Changes between Version 82 and Version 83 of WKTRaster/SpecificationWorking03
- Timestamp:
- 05/24/11 10:57:56 (14 years ago)
Legend:
- Unmodified
- Added
- Removed
- Modified
-
TabularUnified WKTRaster/SpecificationWorking03
v82 v83 1032 1032 nband: index of band 1033 1033 1034 hasnodata: if FALSE, any pixel who's value is nodata is ignored1034 hasnodata: if TRUE, any pixel who's value is nodata is ignored 1035 1035 1036 1036 {{{ … … 1040 1040 2. ST_SummaryStats(rast raster, nband int) -> record 1041 1041 1042 assumes hasnodata = FALSE1042 assumes hasnodata = TRUE 1043 1043 1044 1044 {{{ … … 1056 1056 4. ST_SummaryStats(rast raster) -> record 1057 1057 1058 assumes nband = 1 and hasnodata = FALSE1058 assumes nband = 1 and hasnodata = TRUE 1059 1059 1060 1060 {{{ … … 1102 1102 4. ST_ApproxSummaryStats(rast raster, sample_percent double precision) -> record 1103 1103 1104 assumes that nband = 1 and hasnodata = FALSE1104 assumes that nband = 1 and hasnodata = TRUE 1105 1105 1106 1106 {{{ … … 1110 1110 5. ST_ApproxSummaryStats(rast raster) -> record 1111 1111 1112 assumes that nband = 1, hasnodata = FALSE and sample_percent = 0.11112 assumes that nband = 1, hasnodata = TRUE and sample_percent = 0.1 1113 1113 1114 1114 {{{ … … 1132 1132 2. ST_SummaryStats(rastertable text, rastercolumn text, nband int) -> record 1133 1133 1134 hasnodata = FALSE1134 hasnodata = TRUE 1135 1135 1136 1136 {{{ … … 1148 1148 4. ST_SummaryStats(rastertable text, rastercolumn text) -> record 1149 1149 1150 nband = 1 and hasnodata = FALSE1150 nband = 1 and hasnodata = TRUE 1151 1151 1152 1152 {{{ … … 1166 1166 2. ST_ApproxSummaryStats(rastertable text, rastercolumn text, nband int, sample_percent double precision) -> record 1167 1167 1168 hasnodata = FALSE1168 hasnodata = TRUE 1169 1169 1170 1170 {{{ … … 1186 1186 4. ST_ApproxSummaryStats(rastertable text, rastercolumn text, sample_percent double precision) -> record 1187 1187 1188 nband = 1 and hasnodata = FALSE1188 nband = 1 and hasnodata = TRUE 1189 1189 1190 1190 {{{ … … 1196 1196 5. ST_ApproxSummaryStats(rastertable text, rastercolumn text) -> record 1197 1197 1198 nband = 1, hasnodata = FALSE and sample_percent = 0.11198 nband = 1, hasnodata = TRUE and sample_percent = 0.1 1199 1199 1200 1200 {{{ … … 1217 1217 nband: index of band 1218 1218 1219 hasnodata: if FALSE, any pixel who's value is nodata is ignored1219 hasnodata: if TRUE, any pixel who's value is nodata is ignored 1220 1220 1221 1221 {{{ … … 1225 1225 2. ST_Mean(rast raster, nband int) -> double precision 1226 1226 1227 assumes hasnodata = FALSE1227 assumes hasnodata = TRUE 1228 1228 1229 1229 {{{ … … 1241 1241 4. ST_Mean(rast raster) -> double precision 1242 1242 1243 assumes nband = 1 and hasnodata = FALSE1243 assumes nband = 1 and hasnodata = TRUE 1244 1244 1245 1245 {{{ … … 1281 1281 4. ST_ApproxMean(rast raster, sample_percent double precision) -> double precision 1282 1282 1283 assumes that nband = 1 and hasnodata = FALSE1283 assumes that nband = 1 and hasnodata = TRUE 1284 1284 1285 1285 {{{ … … 1289 1289 5. ST_ApproxMean(rast raster) -> double precision 1290 1290 1291 assumes that nband = 1, hasnodata = FALSE and sample_percent = 0.11291 assumes