I want to compute distance between nodes along a path (network).
I have two shapefiles.
One is a point layer representing train stations:
train_station <- structure(list(geometry = structure(list(structure(c(1789781.1763,
1036140.3792), class = c("XY", "POINT", "sfg")), structure(c(1391746.6168,
-336142.520399998), class = c("XY", "POINT", "sfg")), structure(c(1322725.335,
-446160.425799999), class = c("XY", "POINT", "sfg")), structure(c(1079349.8399,
-389421.086099999), class = c("XY", "POINT", "sfg")), structure(c(993051.089600001,
604054.897600002), class = c("XY", "POINT", "sfg")), structure(c(1734176.6467,
803503.679300002), class = c("XY", "POINT", "sfg")), structure(c(1639866.0629,
386133.173800001), class = c("XY", "POINT", "sfg")), structure(c(1658998.0956,
593818.4364), class = c("XY", "POINT", "sfg")), structure(c(1436011.5057,
750318.722999998), class = c("XY", "POINT", "sfg")), structure(c(1616310.3521,
-137545.4903), class = c("XY", "POINT", "sfg")), structure(c(1907821.16828945,
846114.131303993), class = c("XY", "POINT", "sfg")), structure(c(960998.947599998,
136060.9786), class = c("XY", "POINT", "sfg")), structure(c(1433751.8485,
-368676.099499998), class = c("XY", "POINT", "sfg")), structure(c(1016693.4823,
-307540.433600002), class = c("XY", "POINT", "sfg")), structure(c(1178486.7964,
535962.089599999), class = c("XY", "POINT", "sfg")), structure(c(1805904.0874,
608223.609200002), class = c("XY", "POINT", "sfg")), structure(c(1027750.5026,
-503417.115600001), class = c("XY", "POINT", "sfg")), structure(c(756089.969799999,
-277720.935699999), class = c("XY", "POINT", "sfg")), structure(c(1783381.519,
580457.243600001), class = c("XY", "POINT", "sfg")), structure(c(1638164.0169,
-179512.823000001), class = c("XY", "POINT", "sfg")), structure(c(1834362.883,
693158.698699999), class = c("XY", "POINT", "sfg")), structure(c(923737.611100001,
-522394.597200001), class = c("XY", "POINT", "sfg")), structure(c(564090.517499997,
-564609.5142), class = c("XY", "POINT", "sfg")), structure(c(1700622.4846,
461411.774400001), class = c("XY", "POINT", "sfg")), structure(c(1884814.7315,
844470.2333), class = c("XY", "POINT", "sfg")), structure(c(1035880.12193273,
421102.600903689), class = c("XY", "POINT", "sfg")), structure(c(981168.882900001,
553358.567199998), class = c("XY", "POINT", "sfg")), structure(c(1630589.1227,
96992.7936000023), class = c("XY", "POINT", "sfg")), structure(c(1469206.5633,
-382122.280600001), class = c("XY", "POINT", "sfg")), structure(c(1074513.95508099,
495379.397144308), class = c("XY", "POINT", "sfg")), structure(c(1699926.7821,
84351.6904), class = c("XY", "POINT", "sfg")), structure(c(882981.990499998,
157627.906599999), class = c("XY", "POINT", "sfg")), structure(c(1595222.2689,
789366.362099998), class = c("XY", "POINT", "sfg")), structure(c(1908684.48408199,
961557.436709222), class = c("XY", "POINT", "sfg")), structure(c(855655.5085,
583468.712600001), class = c("XY", "POINT", "sfg")), structure(c(1610618.85711065,
834001.601766967), class = c("XY", "POINT", "sfg")), structure(c(1566028.408,
769176.095699999), class = c("XY", "POINT", "sfg")), structure(c(651005.479500001,
516407.979799999), class = c("XY", "POINT", "sfg")), structure(c(1960849.6649,
695124.517400001), class = c("XY", "POINT", "sfg")), structure(c(1629478.9974,
133719.900100002), class = c("XY", "POINT", "sfg")), structure(c(866660.977081273,
327406.378158199), class = c("XY", "POINT", "sfg")), structure(c(1888541.8058,
965703.314599999), class = c("XY", "POINT", "sfg")), structure(c(818778.823500002,
-284285.364000002), class = c("XY", "POINT", "sfg")), structure(c(1819753.2004,
576574.899499998), class = c("XY", "POINT", "sfg")), structure(c(1034127.7749,
-500619.4664), class = c("XY", "POINT", "sfg")), structure(c(1025609.63045605,
561660.937523897), class = c("XY", "POINT", "sfg")), structure(c(1636066.2798,
