119 +119 @@
 2. ST_MinMax(rast raster, nband int) -> record
 
-  assumes ignore_nodata = TRUE
+  assumes hasnodata = FALSE
 
 {{{
@@ -125 +125 @@
 }}}
 
-3. ST_MinMax(rast raster, ignore_nodata boolean) -> record
+3. ST_MinMax(rast raster, hasnodata boolean) -> record
 
   assumes band index = 1
@@ -135 +135 @@
 4. ST_MinMax(rast raster) -> record
 
-  assumes band index = 1 and ignore_nodata = TRUE
+  assumes band index = 1 and hasnodata = FALSE
 
 {{{
@@ -149 +149 @@
 The functions are:
 
-1. ST_ApproxMinMax(rast raster, nband int, ignore_nodata boolean, sample_percent double precision) -> record
+1. ST_ApproxMinMax(rast raster, nband int, hasnodata boolean, sample_percent double precision) -> record
 
   sample_percent: a value between 0 and 1 indicating the percentage of the raster band's pixels to consider when determining the min/max pair.
@@ -159 +159 @@
 }}}
 
-2. ST_ApproxMinMax(rast raster, ignore_nodata boolean, sample_percent double precision) -> record
+2. ST_ApproxMinMax(rast raster, nband int, sample_percent double precision) -> record
 
   assumes that nband = 1
 
 {{{
+ST_ApproxMinMax(rast, 2 0.01)
+
+ST_ApproxMinMax(rast, 4, 0.025)
+}}}
+
+3. ST_ApproxMinMax(rast raster, hasnodata boolean, sample_percent double precision) -> record
+
+  assumes that nband = 1
+
+{{{
 ST_ApproxMinMax(rast, FALSE, 0.01)
 
@@ -169 +179 @@
 }}}
 
-3. ST_ApproxMinMax(rast raster, sample_percent double precision) -> record
-
-  assumes that nband = 1 and ignore_nodata = TRUE
+4. ST_ApproxMinMax(rast raster, sample_percent double precision) -> record
+
+  assumes that nband = 1 and hasnodata = FALSE
 
 {{{
@@ -177 +187 @@
 }}}
 
-4. ST_ApproxMinMax(rast raster) -> record
-
-  assumes that nband = 1, ignore_nodata = TRUE and sample_percent = 0.1
+5. ST_ApproxMinMax(rast raster) -> record
+
+  assumes that nband = 1, hasnodata = FALSE and sample_percent = 0.1
 
 {{{