that nband = 1, hasnodata = TRUE and sample_percent = 0.1 1292 1292 1293 1293 {{{ … … 1311 1311 2. ST_Mean(rastertable text, rastercolumn text, nband int) -> double precision 1312 1312 1313 hasnodata = FALSE1313 hasnodata = TRUE 1314 1314 1315 1315 {{{ … … 1327 1327 4. ST_Mean(rastertable text, rastercolumn text) -> double precision 1328 1328 1329 nband = 1 and hasnodata = FALSE1329 nband = 1 and hasnodata = TRUE 1330 1330 1331 1331 {{{ … … 1345 1345 2. ST_ApproxMean(rastertable text, rastercolumn text, nband int, sample_percent double precision) -> double precision 1346 1346 1347 hasnodata = FALSE1347 hasnodata = TRUE 1348 1348 1349 1349 {{{ … … 1365 1365 4. ST_ApproxMean(rastertable text, rastercolumn text, sample_percent double precision) -> double precision 1366 1366 1367 nband = 1 and hasnodata = FALSE1367 nband = 1 and hasnodata = TRUE 1368 1368 1369 1369 {{{ … … 1375 1375 5. ST_ApproxMean(rastertable text, rastercolumn text) -> double precision 1376 1376 1377 nband = 1, hasnodata = FALSE and sample_percent = 0.11377 nband = 1, hasnodata = TRUE and sample_percent = 0.1 1378 1378 1379 1379 {{{ … … 1396 1396 nband: index of band 1397 1397 1398 hasnodata: if FALSE, any pixel who's value is nodata is ignored1398 hasnodata: if TRUE, any pixel who's value is nodata is ignored 1399 1399 1400 1400 {{{ … … 1404 1404 2. ST_StdDev(rast raster, nband int) -> double precision 1405 1405 1406 assumes hasnodata = FALSE1406 assumes hasnodata = TRUE 1407 1407 1408 1408 {{{ … … 1420 1420 4. ST_StdDev(rast raster) -> double precision 1421 1421 1422 assumes nband = 1 and hasnodata = FALSE1422 assumes nband = 1 and hasnodata = TRUE 1423 1423 1424 1424 {{{ … … 1460 1460 4. ST_ApproxStdDev(rast raster, sample_percent double precision) -> double precision 1461 1461 1462 assumes that nband = 1 and hasnodata = FALSE1462 assumes that nband = 1 and hasnodata = TRUE 1463 1463 1464 1464 {{{ … … 1468 1468 5. ST_ApproxStdDev(rast raster) -> double precision 1469 1469 1470 assumes that nband = 1, hasnodata = FALSE and sample_percent = 0.11470 assumes that nband = 1, hasnodata = TRUE and sample_percent = 0.1 1471 1471 1472 1472 {{{ … … 1490 1490 2. ST_StdDev(rastertable text, rastercolumn text, nband int) -> double precision 1491 1491 1492 hasnodata = FALSE1492 hasnodata = TRUE 1493 1493 1494 1494 {{{ … … 1506 1506 4. ST_StdDev(rastertable text, rastercolumn text) -> double precision 1507 1507 1508 nband = 1 and hasnodata = FALSE1508 nband = 1 and hasnodata = TRUE 1509 1509 1510 1510 {{{ … … 1524 1524 2. ST_ApproxStdDev(rastertable text, rastercolumn text, nband int, sample_percent double precision) -> double precision 1525 1525 1526 hasnodata = FALSE1526 hasnodata = TRUE 1527 1527 1528 1528 {{{ … … 1544 1544 4. ST_ApproxStdDev(rastertable text, rastercolumn text, sample_percent double precision) -> double precision 1545 1545 1546 nband = 1 and hasnodata = FALSE1546 nband = 1 and hasnodata = TRUE 1547 1547 1548 1548 {{{ … … 1554 1554 5. ST_ApproxStdDev(rastertable text, rastercolumn text) -> double precision 1555 1555 1556 nband = 1, hasnodata = FALSE and sample_percent = 0.11556 nband = 1, hasnodata = TRUE and sample_percent = 0.1 1557 1557 1558 1558 {{{ … … 1575 1575 