gbdypi: ~~ data name/kind ... ~~

In geo: Draw and Annotate Maps, Especially Charts of the North Atlantic

Description

~~ A concise (1-5 lines) description of the dataset. ~~

Usage

data(gbdypi)

Format

The format is: List of 58 $ 50 :'data.frame': 230274 obs. of 2 variables: ..$ lat: num [1:230274] 50.0 50.0 49.9 49.9 49.9 ... ..$ lon: num [1:230274] -67 -67 -67 -67 -67 ... $ 100 :'data.frame': 19190 obs. of 2 variables: ..$ lat: num [1:19190] 56.4 56.4 56.5 56.5 56.6 ... ..$ lon: num [1:19190] 0.692 0.728 0.755 0.773 0.764 0.764 0.809 0.827 0.827 0.8 ... $ 150 :'data.frame': 542 obs. of 2 variables: ..$ lat: num [1:542] 63.6 63.6 63.6 63.6 63.6 ... ..$ lon: num [1:542] -79.5 -79.4 -79.4 -79.5 -79.5 ... $ 200 :'data.frame': 29665 obs. of 2 variables: ..$ lat: num [1:29665] 61.6 61.6 61.6 61.6 61.6 ... ..$ lon: num [1:29665] 0.000 0.125 0.198 0.377 0.503 ... $ 300 :'data.frame': 10172 obs. of 2 variables: ..$ lat: num [1:10172] 58.5 58.6 58.6 58.7 58.7 ... ..$ lon: num [1:10172] 18.3 18.3 18.4 18.4 18.4 ... $ 400 :'data.frame': 7201 obs. of 2 variables: ..$ lat: num [1:7201] 71.4 71.3 71.3 71.3 71.3 ... ..$ lon: num [1:7201] 23.1 23.2 23.2 23.3 23.4 ... $ 500 :'data.frame': 16679 obs. of 2 variables: ..$ lat: num [1:16679] 58.5 58.5 58.4 58.4 58.4 ... ..$ lon: num [1:16679] 9.55 9.50 9.44 9.37 9.33 ... $ 600 :'data.frame': 3767 obs. of 2 variables: ..$ lat: num [1:3767] 72.0 71.9 71.9 71.9 71.8 ... ..$ lon: num [1:3767] 15.7 15.6 15.6 15.6 15.6 ... $ 700 :'data.frame': 3539 obs. of 2 variables: ..$ lat: num [1:3539] 68.0 67.9 67.9 67.8 67.8 ... ..$ lon: num [1:3539] 10.15 10.06 10.03 9.96 9.85 ... $ 800 :'data.frame': 3083 obs. of 2 variables: ..$ lat: num [1:3083] 72.0 71.9 71.9 71.8 71.8 ... ..$ lon: num [1:3083] 15.3 15.4 15.4 15.4 15.4 ... $ 900 :'data.frame': 2926 obs. of 2 variables: ..$ lat: num [1:2926] 62.3 62.3 62.3 62.4 62.4 ... ..$ lon: num [1:2926] 0 0.099 0.153 0.225 0.261 0.323 0.422 0.503 0.782 0.953 ... $ 1000:'data.frame': 14869 obs. of 2 variables: ..$ lat: num [1:14869] 72.0 72.0 71.9 71.9 71.8 ... ..$ lon: num [1:14869] 15.2 15.2 15.2 15.2 15.2 ... $ 1100:'data.frame': 3320 obs. of 2 variables: ..$ lat: num [1:3320] 72.0 72.0 71.9 71.9 71.9 ... ..$ lon: num [1:3320] 15.0 15.1 15.1 15.1 15.1 ... $ 1200:'data.frame': 3159 obs. of 2 variables: ..$ lat: num [1:3159] 62.7 62.8 62.9 63.0 63.0 ... ..$ lon: num [1:3159] 0.000 0.359 0.665 0.917 1.015 ... $ 1300:'data.frame': 3240 obs. of 2 variables: ..