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I was trying to use the solution offered here to find all the location from df which are within the 70 km distance from my point of interest userLocation=c(6.9,55.2), but it does not work properly !
df = structure(list(lng = c(6.2694184, 6.25737207, 6.23839104, 6.25844252,
6.22595901, 6.21351832, 6.2010845, 6.1886414, 6.1762058, 6.1637609,
6.15132287, 6.13887619, 6.12643637, 6.14361895, 6.16332364, 6.18302157,
6.2027276, 6.22242688, 6.24213488, 6.26842752, 6.26745135, 6.24518597,
6.26645948, 6.24420242, 6.22357831, 6.26548171, 6.24321746, 6.2226023,
6.20041884, 6.18070459, 6.16099845, 6.16716672, 6.17960629, 6.18686265,
6.2078525, 6.19203657, 6.20447434, 6.21691835, 6.2293537, 6.24179593,
6.26009321, 6.26448764, 6.2422317, 6.21927538, 6.20186455, 6.26350828,
6.24124514, 6.22028969, 6.26251321, 6.2402584, 6.23404584, 6.26153227,
6.22171658, 5.94065657, 6.10363006, 6.11606487, 6.12850589, 6.14093826,
6.15337749, 6.16582359, 6.17826103, 6.19070472, 6.20313974, 6.20009703,
5.96044213, 5.96988333, 5.98023582, 5.98966667, 5.99910246, 6.00003829,
6.00947365, 6.01889843, 6.02832882, 6.01983402, 6.02925771, 6.038687,
6.0481219, 6.05754688, 6.03963788, 6.04906608, 6.05848435, 6.06792377,
6.07735326, 6.08677283, 6.05941948, 6.06885218, 6.07829049, 6.08771889,
6.09713671, 6.10657633, 6.11600538, 6.07922538, 6.08864707, 6.10756108,
6.12000483, 6.13243993, 6.12019786, 6.14488189, 6.15733073, 6.16977091,
6.16621949, 6.13805015, 6.13652024, 5.941545, 6.20491484, 6.18423897,
6.17806466, 6.16355552, 6.15738696, 6.14558294, 6.14286638, 6.13670293,
6.12217027, 6.11601258, 6.10148275, 6.09533146, 6.08080511, 6.07464337,
6.06011984, 6.03729438, 6.05394895, 6.02546329, 6.0136389, 6.03674112,
6.05743408, 6.07812006, 6.09879971, 6.11948795, 6.11063647, 6.08914275,
6.08440881, 6.0018212, 6.02491713, 5.98999461, 6.01308427, 5.97815849,
6.00125809, 5.96632973, 5.98943792, 5.9995124, 6.02119838, 6.04364466,
6.0223476, 6.04560587, 6.03821257, 6.06131821, 6.06046748, 5.97888909,
5.95766873, 6.24771247, 6.04931495, 6.25538943, 6.23227728, 6.25434093,
6.25329159, 6.25225759, 6.25120656, 6.25015469, 6.24911757, 6.06338238,
6.08539205, 6.10756976, 6.12975108, 6.15193667, 6.17411029, 6.19630377,
6.21848591, 6.22602495, 6.23123663, 6.20931486, 6.23019515, 6.20826628,
6.22915282, 6.20721685, 6.22810966, 6.21962063, 6.20209266, 6.20618216,
6.19702482, 6.1799057, 6.15772301, 6.13554395, 6.11336914, 6.09118237,
6.09738412, 6.11958004, 6.12698723, 6.14767387, 6.16835417, 6.18613747,
6.185096, 6.165456, 6.14476821, 6.15765091, 6.23561071, 6.08001353,
6.22353732, 6.2376767, 6.21143885, 6.19936347, 6.18727866, 6.17520066,
6.16311385, 6.15103386, 6.13894506, 6.12686243, 6.11478725, 6.10270261,
6.09818625, 6.12128852, 6.2468456, 6.22571713, 6.24558662, 6.22445138,
6.24434288, 6.22320086, 6.24308194, 6.22194875, 6.24182062, 6.22068065,
6.24057332, 6.21942655, 6.2113264, 6.22341814, 6.19699748, 6.18490568,
6.1988361, 6.17283631, 6.16074252, 6.14867115, 6.13657473, 6.13954049,
6.16263694, 6.18482009, 6.20327221, 6.20009595, 6.19278885, 6.17005571
), lat = c(54.67598304, 54.83924292, 54.83162024, 54.82483795,
54.82033259, 54.80904336, 54.79775292, 54.78646988, 54.77517665,
54.76389082, 54.75260377, 54.74131515, 54.73002531, 54.72096456,
54.71392047, 54.70687309, 54.69983176, 54.69278713, 54.68573957,
54.68934722, 54.7027117, 54.69910571, 54.71606682, 54.71246092,
54.70614626, 54.72943123, 54.72582507, 54.71951053, 54.71576339,
54.72280423, 54.72985112, 54.74274399, 54.75402944, 54.73569581,
54.72983408, 54.7653223, 54.77660496, 54.78789538, 54.79918423,
54.81047187, 54.80230996, 54.74279524, 54.73918917, 54.74155047,
54.75043676, 54.75615956, 54.75255324, 54.75849353, 54.76951451,
54.76590829, 54.77879358, 54.78287875, 54.84106585, 54.79004116,
54.73264696, 54.7439301, 54.755221, 54.76651031, 54.77779842,
54.78908531, 54.80037062, 54.81166369, 54.82295519, 54.83631649,
54.78306731, 54.79535153, 54.77609951, 54.7883729, 54.80065457,
54.76912877, 54.78140068, 54.7936805, 54.80595963, 54.7621547,
54.77443373, 54.78671208, 54.79898973, 54.81126633, 54.75518666,
54.76746422, 54.77974071, 54.7920169, 54.80429202, 54.81656608,
54.74821493, 54.76049101, 54.7727664, 54.78504073, 54.79732298,
54.80959594, 54.82187682, 54.74124062, 54.75351485, 54.76118719,
54.77247897, 54.78376916, 54.79513973, 54.79505815, 54.80634591,
54.8176321, 54.8309898, 54.82587825, 54.81251828, 54.80340625,
54.85043439, 54.85669012, 54.84379843, 54.8629602, 54.85006754,
54.83850747, 54.86921769, 54.85633303, 54.87548056, 54.86259492,
54.88174916, 54.86885358, 54.88800555, 54.8751176, 54.89427628,
54.89688611, 54.88137801, 54.88534048, 54.87379377, 54.87235508,
54.86608859, 54.85982748, 54.85356275, 54.84730376, 54.83491117,
54.82992904, 54.84309445, 54.86224596, 54.86080945, 54.85069668,
54.84926234, 54.8391549, 54.83771415, 54.82760306, 54.82617384,
54.81401612, 54.81866848, 54.82193287, 54.83203, 54.85454492,
54.8418856, 54.84463218, 54.83126946, 54.807705, 54.81314447,
54.95082492, 54.90870481, 54.85261135, 54.8544958, 54.86597391,
54.87933643, 54.89269028, 54.90605271, 54.91941509, 54.93277779,
54.91930405, 54.92337651, 54.92712528, 54.93087901, 54.93462874,
54.93838307, 54.94213376, 54.94588009, 54.93325056, 54.86785843,
54.86365241, 54.88122101, 54.87701472, 54.89458354, 54.890377,
54.90794604, 54.9204011, 54.92916856, 54.90373959, 54.91606989,
54.92541899, 54.92166542, 54.91791682, 54.91416421, 54.91041621,
54.89753741, 54.90128459, 54.88863077, 54.8823668, 54.87609923,
54.88468492, 54.89804726, 54.89094652, 54.89720452, 54.90830415,
55.08370977, 54.93641839, 55.07226944, 55.06170442, 55.06083624,
55.04939327, 55.03795778, 55.02652115, 55.01508302, 55.00364374,
54.99220296, 54.98077001, 54.96932695, 54.95789135, 54.94469353,
54.94333719, 54.96418243, 54.9585686, 54.97754901, 54.9719349,
54.99090692, 54.98529252, 55.00427341, 54.99865908, 55.01763087,
55.01201625, 55.03099761, 55.02538271, 55.03790915, 55.04934232,
55.02208092, 55.01064489, 54.99998971, 54.99920808, 54.98776941,
54.97632995, 54.9648976, 54.95153594, 54.95007267, 54.95382515,
54.96186591, 54.98662348, 54.97394968, 54.97118391)), class = "data.frame", row.names = c(NA,
-238L))
What I have done is as follow :
Add the point of interest to the beginning of df
df = rbind(userLocation,df)
Set the radius to 0.64 since according to here, every 0.1 is equivalent to 11.1 km !
