Custom Query (1118 matches)
Results (25 - 27 of 1118)
Ticket | Resolution | Summary | Owner | Reporter |
---|---|---|---|---|
#1889 | fixed | backdrop image for 10.5 | ||
Description |
Action item for release |
|||
#2109 | fixed | Update presentation for 12.0 | ||
Description |
We need to update the presentation with "what is new in 12.0" and make sure the correct applications show up in the slides. |
|||
#998 | fixed | R demo portion fails, add more geo packages | ||
Description |
due to a missing dependency maps > library(gstat) > demo(wind) demo(wind) ---- ~~~~ Type <Return> to start : > #pdf("wind.pdf") > library(gstat) > library(rgdal) Geospatial Data Abstraction Library extensions to R successfully loaded Loaded GDAL runtime: GDAL 1.9.1, released 2012/05/15 Path to GDAL shared files: /usr/share/gdal/1.9 Loaded PROJ.4 runtime: Rel. 4.7.1, 23 September 2009, [PJ_VERSION: 470] Path to PROJ.4 shared files: (autodetected) > library(maptools) Loading required package: foreign Checking rgeos availability: FALSE Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib, which has a restricted licence. It is disabled by default; to enable gpclib, type gpclibPermit() > # load wind data, run test: > example(wind) wind> data(wind) wind> summary(wind) year month day RPT Min. :61.0 Min. : 1.000 Min. : 1.00 Min. : 0.67 1st Qu.:65.0 1st Qu.: 4.000 1st Qu.: 8.00 1st Qu.: 8.12 Median :69.5 Median : 7.000 Median :16.00 Median :11.71 Mean :69.5 Mean : 6.523 Mean :15.73 Mean :12.36 3rd Qu.:74.0 3rd Qu.:10.000 3rd Qu.:23.00 3rd Qu.:15.92 Max. :78.0 Max. :12.000 Max. :31.00 Max. :35.80 VAL ROS KIL SHA Min. : 0.21 Min. : 1.50 Min. : 0.000 Min. : 0.13 1st Qu.: 6.67 1st Qu.: 8.00 1st Qu.: 3.580 1st Qu.: 6.75 Median :10.17 Median :10.92 Median : 5.750 Median : 9.96 Mean :10.65 Mean :11.66 Mean : 6.306 Mean :10.46 3rd Qu.:14.04 3rd Qu.:14.67 3rd Qu.: 8.420 3rd Qu.:13.54 Max. :33.37 Max. :33.84 Max. :28.460 Max. :37.54 BIR DUB CLA MUL Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. : 0.000 1st Qu.: 4.000 1st Qu.: 6.000 1st Qu.: 5.090 1st Qu.: 5.370 Median : 6.830 Median : 9.210 Median : 8.080 Median : 8.170 Mean : 7.092 Mean : 9.797 Mean : 8.494 Mean : 8.496 3rd Qu.: 9.670 3rd Qu.:12.960 3rd Qu.:11.420 3rd Qu.:11.210 Max. :26.160 Max. :30.370 Max. :31.080 Max. :25.880 CLO BEL MAL Min. : 0.040 Min. : 0.13 Min. : 0.67 1st Qu.: 5.330 1st Qu.: 8.71 1st Qu.:10.71 Median : 8.290 Median :12.50 Median :15.00 Mean : 8.707 Mean :13.12 Mean :15.60 3rd Qu.:11.630 3rd Qu.:16.88 3rd Qu.:19.83 Max. :28.210 Max. :42.38 Max. :42.54 wind> wind.loc Station Code Latitude Longitude MeanWind 1 Valentia VAL 51d56'N 10d15'W 5.48 2 Belmullet BEL 54d14'N 10d00'W 6.75 3 Claremorris CLA 53d43'N 8d59'W 4.32 4 Shannon SHA 52d42'N 8d55'W 5.38 5 Roche's Point RPT 51d48'N 8d15'W 6.36 6 Birr BIR 53d05'N 7d53'W 3.65 7 Mullingar MUL 53d32'N 7d22'W 4.38 8 Malin Head MAL 55d22'N 7d20'W 8.03 9 Kilkenny KIL 52d40'N 7d16'W 3.25 10 Clones CLO 54d11'N 7d14'W 4.48 11 Dublin DUB 53d26'N 6d15'W 5.05 12 Roslare ROS 52d16'56.791"N 6d21'25.056"W 6.00 wind> wind.loc$y = as.numeric(char2dms(as.character(wind.loc[["Latitude"]]))) wind> wind.loc$x = as.numeric(char2dms(as.character(wind.loc[["Longitude"]]))) wind> coordinates(wind.loc) = ~x+y wind> # fig 1: wind> ## No test: wind> if (require(mapdata)) { wind+ map("worldHires", xlim = c(-11,-5.4), ylim = c(51,55.5)) wind+ plot(wind.loc, add=TRUE, pch=16) wind+ text(coordinates(wind.loc), pos=1, label=wind.loc$Station) wind+ } Loading required package: mapdata wind> ## End(No test) wind> wind$time = ISOdate(wind$year+1900, wind$month, wind$day) wind> # time series of e.g. Dublin data: wind> plot(DUB~time, wind, type= 'l', ylab = "windspeed (knots)", main = "Dublin") Hit <Return> to see next plot: wind> # fig 2: wind> #wind = wind[!(wind$month == 2 & wind$day == 29),] wind> wind$jday = as.numeric(format(wind$time, '%j')) wind> windsqrt = sqrt(0.5148 * as.matrix(wind[4:15])) wind> Jday = 1:366 wind> windsqrt = windsqrt - mean(windsqrt) wind> daymeans = sapply(split(windsqrt, wind$jday), mean) wind> plot(daymeans ~ Jday) Hit <Return> to see next plot: wind> lines(lowess(daymeans ~ Jday, f = 0.1)) wind> # subtract the trend: wind> meanwind = lowess(daymeans ~ Jday, f = 0.1)$y[wind$jday] wind> velocity = apply(windsqrt, 2, function(x) { x - meanwind }) wind> # match order of columns in wind to Code in wind.loc: wind> pts = coordinates(wind.loc[match(names(wind[4:15]), wind.loc$Code),]) wind> # fig 3, but not really yet... wind> dists = spDists(pts, longlat=TRUE) wind> corv = cor(velocity) wind> sel = !(as.vector(dists) == 0) wind> plot(as.vector(corv[sel]) ~ as.vector(dists[sel]), wind+ xlim = c(0,500), ylim = c(.4, 1), xlab = "distance (km.)", wind+ ylab = "correlation") Hit <Return> to see next plot: wind> # plots all points twice, ignores zero distance wind> wind> # now really get fig 3: wind> ros = rownames(corv) == "ROS" wind> dists.nr = dists[!ros,!ros] wind> corv.nr = corv[!ros,!ros] wind> sel = !(as.vector(dists.nr) == 0) wind> plot(as.vector(corv.nr[sel]) ~ as.vector(dists.nr[sel]), pch = 3, wind+ xlim = c(0,500), ylim = c(.4, 1), xlab = "distance (km.)", wind+ ylab = "correlation") Hit <Return> to see next plot: wind> # add outlier: wind> points(corv[ros,!ros] ~ dists[ros,!ros], pch=16, cex=.5) wind> xdiscr = 1:500 wind> # add correlation model: wind> lines(xdiscr, .968 * exp(- .00134 * xdiscr)) > m = map2SpatialLines( + map("worldHires", xlim = c(-11,-5.4), ylim = c(51,55.5), plot=F)) Loading required package: maps Error in cbind(map$x, map$y) : could not find function "map" In addition: Warning messages: 1: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘mapdata’ 2: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘maps’ |
Note:
See TracQuery
for help on using queries.