$ lat: num [1:3240] 71.3 71.3 71.4 71.5 71.5 ... ..$ lon: num [1:3240] 15.9 15.9 15.6 15.5 15.5 ... $ 1400:'data.frame': 3330 obs. of 2 variables: ..$ lat: num [1:3330] 63 63 63 63 63 ... ..$ lon: num [1:3330] 0.000 0.051 0.099 0.234 0.377 ... $ 1500:'data.frame': 17624 obs. of 2 variables: ..$ lat: num [1:17624] 63.1 63.1 63.2 63.2 63.2 ... ..$ lon: num [1:17624] 0 0.085 0.279 0.476 0.575 0.665 0.755 0.8 0.872 0.926 ... $ 1600:'data.frame': 3328 obs. of 2 variables: ..$ lat: num [1:3328] 71.7 71.6 71.6 71.5 71.5 ... ..$ lon: num [1:3328] 14.1 14.2 14.3 14.4 14.5 ... $ 1700:'data.frame': 2915 obs. of 2 variables: ..$ lat: num [1:2915] 68.8 68.7 68.7 68.7 68.6 ... ..$ lon: num [1:2915] 12.3 12.1 12.0 11.7 11.5 ... $ 1800:'data.frame': 2862 obs. of 2 variables: ..$ lat: num [1:2862] 71.4 71.4 71.5 71.5 71.5 ... ..$ lon: num [1:2862] 14.5 14.5 14.4 14.3 14.3 ... $ 1900:'data.frame': 2729 obs. of 2 variables: ..$ lat: num [1:2729] 68.8 68.8 68.8 68.7 68.7 ... ..$ lon: num [1:2729] 12.3 12.2 12.0 11.9 11.8 ... $ 2000:'data.frame': 20392 obs. of 2 variables: ..$ lat: num [1:20392] 72.0 72.0 72.0 71.9 71.8 ... ..$ lon: num [1:20392] 11.8 11.9 12.0 12.2 12.3 ... $ 2100:'data.frame': 2585 obs. of 2 variables: ..$ lat: num [1:2585] 71.8 71.8 71.8 71.9 71.9 ... ..$ lon: num [1:2585] 0 0 0.081 0.126 0.234 0.35 0.485 0.548 0.602 0.818 ... $ 2200:'data.frame': 3086 obs. of 2 variables: ..$ lat: num [1:3086] 63.7 63.7 63.7 63.8 63.9 ... ..$ lon: num [1:3086] 0.000 0.095 0.216 0.350 0.746 ... $ 2300:'data.frame': 2307 obs. of 2 variables: ..$ lat: num [1:2307] 72.0 72.0 71.9 71.9 71.9 ... ..$ lon: num [1:2307] 2.68 2.65 2.52 2.41 2.35 ... $ 2400:'data.frame': 2604 obs. of 2 variables: ..$ lat: num [1:2604] 64 64 64 64 64 ... ..$ lon: num [1:2604] 0.000 0.037 0.054 0.198 0.306 ... $ 2500:'data.frame': 20827 obs. of 2 variables: ..$ lat: num [1:20827] 72.0 72.0 72.0 71.9 71.9 ... ..$ lon: num [1:20827] 2.96 2.93 2.84 2.75 2.63 ... $ 2600:'data.frame': 2318 obs. of 2 variables: ..$ lat: num [1:2318] 64.3 64.4 64.4 64.4 64.5 ... ..$ lon: num [1:2318] 0.000 0.153 0.297 0.512 0.683 ... $ 2700:'data.frame': 2637 obs. of 2 variables: ..$ lat: num [1:2637] 66.7 66.8 66.8 66.8 66.9 ... ..$ lon: num [1:2637] 1.16 1.14 1.14 1.13 1.10 ... $ 2800:'data.frame': 2381 obs. of 2 variables: ..$ lat: num [1:2381] 69.7 69.6 69.5 69.5 69.5 ... ..$ lon: num [1:2381] 13.2 13.3 13.4 13.5 13.5 ... $ 2900:'data.frame': 2081 obs. of 2 variables: ..$ lat: num [1:2081] 64.9 64.9 64.9 64.9 64.9 ... ..$ lon: num [1:2081] 0.899 0.944 1.042 1.105 1.204 ... $ 3000:'data.frame': 26220 obs. of 2 variables: ..$ lat: num [1:26220] 68.6 68.6 68.6 68.6 68.6 ... ..$ lon: num [1:26220] 0 0.017 0.056 0.105 0.125 0.056 0.012 0 NA 0 ... $ 3100:'data.frame': 2390 obs. of 2 variables: ..$ lat: num [1:2390] 69.2 69.2 69.2 69.1 69.1 ... ..$ lon: num [1:2390] 8.68 8.60 8.45 8.30 8.17 ... $ 3200:'data.frame': 2502 obs. of 2 variables: ..$ lat: num [1:2502] 66.4 66.4 66.4 66.5 66.5 ... ..$ lon: num [1:2502] 0 0.149 0.243 0.44 0.557 0.701 0.755 0.818 0.827 0.818 ... $ 3300:'data.frame': 2584 obs. of 2 variables: ..$ lat: num [1:2584] 66.6 66.6 66.6 66.7 66.7 ... ..$ lon: num [1:2584] 0 0.144 0.359 0.548 0.665 0.71 0.728 0.737 0.755 0.764 ... $ 3400:'data.frame': 2284 obs. of 2 variables: ..$ lat: num [1:2284] 66.7 66.7 66.8 66.8 66.8 ... ..$ lon: num [1:2284] 0 0.252 0.431 0.512 0.602 0.656 0.719 0.782 0.782 0.692 ... $ 3500:'data.frame': 19560 obs. of 2 variables: ..$ lat: num [1:19560] 67.8 67.8 67.8 67.8 67.8 ... ..$ lon: num [1:19560] 0 0.002 0.017 0.027 0.036 0.045 0.081 0.162 0.198 0.189 ... $ 3600:'data.frame': 2368 obs. of 2 variables: ..$ lat: num [1:2368] 66.9 66.8 66.9 66.9 66.9 ... ..$ lon: num [1:2368] 0 0.164 0.243 0.306 0.368 0.449 0.503 0.521 0.53 0.53 ... $ 3700:'data.frame': 1811 obs. of 2 variables: ..$ lat: num [1:1811] 67.2 67.2 67.2 67.2 67.2 ... ..$ lon: num [1:1811] 0 0.022 0.09 0.173 0.203 0.243 0.341 0.395 0.404 0.395 ... $ 3800:'data.frame': 1503 obs. of 2 variables: ..$ lat: num [1:1503] 64.8 64.8 64.8 64.9 65.0 ... ..$ lon: num [1:1503] -6.35 -6.35 -6.32 -6.15 -6.00 ... $ 3900:'data.frame': 975 obs. of 2 variables: ..$ lat: num [1:975] 52.3 52.3 52.3 52.4 52.4 ... ..$ lon: num [1:975] -44.9 -45.0 -45.0 -45.0 -45.0 ... $ 4000:'data.frame': 18891 obs. of 2 variables: ..$ lat: num [1:18891] 52.8 52.8 52.8 52.8 52.8 ... ..$ lon: num [1:18891] -36.7 -36.6 -36.6 -36.7 -36.8 ... $ 4100:'data.frame': 1402 obs. of 2 variables: ..$ lat: num [1:1402] 52.8 52.8 52.8 52.8 52.9 ... ..$ lon: num [1:1402] -22.1 -22.0 -22.0 -22.0 -22.0 ... $ 4200:'data.frame': 1165 obs. of 2 variables: ..$ lat: num [1:1165] 52.6 52.6 52.6 52.7 52.7 ... ..$ lon: num [1:1165] -22.7 -22.7 -22.7 -22.7 -22.7 ... $ 4300:'data.frame': 1266 obs. of 2 variables: ..$ lat: num [1:1266] 51 51 51 51 51 ... ..$ lon: num [1:1266] -43.0 -43.1 -43.1 -43.3 -43.4 ... $ 4400:'data.frame': 1143 obs. of 2 variables: ..$ lat: num [1:1143] 50.1 50.2 50.2 50.3 50.3 ... ..$ lon: num [1:1143] -42.6 -42.6 -42.6 -42.7 -42.7 ... $ 4500:'data.frame': 13192 obs. of 2 variables: ..$ lat: num [1:13192] 47.5 47.5 47.5 47.5 47.5 ... ..$ lon: num [1:13192] -40.5 -40.5 -40.6 -40.7 -40.7 ... $ 4600:'data.frame': 2175 obs. of 2 variables: ..$ lat: num [1:2175] 47.4 47.4 47.4 47.5 47.5 ... ..$ lon: num [1:2175] -18.6 -18.6 -18.6 -18.6 -18.6 ... $ 4700:'data.frame': 2033 obs. of 2 variables: ..$ lat: num [1:2033] 47.4 47.4 47.4 47.4 47.5 ... ..$ lon: num [1:2033] -14.8 -14.8 -14.9 -14.9 -14.9 ... $ 4800:'data.frame': 1759 obs. of 2 variables: ..$ lat: num [1:1759] 47.4 47.4 47.5 47.5 47.5 ... ..$ lon: num [1:1759] -14.8 -14.8 -14.8 -14.8 -14.8 ... $ 4900:'data.frame': 903 obs. of 2 variables: ..$ lat: num [1:903] 48.3 48.3 48.3 48.3 48.3 ... ..$ lon: num [1:903] -17.6 -17.6 -17.6 -17.6 -17.6 ... $ 5000:'data.frame': 10557 obs. of 2 variables: ..$ lat: num [1:10557] 35.8 35.8 35.9 35.9 35.9 ... ..$ lon: num [1:10557] -63.4 -63.3 -63.3 -63.2 -63.2 ... $ 5100:'data.frame': 1472 obs. of 2 variables: ..$ lat: num [1:1472] 35.6 35.6 35.6 35.8 35.8 ... ..$ lon: num [1:1472] -55.0 -54.9 -54.9 -54.8 -54.8 ... $ 5200:'data.frame': 1172 obs. of 2 variables: ..$ lat: num [1:1172] 35.5 35.5 35.6 35.7 35.8 ... ..$ lon: num [1:1172] -55.0 -54.9 -54.9 -54.9 -54.8 ... $ 5300:'data.frame': 1029 obs. of 2 variables: ..$ lat: num [1:1029] 34.1 34.1 34.1 34.1 34.1 ... ..$ lon: num [1:1029] -21.4 -21.4 -21.3 -21.4 -21.4 ... $ 5400:'data.frame': 729 obs. of 2 variables: ..$ lat: num [1:729] 37.4 37.4 37.5 37.5 37.5 ... ..$ lon: num [1:729] -50.7 -50.6 -50.6 -50.7 -50.7 ... $ 5500:'data.frame': 2114 obs. of 2 variables: ..$ lat: num [1:2114] 40.7 40.7 40.7 40.8 40.8 ... ..$ lon: num [1:2114] -18.8 -18.8 -18.8 -18.8 -18.8 ... $ 6000:'data.frame': 21 obs. of 2 variables: ..$ lat: num [1:21] 32.0 32.0 32.0 32.0 31.9 ... ..$ lon: num [1:21] -50.0 -49.9 -49.9 -50.0 -50.1 ...

Details

~~ If necessary, more details than the __description__ above ~~

Source

~~ reference to a publication or URL from which the data were obtained ~~

References

~~ possibly secondary sources and usages ~~

Examples

data(gbdypi)
## maybe str(gbdypi) ; plot(gbdypi) ...

geo documentation built on May 2, 2019, 5:22 p.m.