radius <- 0.64
#Identifying neighbors
res <- nn2(df, k=nrow(df), searchtype="radius", radius = radius)
Since my point of interest is the first row in df I would expect all the non zero index in the first row are the points within my 70 km threshold
Ind <- res$nn.idx[1,][res$nn.idx[1,]>0]
My Ind object has just one value!
Ind
[1] 1
but if I plot the data, all of the points are within 70 km distance :
I would appreciate it if someone could help me here.
I have two polygons
coords1[,1]
-15.99719 -16.01133 -16.04000 -16.08308 -16.14041 -16.21175 -16.29681 -16.39525 -16.50668 -16.63064 -16.76664 -16.91413 -17.07252 -17.24116 -17.41939 -17.60647 -17.80166 -18.00417 -18.21319 -18.42788 -18.64736 -18.87076 -19.09718 -19.32570 -19.55541 -19.78538 -20.01468 -20.24240 -20.46760 -20.68940 -20.90688 -21.11919 -21.32546 -21.52486 -21.71659 -21.89988 -22.07399 -22.23822 -22.39191 -22.53443 -22.66522 -22.78374 -22.88953 -22.98215 -23.06124 -23.12646 -23.17757 -23.21435 -23.23666 -23.24441 -23.23756 -23.21615 -23.18025 -23.13002 -23.06566 -22.98742 -22.89562 -22.79063 -22.67288 -22.54283 -22.40101 -22.24800 -22.08440 -21.91088 -21.72813 -21.53690 -21.33795 -21.13208-20.92012 -20.70293 -20.48137 -20.25635 -20.02876 -19.79953 -19.56958 -19.33983 -19.11120 -18.88463 -18.66102 -18.44127 -18.22626 -18.01687 -17.81393 -17.61826 -17.43066 -17.25187 -17.08262 -16.92358 -16.77540 -16.63868 -16.51396 -16.40174 -16.30249 -16.21659 -16.14440 -16.08620 -16.04224 -16.01268 -15.99764 -15.99719
coords1[,2]
6.225418 6.262789 6.300443 6.338229 6.375996 6.413591 6.450863 6.487662 6.523839 6.559250 6.593750 6.627202 6.659471 6.690426 6.719943 6.747904 6.774196 6.798712 6.821354 6.842031 6.860660 6.877166 6.891481 6.903550 6.913322 6.920758 6.925830 6.928515 6.928804 6.926696 6.922198 6.915329 6.906116 6.894597 6.880818 6.864834 6.846711 6.826520 6.804343 6.780269 6.754396 6.726828 6.697675 6.667055 6.635091 6.601912 6.567652 6.532448 6.496442 6.459780 6.422608 6.385077 6.347338 6.309542 6.271842 6.234389 6.197335 6.160829 6.125017 6.090044 6.056051 6.023174 5.991546 5.961295 5.932541 5.905401 5.879985 5.856394 5.834723 5.815060 5.797484 5.782066 5.768867 5.757941 5.749333 5.743075 5.739195 5.737707 5.738617 5.741922 5.747609 5.755654 5.766025 5.778680 5.793569 5.810631 5.829798 5.850993 5.874129 5.899115 5.925849 5.954224 5.984126 6.015434 6.048021 6.081758 6.116508 6.152130 6.188483 6.225418
coords1.sys[,1]
-17.27076 -17.28943 -17.32370 -17.37346 -17.43849 -17.51853 -17.61326 -17.72229 -17.84520 -17.98148 -18.13059 -18.29192 -18.46483 -18.64862 -18.84254 -19.04583 -19.25765 -19.47717 -19.70348 -19.93569 -20.17285 -20.41402 -20.65821 -20.90445 -21.15175 -21.39911 -21.64554 -21.89003 -22.13161 -22.36931 -22.60216 -22.82924 -23.04962 -23.26241 -23.46677 -23.66187 -23.84692 -24.02117 -24.18394 -24.33455 -24.47241 -24.59695 -24.70769 -24.80416 -24.88599 -24.95284 -25.00445 -25.04060 -25.06116 -25.06603 -25.05520 -25.02871 -24.98667 -24.92926 -24.85668 -24.76926 -24.66732 -24.55129 -24.42163 -24.27886 -24.12357 -23.95636 -23.77792 -23.58897 -23.39027 -23.18261 -22.96683 -22.74380 -22.51443 -22.27962 -22.04034 -21.79754 -21.55219 -21.30530 -21.05785 -20.81083 -20.56525 -20.32209 -20.08233 -19.84693 -19.61685 -19.39301 -19.17632 -18.96763 -18.76781 -18.57764 -18.39789 -18.22930 -18.07253 -17.92822
-17.79696 -17.67926 -17.57560 -17.48640 -17.41203 -17.35277 -17.30887 -17.28050 -17.26778 -17.27076
coords1.sys[,2]
6.465179 6.538004 6.611223 6.684541 6.757663 6.830295 6.902143 6.972919 7.042338 7.110120 7.175992 7.239689 7.300955 7.359542 7.415215 7.467750 7.516935 7.562573 7.604478 7.642483 7.676435 7.706197 7.731648 7.752688 7.769230 7.781208 7.788574 7.791299 7.789371 7.782798 7.771606 7.755841 7.735567 7.710864 7.681832 7.648589 7.611267 7.570018 7.525007 7.476416 7.424440 7.369288 7.311183 7.250359 7.187060 7.121542 7.054068 6.984910 6.914346 6.842661 6.770143 6.697084 6.623779 6.550522 6.477608 6.405332 6.333984 6.263851 6.195216 6.128355 6.063538 6.001025 5.941069 5.883910 5.829778 5.778892 5.731457 5.687664 5.647688 5.611692 5.579819 5.552199 5.528941 5.510141 5.495874 5.486197 5.481149 5.480751 5.485003 5.493890 5.507375 5.525404 5.547904 5.574784 5.605938 5.641238 5.680543 5.723695 5.770520 5.820829 5.874419 5.931076 5.990571 6.052663 6.117104 6.183634 6.251984 6.321880 6.393041 6.465179
plot(1,1,ylim=c(0,15),xlim=c(-30,-10), t="n", xlab="", ylab="")
polygon(coords1[,1], coords1[,2], border=2,col=alpha("red",0.5))
polygon(coords1.sys[,1], coords1.sys[,2], border=2,col=alpha("black",0.5))
I am trying to calculate the percent overlap, as shown using gArea and gIntersection here.
kt.small.g=data.frame(coords1[,1], coords1[,2])
names(kt.small.g)=c("x","y")
summary(kt.small.g)
kt.small.s=data.frame(coords1.sys[,1], coords1.sys[,2])
names(kt.small.s)=c("x","y")
kt.small.g_pol <- Polygons(list(Polygon(kt.small.g)), "small.g")
kt.small.s_pol <- Polygons(list(Polygon(kt.small.s)), "small.s")
kt.small.g_area <- gArea(shape["small.g"])
kt.small.intersections <- gIntersection(shape["small.g"], shape["small.s"])
but after running kt.small.g_area <- gArea(shape["small.g"]) or kt.small.intersections <- gIntersection(shape["small.g"], shape["small.s"]) I get the error:
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'obj' in selecting a method for function 'is.projected': NAs not permitted in row index
I have run through the code in the linked example without error. I have checked my data for NAs, parallel structure to the example, and tried to change the names in shape[] to smaller strings or strings without "." and I still get the same error.
Thank you for your help.
Not sure what percentage you're after, but all of the areas are listed below for you to do the math on.
The following solution uses the sf library to work with the spatial objects.
If you're working with sp objects (SpatialPolygonsDataframes, etc), they can usually be changed to sf using as(x, 'sf').
library(dplyr)
library(ggplot2)
library(sf)
# Cleaning your data pasted from SO
poly1_x <- as.numeric(c("-15.99719", "-16.01133", "-16.04000", "-16.08308", "-16.14041", "-16.21175", "-16.29681", "-16.39525", "-16.50668", "-16.63064", "-16.76664", "-16.91413", "-17.07252", "-17.24116", "-17.41939", "-17.60647", "-17.80166", "-18.00417", "-18.21319", "-18.42788", "-18.64736", "-18.87076", "-19.09718", "-19.32570", "-19.55541", "-19.78538", "-20.01468", "-20.24240", "-20.46760", "-20.68940", "-20.90688", "-21.11919", "-21.32546", "-21.52486", "-21.71659", "-21.89988", "-22.07399", "-22.23822", "-22.39191", "-22.53443", "-22.66522", "-22.78374", "-22.88953", "-22.98215", "-23.06124", "-23.12646", "-23.17757", "-23.21435", "-23.23666", "-23.24441", "-23.23756", "-23.21615", "-23.18025", "-23.13002", "-23.06566", "-22.98742", "-22.89562", "-22.79063", "-22.67288", "-22.54283", "-22.40101", "-22.24800", "-22.08440", "-21.91088", "-21.72813", "-21.53690", "-21.33795", "-21.13208","-20.92012", "-20.70293", "-20.48137", "-20.25635", "-20.02876", "-19.79953", "-19.56958", "-19.33983", "-19.11120", "-18.88463", "-18.66102", "-18.44127", "-18.22626", "-18.01687", "-17.81393", "-17.61826", "-17.43066", "-17.25187", "-17.08262", "-16.92358", "-16.77540", "-16.63868", "-16.51396", "-16.40174", "-16.30249", "-16.21659", "-16.14440", "-16.08620", "-16.04224", "-16.01268", "-15.99764", "-15.99719"))
poly1_y <- c(6.225418, 6.262789, 6.300443, 6.338229, 6.375996, 6.413591, 6.450863, 6.487662, 6.523839, 6.55925, 6.59375, 6.627202, 6.659471, 6.690426, 6.719943, 6.747904, 6.774196, 6.798712, 6.821354, 6.842031, 6.86066, 6.877166, 6.891481, 6.90355, 6.913322, 6.920758, 6.92583, 6.928515, 6.928804, 6.926696, 6.922198, 6.915329, 6.906116, 6.894597, 6.880818, 6.864834, 6.846711, 6.82652, 6.804343, 6.780269, 6.754396, 6.726828, 6.697675, 6.667055, 6.635091, 6.601912, 6.567652, 6.532448, 6.496442, 6.45978, 6.422608, 6.385077, 6.347338, 6.309542, 6.271842, 6.234389, 6.197335, 6.160829, 6.125017, 6.090044, 6.056051, 6.023174, 5.991546, 5.961295, 5.932541, 5.905401, 5.879985, 5.856394, 5.834723, 5.81506, 5.797484, 5.782066, 5.768867, 5.757941, 5.749333, 5.743075, 5.739195, 5.737707, 5.738617, 5.741922, 5.747609, 5.755654, 5.766025, 5.77868, 5.793569, 5.810631, 5.829798, 5.850993, 5.874129, 5.899115, 5.925849, 5.954224, 5.984126, 6.015434, 6.048021, 6.081758, 6.116508, 6.15213, 6.188483, 6.225418)
poly2_x <- c("-17.27076 -17.28943 -17.32370 -17.37346 -17.43849 -17.51853 -17.61326 -17.72229 -17.84520 -17.98148 -18.13059 -18.29192 -18.46483 -18.64862 -18.84254 -19.04583 -19.25765 -19.47717 -19.70348 -19.93569 -20.17285 -20.41402 -20.65821 -20.90445 -21.15175 -21.39911 -21.64554 -21.89003 -22.13161 -22.36931 -22.60216 -22.82924 -23.04962 -23.26241 -23.46677 -23.66187 -23.84692 -24.02117 -24.18394 -24.33455 -24.47241 -24.59695 -24.70769 -24.80416 -24.88599 -24.95284 -25.00445 -25.04060 -25.06116 -25.06603 -25.05520 -25.02871 -24.98667 -24.92926 -24.85668 -24.76926 -24.66732 -24.55129 -24.42163 -24.27886 -24.12357 -23.95636 -23.77792 -23.58897 -23.39027 -23.18261 -22.96683 -22.74380 -22.51443 -22.27962 -22.04034 -21.79754 -21.55219 -21.30530 -21.05785 -20.81083 -20.56525 -20.32209 -20.08233 -19.84693 -19.61685 -19.39301 -19.17632 -18.96763 -18.76781 -18.57764 -18.39789 -18.22930 -18.07253 -17.92822 -17.79696 -17.67926 -17.57560 -17.48640 -17.41203 -17.35277 -17.30887 -17.28050 -17.26778 -17.27076")
poly2_x <- stringr::str_split(poly2_x, pattern = ' ') %>% unlist()
poly2_y <- c(6.465179, 6.538004, 6.611223, 6.684541, 6.757663, 6.830295, 6.902143, 6.972919, 7.042338, 7.11012, 7.175992, 7.239689, 7.300955, 7.359542, 7.415215, 7.46775, 7.516935, 7.562573, 7.604478, 7.642483, 7.676435, 7.706197, 7.731648, 7.752688, 7.76923, 7.781208, 7.788574, 7.791299, 7.789371, 7.782798, 7.771606, 7.755841, 7.735567, 7.710864, 7.681832, 7.648589, 7.611267, 7.570018, 7.525007, 7.476416, 7.42444, 7.369288, 7.311183, 7.250359, 7.18706, 7.121542, 7.054068, 6.98491, 6.914346, 6.842661, 6.770143, 6.697084, 6.623779, 6.550522, 6.477608, 6.405332, 6.333984, 6.263851, 6.195216, 6.128355, 6.063538, 6.001025, 5.941069, 5.88391, 5.829778, 5.778892, 5.731457, 5.687664, 5.647688, 5.611692, 5.579819, 5.552199, 5.528941, 5.510141, 5.495874, 5.486197, 5.481149, 5.480751, 5.485003, 5.49389, 5.507375, 5.525404, 5.547904, 5.574784, 5.605938, 5.641238, 5.680543, 5.723695, 5.77052, 5.820829, 5.874419, 5.931076, 5.990571, 6.052663, 6.117104, 6.183634, 6.251984, 6.32188, 6.393041, 6.465179)
# Make polygons as sf objects
poly1 <- data.frame(x = poly1_x, y = poly1_y) %>%
st_as_sf(coords = c('x', 'y')) %>%
st_combine() %>%
st_cast('POLYGON')
poly2 <- data.frame(x = poly2_x, y = poly2_y) %>%
st_as_sf(coords = c('x', 'y')) %>%
st_combine() %>%
st_cast('POLYGON')
# Plot
ggplot() +
geom_sf(data = poly1, fill = 'red', alpha = .5) +
geom_sf(data = poly2, fill = 'blue', alpha = .5)
# Area of polygon1: (red)
st_area(poly1)
#> [1] 6.62603
# Area of polygon2: (blue)
st_area(poly2)
#> [1] 13.88645
# Area covered only by BOTH polygons (purple)
st_intersection(poly1, poly2) %>%
st_area
#> [1] 5.678321
Created on 2020-12-30 by the reprex package (v0.3.0)
I have a SpatialLinesDataFrame of streets in Malawi and Shapefile of Malawi country. The problem is that the coordinates of some parts of one of the streets are located in the Malawi lake (and it's clearly not possible in the reality), so I think there are some problems between the shapefile and the SpatialLinesDataFrame. How can I correct the coordinates of the SpatialLinesDataFrame so that they can overlap correctly? The shapefile I am using for Malawi can be found here : mwi_adm_nso_20181016_SHP.zip (the name of the file I am using is mwi_admbnda_adm3_nso_20181016.shp).
Here the code to create the SpatialLinesDataframe of the street that has segments in the lake.
# download the shapefile of Malawi
mySHPM <-
shapefile(
paste(
path,
"/mwi_admbnda_adm3_nso_20181016.shp",
sep = ""
)
)
# subset to focus on the area where the street is
mySHP <- mySHPM[mySHPM$ADM2_EN %in% c("Karonga", "Rumphi"), ]
# define the SpatialLinesDataframe for the street that goes in the lake
Xline <- c(34.21031,34.21031,34.21027,34.21026,34.21023,34.21022,34.21006,34.20951,34.20848,34.20763,
34.20712,34.20624,34.20524,34.20443,34.20412,34.20409,34.20409,34.20421,34.20418,34.20414,
34.20403,34.20437,34.20503,34.20548,34.20598,34.20625,34.20589,34.20493,34.20467,34.20449,
34.20376,34.20349,34.20377,34.20444,34.20598,34.20694,34.20912,34.20978,34.20999,34.20985,
34.20950,34.20864,34.20822,34.20820,34.20838,34.20890,34.20905,34.20876,34.20798,34.20697,
34.20599,34.20399,34.20219,34.20074,34.19889,34.19631,34.19428,34.19126,34.18883,34.18757,
34.18614,34.18343,34.18179,34.17895,34.17602,34.17429,34.17208,34.17101,34.16972,34.16955,
34.16949,34.16944,34.16954,34.16986,34.16973,34.16935,34.16908,34.16896,34.16874,34.16783,
34.16684,34.16574,34.16509,34.16471,34.16463,34.16445,34.16422,34.16420,34.16399,34.16386,
34.16358,34.16319,34.16275,34.16217,34.16153,34.16145,34.16154,34.16207,34.16210,34.16196,
34.16145,34.16095,34.16044,34.15993,34.15940,34.15889,34.15835,34.15780,34.15720,34.15652,
34.15592,34.15546,34.15524,34.15497,34.15463,34.15426,34.15387,34.15335,34.15306,34.15270,
34.15222,34.15185,34.15141,34.15107,34.15080,34.15071,34.15080,34.15120,34.15137,34.15167,
34.15143,34.15091,34.15038,34.14988,34.14946,34.14922,34.14899,34.14851,34.14815,34.14800,
34.14762,34.14732,34.14697,34.14715,34.14691,34.14640,34.14608,34.14568,34.14541,34.14543,
34.14590,34.14617,34.14634,34.14649,34.14670,34.14647,34.14623,34.14614,34.14628,34.14649,
34.14633,34.14608,34.14591,34.14556,34.14515,34.14494,34.14472,34.14444,34.14414,34.14378,
34.14354,34.14322,34.14309,34.14320,34.14355,34.14380,34.14419,34.14451,34.14485,34.14522,
34.14538,34.14530,34.14525,34.14522,34.14522,34.14520,34.14521,34.14487,34.14455,34.14419,
34.14378,34.14341,34.14304,34.14306,34.14355,34.14411,34.14461,34.14485,34.14480,34.14468,
34.14448,34.14448,34.14438,34.14445,34.14449,34.14443,34.14419,34.14395,34.14341,34.14293,
34.14259,34.14268,34.14319,34.14367,34.14371,34.14401,34.14402,34.14379,34.14326,34.14281,
34.14225,34.14182,34.14130,34.14082,34.14021,34.14002,34.13975,34.13975,34.14023,34.14068,
34.14111,34.14147,34.14145,34.14144,34.14097,34.14035,34.13982,34.13912,34.13863,34.13819,
34.13769,34.13761,34.13751,34.13746,34.13699,34.13661,34.13670,34.13716,34.13736,34.13718,
34.13663,34.13655,34.13655,34.13662,34.13683,34.13707,34.13728,34.13741,34.13740,34.13761,
34.13824,34.13843,34.13842,34.13796,34.13723,34.13716,34.13718,34.13709,34.13689,34.13702,
34.13744,34.13761,34.13754,34.13755,34.13722,34.13682,34.13665,34.13634,34.13631,34.13623,
34.13625,34.13639,34.13652,34.13656,34.13695,34.13717,34.13716,34.13694,34.13683,34.13632,
34.13584,34.13532,34.13487,34.13437,34.13384,34.13348,34.13303,34.13258,34.13235,34.13206,
34.13204,34.13173,34.13134,34.13130,34.13102,34.13098,34.13089,34.13066,34.13052,34.13049,
34.13005,34.13001,34.12955,34.12952,34.12938,34.12859,34.12828,34.12784,34.12704,34.12610,
34.12483,34.12405,34.12284,34.12198,34.12105,34.11939,34.11927,34.11853,34.11828,34.11751,
34.11658,34.11550,34.11403,34.11364,34.11339,34.11303,34.11240,34.11173,34.11087,34.11034,
34.10987,34.10982,34.11021,34.11024,34.11016,34.10976,34.10923,34.10895,34.10898,34.10904,
34.10887,34.10870,34.10847,34.10803,34.10774,34.10691,34.10652,34.10620,34.10544,34.10540,
34.10547,34.10630,34.10641,34.10682,34.10677,34.10665,34.10664,34.10727,34.10819,34.10943,
34.11040,34.11054,34.11062,34.11087,34.11081,34.11079,34.11079)
Yline <-
c(-10.45258, -10.45259, -10.45294, -10.45369, -10.45489, -10.45648, -10.45859, -10.46091, -10.46452, -10.46747,
-10.46972, -10.47282, -10.47625, -10.47942, -10.48181, -10.48305, -10.48489, -10.48688, -10.49033, -10.49375,
-10.49606, -10.49860, -10.50286, -10.50589, -10.50926, -10.51182, -10.51374, -10.51642, -10.51806, -10.52037,
-10.52250, -10.52405, -10.52527, -10.52634, -10.52831, -10.52905, -10.53041, -10.53148, -10.53272, -10.53478,
-10.53576, -10.53710, -10.53811, -10.53825, -10.53968, -10.54224, -10.54315, -10.54454, -10.54563, -10.54692,
-10.54783, -10.54895, -10.54994, -10.55071, -10.55176, -10.55325, -10.55491, -10.55747, -10.55951, -10.56054,
-10.56163, -10.56337, -10.56472, -10.56799, -10.57132, -10.57269, -10.57448, -10.57609, -10.57886, -10.58046,
-10.58276, -10.58438, -10.58613, -10.58850, -10.59053, -10.59210, -10.59307, -10.59355, -10.59357, -10.59333,
-10.59312, -10.59287, -10.59279, -10.59252, -10.59238, -10.59253, -10.59336, -10.59393, -10.59408, -10.59396,
-10.59353, -10.59313, -10.59288, -10.59271, -10.59255, -10.59260, -10.59274, -10.59306, -10.59316, -10.59317,
-10.59296, -10.59305, -10.59316, -10.59342, -10.59353, -10.59358, -10.59341, -10.59330, -10.59337, -10.59367,
-10.59402, -10.59435, -10.59463, -10.59494, -10.59532, -10.59560, -10.59559, -10.59548, -10.59519, -10.59497,
-10.59484, -10.59461, -10.59478, -10.59503, -10.59486, -10.59503, -10.59509, -10.59530, -10.59564, -10.59584,
-10.59583, -10.59578, -10.59600, -10.59620, -10.59639, -10.59614, -10.59587, -10.59588, -10.59584, -10.59549,
-10.59499, -10.59452, -10.59414, -10.59381, -10.59365, -10.59368, -10.59346, -10.59331, -10.59317, -10.59330,
-10.59354, -10.59390, -10.59430, -10.59461, -10.59489, -10.59503, -10.59519, -10.59505, -10.59496, -10.59479,
-10.59466, -10.59449, -10.59425, -10.59387, -10.59365, -10.59346, -10.59352, -10.59341, -10.59355, -10.59355,
-10.59316, -10.59312, -10.59314, -10.59323, -10.59332, -10.59374, -10.59384, -10.59372, -10.59391, -10.59422,
-10.59455, -10.59488, -10.59493, -10.59490, -10.59490, -10.59477, -10.59437, -10.59416, -10.59399, -10.59421,
-10.59427, -10.59405, -10.59378, -10.59391, -10.59426, -10.59459, -10.59435, -10.59452, -10.59462, -10.59500,
-10.59540, -10.59564, -10.59566, -10.59519, -10.59477, -10.59469, -10.59481, -10.59492, -10.59478, -10.59458,
-10.59454, -10.59468, -10.59489, -10.59522, -10.59558, -10.59608, -10.59612, -10.59612, -10.59556, -10.59541,
-10.59550, -10.59559, -10.59540, -10.59518, -10.59522, -10.59529, -10.59534, -10.59547, -10.59551, -10.59564,
-10.59592, -10.59610, -10.59623, -10.59621, -10.59598, -10.59587, -10.59586, -10.59580, -10.59568, -10.59572,
-10.59554, -10.59546, -10.59492, -10.59453, -10.59403, -10.59389, -10.59357, -10.59333, -10.59308, -10.59286,
-10.59283, -10.59279, -10.59239, -10.59197, -10.59184, -10.59131, -10.59120, -10.59101, -10.59062, -10.59048,
-10.59021, -10.59022, -10.59011, -10.59019, -10.59054, -10.59093, -10.59098, -10.59106, -10.59102, -10.59058,
-10.59023, -10.59009, -10.59001, -10.59002, -10.59028, -10.59057, -10.59101, -10.59129, -10.59150, -10.59152,
-10.59151, -10.59108, -10.59072, -10.59039, -10.59010, -10.58976, -10.58972, -10.58904, -10.58882, -10.58845,
-10.58838, -10.58833, -10.58859, -10.58851, -10.58845, -10.58817, -10.58790, -10.58771, -10.58768, -10.58799,
-10.58799, -10.58738, -10.58720, -10.58723, -10.58757, -10.58774, -10.58812, -10.58875, -10.58917, -10.58920,
-10.58930, -10.58927, -10.58915, -10.58919, -10.58933, -10.58968, -10.58981, -10.58970, -10.58913, -10.58871,
-10.58863, -10.58875, -10.58869, -10.58857, -10.58840, -10.58776, -10.58771, -10.58709, -10.58688, -10.58693,
-10.58698, -10.58680, -10.58643, -10.58626, -10.58621, -10.58628, -10.58687, -10.58748, -10.58799, -10.58860,
-10.58908, -10.58929, -10.59015, -10.59142, -10.59176, -10.59204, -10.59191, -10.59216, -10.59234, -10.59253,
-10.59294, -10.59297, -10.59298, -10.59285, -10.59288, -10.59313, -10.59308, -10.59325, -10.59455, -10.59463,
-10.59521, -10.59622, -10.59643, -10.59773, -10.59809, -10.59836, -10.59890, -10.60086, -10.60199, -10.60337,
-10.60447, -10.60461, -10.60458, -10.60432, -10.60430, -10.60432, -10.60433)
coords <- as.data.frame(cbind(x = Xline, y = Yline))
Slo1 <- Line(coords)
Sli1 <- Lines(list(Slo1),ID="ID")
HMline <- SpatialLines(list(Sli1))
class(HMline)
proj4string(HMline) <- proj4string(mySHP)
plot(mySHP)
plot(HMline, add = T, col = "red")
# you can notice a small segment going outside the shapefile. if you can't, look at this:
# crop the street to save in "cropped" just the segments that are not overlapping the shapefile
cropped <- gDifference(HMline, mySHP)
plot(HMline)
plot(cropped, add = T, col = "red", lwd = 4)
Thanks for your help!
I'm trying to figure out how to clip a polygon based on a linestring. I have estimated the range of a terrestrial animal and this range estimate extends into the ocean. I'd like to clip out any parts that extend into the ocean.
I'm using rnaturalearth to get the coastline, which returns a series of linestrings
library(lwgeom)
library(rnaturalearth)
library(rnaturalearthhires)
library(sf)
cl10 <- ne_coastline(scale=10,returnclass='sf')
poly1 is an sf polygon of the home range estimate. (To load this from wkt below, you need to add the final ')"', which is not displaying for some reason.)
wkt <- "SRID=4326;POLYGON((-64.73304 10.46291,-64.73375 10.46797,-64.73479 10.47601,-64.73529 10.48397,-64.73576 10.49193,-64.73613 10.49987,-64.73632 10.50779,-64.73639 10.51569,-64.73616 10.52355,-64.73585 10.5314,-64.73544 10.53924,-64.73476 10.54703,-64.73389 10.5548,-64.73279 10.56254,-64.7315 10.57025,-64.72998 10.57793,-64.7282 10.58557,-64.72634 10.5932,-64.72428 10.6008,-64.72188 10.60836,-64.71932 10.61589,-64.7167 10.62341,-64.71385 10.6309,-64.71074 10.63836,-64.70741 10.64578,-64.7061 10.64831,-64.70363 10.65314,-64.69975 10.66049,-64.6955 10.66779,-64.69131 10.67509,-64.68678 10.68235,-64.68541 10.68422,-64.6816 10.68951,-64.6763 10.69666,-64.67129 10.70384,-64.66619 10.71008,-64.6655 10.71092,-64.65921 10.71793,-64.65313 10.72497,-64.64775 10.73055,-64.64641 10.73191,-64.63922 10.7388,-64.63234 10.74572,-64.62976 10.74793,-64.62443 10.7525,-64.61667 10.7593,-64.61211 10.76288,-64.6081 10.76599,-64.59965 10.77269,-64.59471 10.77621,-64.59032 10.77927,-64.58079 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poly1 <- st_sf(st_as_sfc(wkt))
I use this to extract out the relevant linestring.
box <- poly1 %>% st_bbox %>% st_as_sfc
sa_coast <- cl10[st_intersects(box,cl10,sparse=FALSE),] %>%
mutate(len=st_length(geometry)) %>%
filter(len==max(len))
From here, I want to clip poly1 using sa_coast. However I can't figure out how this can be done. Here is what the coast and range look like. The northern part of the map is ocean, the southern part is land.
ggplot() +
geom_sf(data=poly1,fill=NA,color='red') +
geom_sf(data=sa_coast) +
xlim(st_bbox(poly1)['xmin'],st_bbox(poly1)['xmax']) +
ylim(st_bbox(poly1)['ymin'],st_bbox(poly1)['ymax']) +
theme_classic()
I don't think that st_intersection() works, because this returns the multiline string that intersects with poly1
What I want is a multipolygon that has the water (top area of the figure) clipped out. See below, the geom returned by st_intersection() is in blue.
intr <- st_intersection(poly1,sa_coast)
ggplot() +
geom_sf(data=poly1,fill=NA,color='red') +
geom_sf(data=sa_coast) + #,mapping=aes(color=rowid)
geom_sf(data=intr,color='blue') +
xlim(st_bbox(polys)['xmin'],st_bbox(polys)['xmax']) +
ylim(st_bbox(polys)['ymin'],st_bbox(polys)['ymax']) +
theme_classic()
Here is the solution I finally figured out. Thanks to #JindaLacko who gave me the idea to use st_polygonize on a linestring. My linestring did not close however, so st_polygonize did not work. The trick is to clip the linestring using the polygon's bounding box, then use the min corner of the bounding box as a point on the linestring, and then close the linestring with it's first point. You can then turn this into a polygon.
Clip the coastline to size of the bounding box of the polygon.
sa_clip <- st_intersection(st_as_sfc(st_bbox(poly1)),sa_coast)
ggplot() +
geom_sf(data=st_as_sfc(st_bbox(poly1)),fill=NA) +
geom_sf(data=sa_clip) +
theme_classic()
Get the min corner of bounding box
corner <- st_bbox(poly1)[c('xmin','ymin')] %>% st_point %>% st_sfc(crs=4326)
Cast the linestring to points, append the corner, close the linestring, turn into polygon.
pts <- sa_clip %>% st_geometry %>% st_cast("POINT")
sa_poly <- c(pts,corner,pts[1]) %>% st_combine %>% st_cast('LINESTRING') %>% st_polygonize
Now, you can clip the polygon.
clipped <- st_intersection(sa_poly,poly1)
ggplot() +
geom_sf(data=sa_poly,fill='red',alpha=.2) +
geom_sf(data=poly1,fill='blue',alpha=.2) +
geom_sf(data=clipped,fill='purple',alpha=.2) +
theme_classic()
For clipping a linestring & a polygon use sf::st_intersection()
Consider the example on RStudio Community site, where I used it to determine an intersection of polygons of some random North Carolina (a popular dataset) counties with the 36th parallel.
https://community.rstudio.com/t/how-to-change-color-of-polyline-when-it-is-passing-a-polygon-in-leaflet-package-using-r/37033/3?u=jlacko
Edit: an intersection of linestring and polygon will be a linestring.
If the desired output is a polygon consider calling sf::st_polygonize() on your linestring. It will turn it into a polygon, which will return a polygon upon intersection with the other polygon.
I am trying to select a range of latitude and longitudes (and all grid cells within that range) to plot y-axis values (precipitation) as a function of x-axis values (emissions) based on aggregating (averaging) each of those grid cells. Thus, let's say that I wanted to aggregate/average each of the values of these grid cells and plot this as a function x-axis values. The values already computed for each grid cell for the y-axis correspond to average precipitation and consist of 140 values per grid cell. So, the idea would be the average the first value of each grid cell, then the second value of each grid cell, then the third value of each grid cell.....all the way to value #140 of each grid cell. This would yield 140 values that would be plotted as a single line plot. The variable containing these y-axis values is called "RCP1pctCO2Mean", which is 3-dimensional and has the following attributes:
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))
structure(c(8.06056747436523, 7.75062637329102, 7.73271865844727,
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10.5027854919434, 10.1196365356445, 9.72924041748047, 10.009349822998,
10.326407623291, 9.36514053344727, 7.79587249755859, 9.68682708740234,
9.97370910644531, 10.053092956543, 10.0790946960449, 9.88732604980469,
8.5629150390625, 8.67814178466797, 8.62764282226562, 8.40693130493164,
8.43646850585938, 8.18491287231445, 8.28544006347656, 8.32042083740234,
8.37117156982422, 8.74075393676758, 10.0410667419434, 9.86564865112305,
9.83465423583984, 10.2372169494629, 10.6772819519043, 10.7158340454102,
11.1418548583984, 11.3801231384277, 12.3574913024902, 12.7044395446777,
10.933625793457, 10.1660957336426, 8.9215690612793, 9.42180328369141,
10.0563125610352, 10.6793243408203, 10.605298614502, 10.532593536377,
10.4527519226074, 10.4930633544922, 9.60543518066406, 9.36136474609375,
9.02150115966797, 8.90760498046875, 9.39027709960937, 11.475407409668,
11.8939018249512, 12.2665367126465, 12.3773796081543, 12.2639549255371,
12.1986907958984, 12.9296035766602, 14.6138290405273, 12.5118690490723,
11.1584533691406, 11.6089347839355, 12.184122467041, 12.7126617431641,
12.8846618652344, 12.7170280456543, 10.4427520751953, 11.0104148864746,
11.0574317932129, 10.7889305114746, 11.428002166748, 12.8730773925781,
13.0610855102539, 13.9772033691406, 14.7699234008789, 15.2759140014648,
11.0441619873047, 12.8132598876953, 13.1194686889648, 13.3944534301758,
13.439665222168, 11.8274314880371, 12.5198951721191, 13.1492401123047,
13.310026550293, 13.7720932006836, 10.7566696166992, 11.1153205871582,
10.8651023864746, 10.8898574829102, 11.1934638977051, 10.3416526794434,
10.3679290771484, 10.5599853515625, 10.4897705078125, 10.3551536560059,
10.7984680175781, 9.9300895690918, 9.24563140869141, 8.82577590942383,
8.11003036499023, 9.96226196289063, 10.2302505493164, 10.1707107543945,
9.78019790649414, 9.43962249755859, 11.1743797302246, 11.4034492492676,
10.9475212097168, 11.3065505981445, 11.3690071105957, 9.07691192626953,
8.84776763916016, 8.99648666381836, 9.46799697875977, 10.1394309997559,
9.5390739440918, 9.72808990478516, 10.1971199035645, 10.3575813293457,
10.6958648681641, 12.1900230407715, 11.986629486084, 12.139289855957,
12.308757019043, 12.2176116943359, 10.5569931030273, 10.2808883666992,
9.90982055664062, 9.57319793701172, 9.34677658081055, 9.55350112915039,
9.78641738891602, 10.0147956848145, 10.3079559326172, 10.7283164978027,
8.64087753295899, 8.30433197021484, 8.60956497192383, 8.60016937255859,
8.54900741577148, 9.71597595214844, 8.8296272277832, 8.63880462646484,
8.47726745605469, 8.84029846191406, 10.1157096862793, 9.88607330322266,
9.32783508300781, 9.36255416870117, 10.1161201477051, 11.8296203613281,
12.8728881835937, 13.2580642700195, 13.5822448730469, 14.2079498291016,
8.7088752746582, 8.82841796875, 9.62056427001953, 9.44509429931641,
8.63022689819336, 10.438533782959, 10.7936264038086, 11.1668098449707,
11.4698097229004, 11.6895088195801, 10.657413482666, 10.6490295410156,
10.6090156555176, 10.7308578491211, 10.2125785827637, 8.9413688659668,
8.8182373046875, 8.83381042480469, 8.8937255859375, 8.81535415649414,
9.55851669311523, 9.21836166381836, 9.18197784423828, 9.25029678344726,
9.27070083618164, 8.93240661621094, 8.90249099731445, 9.04313659667969,
9.20108184814453, 9.35103607177734, 10.5618942260742, 11.06572265625,
11.445832824707, 11.9180442810059, 11.9453758239746, 12.2584243774414,
11.9192649841309, 11.7775825500488, 11.8008255004883, 12.2185432434082,
9.08272094726562, 9.66560821533203, 9.48288192749023, 9.70498886108398,
9.56975555419922, 10.349006652832, 10.0300796508789, 9.5968864440918,
9.54965896606445, 9.00812759399414, 10.6454582214355, 10.7713653564453,
11.4645782470703, 11.8325187683105, 10.4740211486816, 9.41022796630859,
9.07474822998047, 8.61860656738281, 8.40045318603516, 8.653662109375,
9.65197830200195, 9.63723449707031, 9.51137924194336, 9.57775497436523,
9.69926528930664, 8.98936157226563, 9.40332794189453, 9.6757568359375,
9.79740600585938, 9.78034057617188, 10.2542152404785, 10.1619010925293,
10.3302688598633, 10.5525291442871, 10.7628135681152, 10.2399101257324,
10.7667839050293, 10.9936302185059, 10.8458152770996, 10.6235733032227,
9.24678955078125, 9.91125411987305, 9.86469879150391, 10.2658912658691,
10.1045028686523, 8.5959098815918, 8.49214401245117, 8.39304656982422,
8.6228157043457, 8.61747360229492, 8.91071395874024, 8.69116439819336,
8.56472625732422, 8.52434997558594, 8.64141616821289, 11.7017639160156,
12.3285125732422, 12.0996276855469, 11.056103515625, 10.7624618530273,
11.0327911376953, 12.0061622619629, 11.4006072998047, 10.8051193237305,
9.97594757080078, 10.138427734375, 10.6871589660645, 11.5516906738281,
12.4771171569824, 12.7644668579102, 9.02487182617188, 8.8429817199707,