nband: index of band 1576 1576 1577 hasnodata: if FALSE, any pixel who's value is nodata is ignored1577 hasnodata: if TRUE, any pixel who's value is nodata is ignored 1578 1578 1579 1579 {{{ … … 1583 1583 2. ST_MinMax(rast raster, nband int) -> record 1584 1584 1585 assumes hasnodata = FALSE1585 assumes hasnodata = TRUE 1586 1586 1587 1587 {{{ … … 1599 1599 4. ST_MinMax(rast raster) -> record 1600 1600 1601 assumes nband = 1 and hasnodata = FALSE1601 assumes nband = 1 and hasnodata = TRUE 1602 1602 1603 1603 {{{ … … 1639 1639 4. ST_ApproxMinMax(rast raster, sample_percent double precision) -> record 1640 1640 1641 assumes that nband = 1 and hasnodata = FALSE1641 assumes that nband = 1 and hasnodata = TRUE 1642 1642 1643 1643 {{{ … … 1647 1647 5. ST_ApproxMinMax(rast raster) -> record 1648 1648 1649 assumes that nband = 1, hasnodata = FALSE and sample_percent = 0.11649 assumes that nband = 1, hasnodata = TRUE and sample_percent = 0.1 1650 1650 1651 1651 {{{ … … 1669 1669 2. ST_MinMax(rastertable text, rastercolumn text, nband int) -> record 1670 1670 1671 hasnodata = FALSE1671 hasnodata = TRUE 1672 1672 1673 1673 {{{ … … 1685 1685 4. ST_MinMax(rastertable text, rastercolumn text) -> record 1686 1686 1687 nband = 1 and hasnodata = FALSE1687 nband = 1 and hasnodata = TRUE 1688 1688 1689 1689 {{{ … … 1703 1703 2. ST_ApproxMinMax(rastertable text, rastercolumn text, nband int, sample_percent double precision) -> record 1704 1704 1705 hasnodata = FALSE1705 hasnodata = TRUE 1706 1706 1707 1707 {{{ … … 1723 1723 4. ST_ApproxMinMax(rastertable text, rastercolumn text, sample_percent double precision) -> record 1724 1724 1725 nband = 1 and hasnodata = FALSE1725 nband = 1 and hasnodata = TRUE 1726 1726 1727 1727 {{{ … … 1733 1733 5. ST_ApproxMinMax(rastertable text, rastercolumn text) -> record 1734 1734 1735 nband = 1, hasnodata = FALSE and sample_percent = 0.11735 nband = 1, hasnodata = TRUE and sample_percent = 0.1 1736 1736 1737 1737 {{{ … … 1756 1756 nband: index of band to process on 1757 1757 1758 hasnodata: if FALSE, any pixel who's value is nodata is ignored.1758 hasnodata: if TRUE, any pixel who's value is nodata is ignored. 1759 1759 1760 1760 bins: the number of categories/bins to have in the histogram. If NULL or value less than one, the number of categories will be auto-computed using Sturges' formula if the number of values >= 30 or Square-root choice if number of values < 30. … … 1800 1800 5. ST_Histogram(rast raster, nband int) -> set of records 1801 1801 1802 parameter "hasnodata" is removed and assumed to be FALSE1802 hasnodata is assumed to be TRUE 1803 1803 1804 1804 6. ST_Histogram(rast raster) -> set of records … … 1808 1808 7. ST_Histogram(rast raster, nband int, bins int, width double precision[], right boolean) -> set of records 1809 1809 1810 hasnodata is assumed to be FALSE1810 hasnodata is assumed to be TRUE 1811 1811 1812 1812 8. ST_Histogram(rast raster, nband int, bins int, right boolean) -> set of records … … 1854 1854 5. ST_ApproxHistogram(rast raster, nband int, sample_percent double precision) -> set of records 1855 1855 1856 parameter "hasnodata" is removed and assumed to be FALSE1856 hasnodata is assumed to be