我正在尝试选择一个经度和纬度范围（以及该范围内的所有网格单元），以基于每个（汇总）的Y轴值（降水量）绘制为x轴值（发射量）的函数那些网格单元。因此，假设我想汇总/平均这些网格单元的值，并将其绘制为函数x轴值。已针对y轴为每个网格单元计算的值对应于平均降水量，并且由每个网格单元的140个值组成。因此，该想法将是每个网格单元的第一个值的平均值，然后是每个网格单元的第二个值，然后是每个网格单元的第三个值的平均值……一直到每个网格单元的＃140值。这将产生140个值，将这些值绘制为单线图。包含这些y轴值的变量称为“ RCP1pctCO2Mean”，它是3维的，具有以下属性：
class : RasterBrick
dimensions : 64, 128, 8192, 140 (nrow, ncol, ncell, nlayers)
resolution : 2.8125, 2.789327 (x, y)
extent : -181.4062, 178.5938, -89.25846, 89.25846 (xmin, xmax, ymin,
ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
data source : in memory
names : layer.1, layer.2, layer.3, layer.4, layer.5,
layer.6, layer.7, layer.8, layer.9, layer.10, layer.11, layer.12,
layer.13, layer.14, layer.15, ...
min values : 0.5261063, 0.5625295, 0.5301681, 0.6019284, 0.5177065,
0.6775601, 0.5336965, 0.5213086, 0.5971723, 0.5305891, 0.5514522,
0.5481200, 0.4681806, 0.5437223, 0.5988844, ...
max values : 113.13776, 114.50780, 94.93643, 100.35409, 102.65459,
101.80622, 104.95480, 99.17839, 104.68667, 119.48342, 100.60391,
108.91896, 104.38969, 99.35735, 99.30752, ...
dput(head(RCP1pctCO2ModelMean,5))
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12.1573226928711, 12.3337669372559, 12.2943237304688, 12.3938110351563,
12.3535987854004, 12.2837997436523, 11.199015045166, 11.0299026489258,
11.4233680725098, 11.3639068603516, 10.776929473877, 15.9578018188477,
18.5940185546875, 16.6747985839844, 12.2459892272949, 11.7588233947754,
10.8550109863281, 9.30074844360352, 9.1522102355957, 9.23973083496094,
9.94997406005859, 21.4329086303711, 20.6476043701172, 20.4366928100586,
19.5227752685547, 18.6518371582031, 13.4605987548828, 13.7962448120117,
14.7393859863281, 14.0098480224609, 13.7022705078125, 13.8268768310547,
13.9131362915039, 14.1420150756836, 14.5985153198242, 15.3337585449219,
10.2976509094238, 10.6874450683594, 10.6152442932129, 10.3048629760742,
10.0026962280273, 10.8500930786133, 12.313077545166, 12.8156112670898,
12.4003845214844, 12.062833404541, 11.8806510925293, 11.9595237731934,
12.7401191711426, 13.2080368041992, 12.648217010498, 14.9934814453125,
16.2576446533203, 16.2247314453125, 15.6419891357422, 14.6681213378906,
10.2608001708984, 10.204532623291, 10.8466209411621, 10.8580635070801,
10.5870002746582, 12.5249855041504, 13.235661315918, 13.3415161132812,
13.2680938720703, 13.6001312255859, 10.9847831726074, 10.9526977539062,
12.1701835632324, 10.9867134094238, 9.62559356689453, 14.671305847168,
15.7670822143555, 16.5200897216797, 17.2838760375977, 18.5971923828125,
12.4218063354492, 11.5890487670898, 11.3723731994629, 11.5280731201172,
12.0742370605469, 11.0745147705078, 10.6635795593262, 10.507258605957,
10.358984375, 10.2047622680664, 11.231372833252, 11.1456260681152,
10.8480117797852, 10.3289199829102, 9.81418380737305, 13.1054672241211,
13.3634078979492, 13.6211837768555, 14.0335067749023, 13.8940582275391,
11.4586517333984, 11.3107444763184, 12.1839057922363, 11.6442543029785,
10.0313461303711, 11.5685440063477, 13.461506652832, 13.9238220214844,
12.9616546630859, 12.0961059570313, 15.3089569091797, 14.529133605957,
12.9434677124023, 11.6556198120117, 10.7868843078613, 13.7810775756836,
14.6285568237305, 14.3505905151367, 12.6306495666504, 11.0644081115723,
13.6406951904297, 13.0658325195313, 11.6025444030762, 10.8227111816406,
10.6873641967773, 14.1373397827148, 15.3703903198242, 16.4337646484375,
16.3727081298828, 16.0835571289062, 9.32263946533203, 9.81831588745117,