9.50254135131836, 9.22763977050781, 8.60505981445312, 9.68806610107422,
9.77085647583008, 9.95944061279297, 10.3024574279785, 10.7512054443359,
8.78317031860352, 8.94360504150391, 9.19855346679688, 9.44350967407227,
10.2734016418457, 11.8314613342285, 12.4076805114746, 12.5829055786133,
12.3372856140137, 11.6992652893066, 8.82733459472656, 8.83338012695313,
9.01612014770508, 9.31243057250976, 9.52871017456055, 9.1939811706543,
9.20086669921875, 9.17466049194336, 9.3692512512207, 9.51042022705078,
9.55322723388672, 9.08766632080078, 9.01230697631836, 9.08840942382812,
8.89073867797851, 10.0157516479492, 9.88614654541016, 9.88927917480469,
9.89448471069336, 9.81435546875, 10.0982810974121, 10.8838890075684,
12.3737106323242, 12.0203163146973, 12.3476577758789, 8.12273559570312,
8.38578720092773, 8.5104736328125, 8.67580947875977, 8.8884521484375,
11.280297088623, 9.81758041381836, 9.12517623901367, 9.57337417602539,
9.93379745483398, 9.97190170288086, 9.9986442565918, 10.1007339477539,
10.368416595459, 10.8695823669434, 10.6418167114258, 10.1072540283203,
9.56202163696289, 10.1464050292969, 11.0315299987793, 15.5208480834961,
16.458154296875, 16.6033325195312, 16.9603851318359, 17.5446258544922,
11.6627197265625, 11.2967132568359, 11.0439735412598, 10.7337928771973,
10.724112701416, 10.414665222168, 10.1816375732422, 10.0053001403809,
10.0604530334473, 10.3831871032715, 12.5386772155762, 12.61123046875,
11.556861114502, 10.815104675293, 10.3798713684082, 12.8164276123047,
12.5301361083984, 12.1416007995605, 11.1006622314453, 10.5525985717773,
12.7033218383789, 13.5069030761719, 14.3273956298828, 14.1952850341797,
13.8862731933594, 11.5364295959473, 11.4725784301758, 11.4327659606934,
11.6338516235352, 11.9929733276367, 10.9388458251953, 10.3944259643555,
10.7864356994629, 10.4639877319336, 10.4192794799805, 10.584090423584,
11.0457565307617, 11.1049293518066, 11.2156471252441, 11.2940994262695,
11.5789703369141, 11.3852058410645, 11.312281036377, 10.8983863830566,
10.7498306274414, 11.648999786377, 12.1443000793457, 12.3075752258301,
12.4243774414062, 12.5793846130371, 9.53582992553711, 10.3421630859375,
10.6005973815918, 10.7018409729004, 10.1489151000977, 15.3236968994141,
16.6732727050781, 17.0259368896484, 16.9183380126953, 18.6379180908203,
11.5663963317871, 13.1421661376953, 15.772624206543, 15.2286743164063,
14.1305938720703, 10.4395881652832, 10.3302070617676, 10.3431907653809,
10.6234725952148, 10.6850440979004, 10.1355682373047, 10.7770133972168,
11.2220344543457, 11.121208190918, 10.9759727478027, 10.4280487060547,
11.4163436889648, 11.5880157470703, 11.367276763916, 11.7584564208984,
12.3622993469238, 12.8618209838867, 13.0096267700195, 12.7293991088867,
12.3698738098145, 13.4502487182617, 13.9361175537109, 14.3981384277344,
14.8455154418945, 14.7898071289063, 10.8285942077637, 11.0353393554688,
13.0554183959961, 11.4933654785156, 10.6509674072266, 12.3171768188477,
11.9701278686523, 11.7984405517578, 11.3652336120605, 11.2212104797363,
11.7747032165527, 12.0631629943848, 11.609635925293, 12.5300575256348,
12.5889640808105, 14.9442291259766, 15.244026184082, 15.1138778686523,
14.8327117919922, 14.0672607421875, 13.8624649047852, 14.0361633300781,
13.746142578125, 13.3890182495117, 12.7229309082031, 11.7338531494141,
12.4392601013184, 12.6126739501953, 12.3359680175781, 12.0300300598145,
13.0475494384766, 13.4870010375977, 13.1330673217773, 12.8889770507812,
11.5218353271484, 12.9545684814453, 12.6848930358887, 12.5185249328613,
12.1927146911621, 12.1243927001953, 13.6282653808594, 13.0329132080078,
14.021321105957, 12.7892906188965, 11.5679710388184, 12.4451988220215,
12.6035362243652, 12.8059692382812, 13.2598541259766, 14.1865646362305,
11.4154563903809, 12.0055801391602, 12.315015411377, 12.8833023071289,
13.0320266723633, 11.3923133850098, 12.2035797119141, 12.3115371704102,
12.4416717529297, 12.8906295776367, 11.4880004882812, 11.4702560424805,
11.063402557373, 11.520093536377, 11.4941116333008, 10.2884147644043,
10.4248268127441, 10.2943084716797, 10.4938522338867, 10.171199798584,
10.8181655883789, 10.7096382141113, 10.3980682373047, 9.85380783081055,
9.06302337646484, 11.087833404541, 11.297770690918, 11.4384208679199,
11.8333045959473, 12.6423866271973, 11.0677742004395, 11.1663566589355,
14.6535186767578, 12.696688079834, 11.9809646606445, 12.5395179748535,
13.5047088623047, 13.6589874267578, 13.3168762207031, 13.8064010620117,
13.2664398193359, 12.1466331481934, 11.7755020141602, 11.2214569091797,
11.967204284668, 13.3286544799805, 13.0230804443359, 12.4111663818359,
11.5664184570313, 11.507154083252, 10.7482841491699, 10.2523262023926,
10.5137763977051, 10.6416915893555, 10.925708770752, 12.1461143493652,
12.5572776794434, 13.0962661743164, 14.0371612548828, 15.6014785766602,
12.1392105102539, 12.4931434631348, 12.5056259155273, 12.1932655334473,
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")))
For the x-axis, I already have 140 values to be plotted. The x variable is called "RCP1pctCO2cumulative" and is 1-dimensional. Here are the values:
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
I tried doing something like this to start:
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")
But this yields the error:
Error in xy.coords(x, y, xlabel, ylabel, log) :
'x' and 'y' lengths differ
If it helps, here are the dimensions of the new variables created:
dim(lonlat)
[1] 196 140
dim(expansion)
[1] 196 2
What could I be doing wrong (the lengths appear to be the same)? Ultimately, the goal would be to plot the 140 values as a function of emissions (i.e. "RCP1pctCO2Mean" as a function of "RCP1pctCO2cumulative" once each of those selected grid cells are aggregated). The above works absolutely fine when just selecting "one" specific grid cell, but not an aggregate of grid cells. Is this possible to do for an aggregate of grid cells?
Thanks, and any assistance would be greatly appreciated!