TRUE 1857 1857 1858 1858 6. ST_ApproxHistogram(rast raster, nband int) -> set of records … … 1870 1870 9. ST_ApproxHistogram(rast raster, nband int, sample_percent double precision, bins int, width double precision[], right boolean) -> set of records 1871 1871 1872 hasnodata is assumed to be FALSE1872 hasnodata is assumed to be TRUE 1873 1873 1874 1874 10. ST_ApproxHistogram(rast raster, nband int, sample_percent double precision, bins int, right boolean) -> set of records … … 1894 1894 nband: index of band to process on 1895 1895 1896 hasnodata: if FALSE, any pixel who's value is nodata is ignored.1896 hasnodata: if TRUE, any pixel who's value is nodata is ignored. 1897 1897 1898 1898 quantiles: array of percentages to compute values for … … 1908 1908 2. ST_Quantile(rast raster, nband int, quantiles double precision[]) -> set of records 1909 1909 1910 "hasnodata" is assumed to be FALSE1910 "hasnodata" is assumed to be TRUE 1911 1911 1912 1912 {{{ … … 1920 1920 4. ST_Quantile(rast raster, nband int) -> set of records 1921 1921 1922 "hasnodata" is assumed to be FALSE and "quantiles" assumed to be ARRAY[0, 0.25, 0.5, 0.75, 1]1922 "hasnodata" is assumed to be TRUE and "quantiles" assumed to be ARRAY[0, 0.25, 0.5, 0.75, 1] 1923 1923 1924 1924 5. ST_Quantile(rast raster, quantiles double precision[]) -> set of records 1925 1925 1926 "nband" is assumed to be 1 and "hasnodata" is FALSE1926 "nband" is assumed to be 1 and "hasnodata" is TRUE 1927 1927 1928 1928 6. ST_Quantile(rast raster) -> set of records … … 1936 1936 8. ST_Quantile(rast raster, nband int, quantile double precision) -> record 1937 1937 1938 "hasnodata" is assumed to be FALSE1938 "hasnodata" is assumed to be TRUE 1939 1939 1940 1940 9. ST_Quantile(rast raster, hasnodata boolean, quantile double precision) -> record … … 1944 1944 10. ST_Quantile(rast raster, quantile double precision) -> record 1945 1945 1946 "nband" is assumed to be 1 and "hasnodata" is assumed to be FALSE1946 "nband" is assumed to be 1 and "hasnodata" is assumed to be TRUE 1947 1947 1948 1948 ST_ApproxQuantile adds a "sample_percent" indicating the percentage of the raster to sample … … 1952 1952 nband: index of band to process on 1953 1953 1954 hasnodata: if FALSE, any pixel who's value is nodata is ignored1954 hasnodata: if TRUE, any pixel who's value is nodata is ignored 1955 1955 1956 1956 sample_percent: a value between 0 and 1 indicating the percentage of the raster band's pixels to consider when computing the quantiles … … 1968 1968 2. ST_ApproxQuantile(rast raster, nband int, sample_percent double precision, quantiles double precision[]) -> set of records 1969 1969 1970 "hasnodata" is assumed to be FALSE1970 "hasnodata" is assumed to be TRUE 1971 1971 1972 1972 {{{ … … 1976 1976 3. ST_ApproxQuantile(rast raster, nband int, sample_percent double precision) -> set of records 1977 1977 1978 "hasnodata" is assumed to be FALSE and "quantiles" assumed to be ARRAY[0, 0.25, 0.5, 0.75, 1]1978 "hasnodata" is assumed to be TRUE and "quantiles" assumed to be ARRAY[0, 0.25, 0.5, 0.75, 1] 1979 1979 1980 1980 4. ST_ApproxQuantile(rast raster, sample_percent double precision, quantiles double precision[]) -> set of records