46453.162800001), class = c("XY", "POINT", "sfg")), structure(c(998866.904199997,
314104.5522), class = c("XY", "POINT", "sfg")), structure(c(869039.779816974,
274039.376250103), class = c("XY", "POINT", "sfg")), structure(c(1997476.0478,
758688.154200002), class = c("XY", "POINT", "sfg")), structure(c(895392.7311,
286313.070300001), class = c("XY", "POINT", "sfg")), structure(c(1626409.4785,
115297.873900001), class = c("XY", "POINT", "sfg")), structure(c(861712.417868644,
236019.781593506), class = c("XY", "POINT", "sfg")), structure(c(1790018.5253,
1038861.7706), class = c("XY", "POINT", "sfg")), structure(c(2041967.16,
1032950.1021), class = c("XY", "POINT", "sfg")), structure(c(984555.844500002,
241438.559699999), class = c("XY", "POINT", "sfg")), structure(c(973641.5209,
130616.517499998), class = c("XY", "POINT", "sfg")), structure(c(1599820.5337,
503161.733600002), class = c("XY", "POINT", "sfg")), structure(c(934106.738068492,
151012.678032866), class = c("XY", "POINT", "sfg")), structure(c(1066256.3405,
478270.1672), class = c("XY", "POINT", "sfg")), structure(c(998786.0674,
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734179.189899999), class = c("XY", "POINT", "sfg")), structure(c(1163775.6374,
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-744183.866400001), class = c("XY", "POINT", "sfg")), structure(c(1770957.5691,
805746.836800001), class = c("XY", "POINT", "sfg")), structure(c(988506.472554391,
-306585.319089635), class = c("XY", "POINT", "sfg")), structure(c(1623615.0261,
65123.377399998), class = c("XY", "POINT", "sfg")), structure(c(1813966.00682923,
747354.132971282), class = c("XY", "POINT", "sfg")), structure(c(1810188.2763,
599796.673199999), class = c("XY", "POINT", "sfg")), structure(c(1730950.3197,
481928.7466), class = c("XY", "POINT", "sfg")), structure(c(1677962.4344,
401142.464600001), class = c("XY", "POINT", "sfg")), structure(c(1499813.8947,
377704.453299999), class = c("XY", "POINT", "sfg")), structure(c(1018653.1621,
532501.8235), class = c("XY", "POINT", "sfg")), structure(c(1073041.347,
-351619.053599999), class = c("XY", "POINT", "sfg")), structure(c(845590.0237,
268438.064900001), class = c("XY", "POINT", "sfg")), structure(c(1659137.2895,
636686.545600002), class = c("XY", "POINT", "sfg")), structure(c(1112088.3617,
-363777.257399998), class = c("XY", "POINT", "sfg")), structure(c(1648355.6038,
817969.682499998), class = c("XY", "POINT", "sfg")), structure(c(1577769.1144,
29475.7759999994), class = c("XY", "POINT", "sfg")), structure(c(1833188.4238,
624230.7403), class = c("XY", "POINT", "sfg")), structure(c(1248577.0722,
-421305.326399999), class = c("XY", "POINT", "sfg")), structure(c(1401770.9769,
-250586.986099999), class = c("XY", "POINT", "sfg")), structure(c(1138454.93786688,
-468998.793998615), class = c("XY", "POINT", "sfg")), structure(c(1278419.3896,
-360659.6984), class = c("XY", "POINT", "sfg")), structure(c(1805730.9206,
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266058.299900001), class = c("XY", "POINT", "sfg")), structure(c(1889275.5985,
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570461.4288), class = c("XY", "POINT", "sfg")), structure(c(812547.9589,
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323567.822300001), class = c("XY", "POINT", "sfg")), structure(c(1556459.4506,
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814086.588900001), class = c("XY", "POINT", "sfg")), structure(c(2027810.5336,
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255660.950200001), class = c("XY", "POINT", "sfg")), structure(c(1146638.1434,
-452571.1202), class = c("XY", "POINT", "sfg")), structure(c(1100782.03603612,
488119.673401054), class = c("XY", "POINT", "sfg")), structure(c(1339167.3409,
443698.337899999), class = c("XY", "POINT", "sfg")), structure(c(1655378.2789,
661337.0171), class = c("XY", "POINT", "sfg")), structure(c(852903.483203445,