10.2201850891113, 10.4734298706055, 10.432006072998, 9.83030319213867,
9.97000503540039, 10.0799949645996, 10.1364440917969, 10.2572006225586,
11.0884750366211, 11.7081008911133, 11.6705154418945, 11.3407791137695,
10.8895950317383, 12.5218650817871, 14.0942642211914, 14.4718688964844,
13.89228515625, 13.6701507568359, 12.1981781005859, 12.0445930480957,
13.2136001586914, 12.3655586242676, 11.3412635803223, 12.4833915710449,
11.7754150390625, 11.693514251709, 12.1434707641602, 12.578157043457,
10.8240905761719, 10.6200454711914, 10.1548942565918, 9.93075942993164,
10.2509727478027, 15.1843124389648, 15.0255569458008, 14.8466598510742,
15.1112106323242, 16.322314453125, 13.0618423461914, 14.1408599853516,
13.0202850341797, 13.6123336791992, 14.1315383911133, 12.7721778869629,
12.7291236877441, 13.1240371704102, 13.9317779541016, 14.8634048461914,
11.2654998779297, 12.3573486328125, 13.258935546875, 12.5885932922363,
12.298176574707, 13.9735443115234, 14.5013107299805, 15.1036834716797,
15.3642013549805, 15.3964065551758, 11.2573120117187, 11.9989395141602,
12.0881286621094, 12.2077728271484, 12.2564170837402, 10.4119132995605,
10.5908760070801, 10.9370986938477, 10.9051147460937, 11.1913566589355,
12.3859100341797, 12.3887336730957, 13.8762435913086, 14.5053375244141,
14.3133880615234, 13.3645736694336, 12.5263206481934, 12.3438980102539,
12.354638671875, 13.1039337158203, 11.9940643310547, 11.8350044250488,
12.025373840332, 12.0098609924316, 12.8584075927734, 13.5398986816406,
13.7642166137695, 14.2189575195312, 14.8441345214844, 15.6326904296875,
14.128108215332, 13.0739379882812, 11.9704299926758, 11.3222679138184,
12.2943817138672, 13.596760559082, 13.6019485473633, 13.8898880004883,
14.744856262207, 15.6628112792969, 12.945686340332, 13.7123504638672,
...
.Dim = c(10L, 140L), .Dimnames = list(NULL,
c("layer.1", "layer.2", "layer.3", "layer.4", "layer.5",
"layer.6", "layer.7", "layer.8", "layer.9", "layer.10", "layer.11",
"layer.12", "layer.13", "layer.14", "layer.15", "layer.16",
"layer.17", "layer.18", "layer.19", "layer.20", "layer.21",
"layer.22", "layer.23", "layer.24", "layer.25", "layer.26",
"layer.27", "layer.28", "layer.29", "layer.30", "layer.31",
"layer.32", "layer.33", "layer.34", "layer.35", "layer.36",
"layer.37", "layer.38", "layer.39", "layer.40", "layer.41",
"layer.42", "layer.43", "layer.44", "layer.45", "layer.46",
"layer.47", "layer.48", "layer.49", "layer.50", "layer.51",
"layer.52", "layer.53", "layer.54", "layer.55", "layer.56",
"layer.57", "layer.58", "layer.59", "layer.60", "layer.61",
"layer.62", "layer.63", "layer.64", "layer.65", "layer.66",
"layer.67", "layer.68", "layer.69", "layer.70", "layer.71",
"layer.72", "layer.73", "layer.74", "layer.75", "layer.76",
"layer.77", "layer.78", "layer.79", "layer.80", "layer.81",
"layer.82", "layer.83", "layer.84", "layer.85", "layer.86",
"layer.87", "layer.88", "layer.89", "layer.90", "layer.91",
"layer.92", "layer.93", "layer.94", "layer.95", "layer.96",
"layer.97", "layer.98", "layer.99", "layer.100", "layer.101",
"layer.102", "layer.103", "layer.104", "layer.105", "layer.106",
"layer.107", "layer.108", "layer.109", "layer.110", "layer.111",
"layer.112", "layer.113", "layer.114", "layer.115", "layer.116",
"layer.117", "layer.118", "layer.119", "layer.120", "layer.121",
"layer.122", "layer.123", "layer.124", "layer.125", "layer.126",
"layer.127", "layer.128", "layer.129", "layer.130", "layer.131",
"layer.132", "layer.133", "layer.134", "layer.135", "layer.136",
"layer.137", "layer.138", "layer.139", "layer.140")))
对于x轴，我已经有140个值要绘制。 x变量称为“ RCP1pctCO2cumulative”，为一维。这些是值：
dput(RCP1pctCO2cumulative)
c(0, 0.00697490638121963, 0.0139075990766287, 0.021697436273098,
0.0302329704165459, 0.0389980841428041, 0.0486239280551672,
0.0591636016964912,
0.0698652867227793, 0.0806971430778503, 0.0917696304619312,
0.102874741703272,
0.115288959443569, 0.127942492067814, 0.140930585563183, 0.154951927065849,
0.169483987987041, 0.18332038372755, 0.197460225224495, 0.211912712454796,
0.227608525753021, 0.243575794994831, 0.257900005578995, 0.273098181188107,
0.288984017074108, 0.305822652578354, 0.321933174133301, 0.338437202572823,
0.356079193949699, 0.373604437708855, 0.389580103754997, 0.406976979970932,
0.423514771461487, 0.440741804242134, 0.459019854664803, 0.477243804931641,
0.494844323396683, 0.511731442809105, 0.529583910107613, 0.54879242181778,
0.568029862642288, 0.587030050158501, 0.606201952695847, 0.626413214206696,
0.645859175920486, 0.66550235748291, 0.685490393638611, 0.705517685413361,
0.725719237327576, 0.74520371556282, 0.764879602193832, 0.78538470864296,
0.806885379552841, 0.827258145809174, 0.847640424966812, 0.869502395391464,
0.891108268499374, 0.912525850534439, 0.934271132946014, 0.956432664394379,
0.977902102470398, 0.999574398994446, 1.02313443422317, 1.0449088037014,
1.06765602231026, 1.09229186177254, 1.11614397168159, 1.13850414156914,
1.16062269210815, 1.18386173844337, 1.2078672170639, 1.23217906951904,
1.25505521297455, 1.27949770689011, 1.30394254922867, 1.32788743972778,
1.35124933719635, 1.37474408149719, 1.39838930368423, 1.42129179239273,
1.44566521644592, 1.47075144052506, 1.49397988319397, 1.51616193056107,
1.54051134586334, 1.56606665849686, 1.59053231477737, 1.61592463254929,
1.64096541404724, 1.66613935232162, 1.69049085378647, 1.71510955095291,
1.73991868495941, 1.76491104364395, 1.79114699363708, 1.81589571237564,
1.84101955890656, 1.864857172966, 1.8899533867836, 1.91575677394867,
1.9422261595726, 1.96840007305145, 1.99298502206802, 2.01899757385254,
2.04547454118729, 2.07122528553009, 2.09852977991104, 2.12717348337173,
2.15352830886841, 2.17984690666199, 2.20684263706207, 2.23266286849976,
2.25915194749832, 2.28647100925446, 2.31463184356689, 2.34280925989151,
2.36965861320496, 2.39779574871063, 2.42558825016022, 2.45266799926758,
2.48168079853058, 2.50962221622467, 2.53702754974365, 2.56574511528015,
2.59377150535583, 2.62192821502686, 2.6505597114563, 2.68051118850708,
2.70983340740204, 2.73927145004272, 2.76805067062378, 2.79780313968658,
2.8272668838501, 2.85747616291046, 2.88714888095856, 2.91689431667328,
2.94743349552155, 2.97868416309357, 3.00965495109558, 3.03861720561981
我试图做这样的事情来开始：
expansion <- expand.grid(103:116, 3:16) #to specify a range of longitudes
and latitudes
lonlat <- extract(RCP1pctCO2Mean, expansion)
plot(RCP1pctCO2cumulative, lonlat, type="l",col="green", lwd="3",
xlab="Cumulative emissions (TtC)", ylab="One-day maximum precipitation
(mm/day)", main="Test model")
但这会产生错误：
Error in xy.coords(x, y, xlabel, ylabel, log) :
'x' and 'y' lengths differ
如果有帮助，以下是创建的新变量的尺寸：
dim(lonlat)
[1] 196 140
dim(expansion)
[1] 196 2
我做错了什么（长度似乎相同）？最终，目标是绘制140个值作为排放量的函数（即，一旦对每个选定的网格单元进行汇总，就将“ RCP1pctCO2平均值”作为“ RCP1pctCO2累积量”的函数）。仅选择“一个”特定的网格单元而不是网格单元的集合时，上述方法绝对可以正常工作。这对于网格单元格的集合有可能吗？
谢谢，我们将不胜感激！