168635.188100001), class = c("XY", "POINT", "sfg")), structure(c(988335.854099999,
-238991.9709), class = c("XY", "POINT", "sfg")), structure(c(1615346.7855,
163005.7352), class = c("XY", "POINT", "sfg")), structure(c(440431.433800001,
-732425.392000001), class = c("XY", "POINT", "sfg")), structure(c(1917368.1319,
611474.272399999), class = c("XY", "POINT", "sfg")), structure(c(1879591.0405,
914739.573199999), class = c("XY", "POINT", "sfg"))), class = c("sfc_POINT",
"sfc"), precision = 0, bbox = structure(c(xmin = 440431.433800001,
ymin = -837105.972100253, xmax = 2217986.8999, ymax = 1142426.3355
), class = "bbox"), crs = structure(list(input = NA_character_,
wkt = "PROJCS[\"USA_Contiguous_Albers_Equal_Area_Conic\",\n GEOGCS[\"GCS_North_American_1983\",\n DATUM[\"North_American_Datum_1983\",\n SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],\n PRIMEM[\"Greenwich\",0.0],\n UNIT[\"Degree\",0.0174532925199433]],\n PROJECTION[\"Albers_Conic_Equal_Area\"],\n PARAMETER[\"False_Easting\",0.0],\n PARAMETER[\"False_Northing\",0.0],\n PARAMETER[\"longitude_of_center\",-96.0],\n PARAMETER[\"Standard_Parallel_1\",29.5],\n PARAMETER[\"Standard_Parallel_2\",45.5],\n PARAMETER[\"latitude_of_center\",37.5],\n UNIT[\"Meter\",1.0]]"), class = "crs"), n_empty = 0L),
station = 1:301), row.names = c(NA, -301L), class = c("sf",
"data.frame"), sf_column = "geometry", agr = structure(c(station = NA_integer_), .Label = c("constant",
"aggregate", "identity"), class = "factor"))
And the other one is a multiline layer representing railroads:
Simple feature collection with 3818 features and 8 fields
Geometry type: LINESTRING
Dimension: XY
Bounding box: xmin: 439362.5 ymin: -837106 xmax: 2223894 ymax: 1144527
CRS: 102003
First 10 features:
track VxCount Gauge RRname InOpBy ExactDate FIDAll Edited geometry
1 0.0921356 4 51.0 Delaware & Hudson 1830 1829 0 0 LINESTRING (1703095 643192....
2 0.6290380 5 51.0 Delaware & Hudson 1830 1829 1 0 LINESTRING (1703228 643134....
3 0.0368666 2 56.5 Baltimore and Ohio 1830 1830 2 0 LINESTRING (1644112 371237,...
4 0.1132930 2 56.5 Baltimore and Ohio 1830 1830 3 0 LINESTRING (1644112 371237,...
5 0.2250440 4 60.0 Charleston Hamburg 1830 1830 11 0 LINESTRING (1482645 -394401...
6 0.1246240 2 60.0 Charleston Hamburg 1830 1830 12 0 LINESTRING (1482960 -394567...
7 0.9672450 9 60.0 Charleston Hamburg 1830 1830 13 0 LINESTRING (1483158 -394600...
8 1.5411200 12 60.0 Charleston Hamburg 1830 1830 14 0 LINESTRING (1484580 -395087...
9 0.2888170 4 60.0 Charleston Hamburg 1830 1830 15 0 LINESTRING (1486418 -396682...
10 0.0888595 2 60.0 Charleston Hamburg 1830 1830 16 0 LINESTRING (1486523 -397130...
I would like to know how to merge these nodes (train stations) to these edges (railroads) in order to create a network, and then compute all the distance of nodes that are in the same network.
I tried unsuccessfully this (from this answer) but it created more nodes than I want
library(sfnetworks)
network <- railroad_1850 %>% as_sfnetwork()
nodes <- train_station %>% as_sfnetwork()
new_network <- network %>%
st_network_blend(., nodes, tolerance = 10)
Note that my path is not composed of straight lines.
I'm not 100% sure of what your desired output is, but check the following code which might achieve your goal.
First, load packages
Load data
Convert rail data to sfnetwork class. Are you sure that the segments are defined in the proper order? Is it safe to assume that we need to define a directed network?
Plot
Looking at the plot, I would say that the “station” data represent a subset of the nodes that already belong to the sfn object. Anyway, we can merge the two objects:
and compute distances between all nodes
Inf means that it is not possible to reach node i from node j and the Matrix is not symmetric since we created a directed network.
Created on 2023-01-13 with reprex v2.0.2
Edit
The following code can be used to get the matrix of distances across the stations: