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Lecture 17 Spatial Data and Cartography (Part 2) Colin Rundel 03/22/2017 1 Plotting 2 Example Data - NC SIDS 420 2 1190 748 4 968 Warren ## 9 371 2 594 254 0 Gates ## 10 ## 8 139 2 350 115 0 286 Camden ## 7 1237 5


  1. Lecture 17 Spatial Data and Cartography (Part 2) Colin Rundel 03/22/2017 1

  2. Plotting 2

  3. Example Data - NC SIDS 420 2 1190 748 4 968 Warren ## 9 371 2 594 254 0 Gates ## 10 ## 8 139 2 350 115 0 286 Camden ## 7 1237 5 1838 844 Stokes 7 ## 4 ## 10 MULTIPOLYGON(((-80.02567291... MULTIPOLYGON(((-78.30876159... ## 9 MULTIPOLYGON(((-76.56250762... ## 8 MULTIPOLYGON(((-76.00897216... ## 7 MULTIPOLYGON(((-76.74506378... ## 6 MULTIPOLYGON(((-77.21766662... ## 5 MULTIPOLYGON(((-76.00897216... MULTIPOLYGON(((-80.45634460... 1612 ## 3 MULTIPOLYGON(((-81.23989105... ## 2 MULTIPOLYGON(((-81.47275543... ## 1 geometry ## 176 5 2038 160 1 954 1452 nc = st_read ( system.file (”shape/nc.shp”, package=”sf”), quiet = TRUE) %>% ## 487 Alleghany ## 2 19 0 1364 10 1 1091 Ashe ## 1 NAME BIR74 SID74 NWBIR74 BIR79 SID79 NWBIR79 +proj=longlat +datum=NAD27 +no_defs 10 ## proj4string: 4267 ## epsg (SRID): xmin: -81.74107 ymin: 36.07282 xmax: -75.77316 ymax: 36.58965 ## bbox: XY ## dimension: MULTIPOLYGON ## geometry type: ## Simple feature collection with 10 features and 7 fields head (nc, n = 10) select (-(AREA:CNTY_ID), -(FIPS:CRESS_ID)) 0 542 Hertford 123 ## 6 1197 3 1606 1066 9 1421 Northampton ## 5 145 2 830 1 3 508 Currituck ## 4 260 6 3616 208 5 3188 Surry ## 3 12 3

  4. Base Plots plot (nc) 4 NAME BIR74 SID74 NWBIR74 BIR79 SID79 NWBIR79

  5. Geometry Plot plot ( st_geometry (nc), axes=TRUE) 5 33.5 ° N34 ° N34.5 ° N35 ° N35.5 ° N36 ° N36.5 ° N37 ° N 84 ° W 82 ° W 80 ° W 78 ° W 76 ° W

  6. Graticules plot (nc[,”SID79”], graticule= st_crs (nc), axes=TRUE, las=1) 6 SID79 37 ° N 36.5 ° N 36 ° N 35.5 ° N 35 ° N 34.5 ° N 34 ° N 33.5 ° N 84 ° W 82 ° W 80 ° W 78 ° W 76 ° W

  7. Graticules (EPSG:3631) plot ( st_transform (nc[,”SID79”], 3631), graticule= st_crs (nc), axes=TRUE, las=1) 7 SID79 36.5 ° N 36 ° N 35.5 ° N 35 ° N 34.5 ° N 34 ° N 33.5 ° N 84 ° W 82 ° W 80 ° W 78 ° W 76 ° W

  8. ggplot2 2.2.1.9 (dev) ggplot (nc) + 8 geom_sf ( aes (fill=SID79 / BIR79)) 36.5 ° N 36 ° N SID79/BIR79 0.006 35.5 ° N 0.004 35 ° N 0.002 34.5 ° N 0.000 34 ° N 84 ° W 82 ° W 80 ° W 78 ° W 76 ° W

  9. ggplot2 + projections ggplot ( st_transform (nc, 3631)) + 9 geom_sf ( aes (fill=SID79 / BIR79)) 36.5 ° N 36 ° N SID79/BIR79 0.006 35.5 ° N 0.004 35 ° N 0.002 34.5 ° N 0.000 34 ° N 84 ° W 82 ° W 80 ° W 78 ° W 76 ° W

  10. Example Data - Meuse ## 19 606 7.160 0.01222430 16.0 1 1 1 ## 18 7.1 69 148 711 7.100 0.01222430 16.0 1 1 1 8.7 74 69 207 735 7.020 0.00000000 13.7 1 1 1 ## 20 12.9 95 284 1052 6.860 0.00000000 14.8 1 1 1 133 7.0 landuse dist.m 2.0 1 1 1 ## 14 2.5 31 183 504 8.815 0.11393200 8.4 1 1 0 ## 15 27 ## 17 130 326 8.937 0.16833600 9.1 1 1 0 ## 16 9.5 86 240 1032 7.702 0.00000000 16.2 1 1 1 ## geometry 93 ## 16 ## 12 Ag 300 POINT(181032 333031) ## 13 W 20 POINT(180874 333339) ## 14 Ah 130 POINT(180969 333252) ## 15 Ah 220 POINT(181011 333161) W Fh 10 POINT(180830 333246) ## 17 W 10 POINT(180763 333104) ## 18 W 10 POINT(180694 332972) ## 19 W 10 POINT(180625 332847) ## 20 <NA> 10 POINT(180555 332707) 400 POINT(181191 333115) ## 11 ## 1 380 POINT(181307 333330) Ah 50 POINT(181072 333611) ## 2 Ah 30 POINT(181025 333558) ## 3 Ah 150 POINT(181165 333537) ## 4 Ga 270 POINT(181298 333484) ## 5 Ah ## 6 420 POINT(181232 333168) Ga 470 POINT(181390 333260) ## 7 Ah 240 POINT(181165 333370) ## 8 Ab 120 POINT(181027 333363) ## 9 Ab 240 POINT(181060 333231) ## 10 W 285 1096 7.320 0.00000000 15.4 11.2 data (meuse, meuse.riv, package=”sp”) 116 1 ## 3 6.5 68 199 640 7.800 0.10302900 13.0 1 1 1 ## 4 2.6 81 257 7.655 0.19009400 1 8.0 1 2 0 ## 5 2.8 48 117 269 7.480 0.27709000 8.7 1 2 0 1 277 1141 6.983 0.01222430 14.0 ## 13 ## First 20 features: meuse ## Simple feature collection with 155 features and 12 fields ## geometry type: POINT ## dimension: XY ## bbox: xmin: 178605 ymin: 329714 xmax: 181390 ymax: 333611 ## epsg (SRID): 28992 ## proj4string: +proj=sterea +lat_0=52.15616055555555 +lon_0=5.38763888888889 +k=0.9999079 +x_0=155000 +y_0=463000 +ellps=bessel +towgs84=565.4171,50.3319,465.5524,-0.398957,0.343988,-1.87740,4.0725 +units=m +no_defs ## 81 cadmium copper lead zinc elev dist om ffreq soil lime ## 1 11.7 85 299 1022 7.909 0.00135803 13.6 1 1 1 ## 2 8.6 ## 6 3.0 61 86 ## 10 1.6 24 80 183 9.049 0.30970200 6.3 1 2 0 ## 11 1.4 25 189 9.015 0.31511600 137 6.4 1 2 0 ## 12 1.8 25 97 251 9.073 0.22812300 9.0 1 1 0 0 1 1 347 8.668 0.18461400 10.6 281 7.791 0.36406700 7.8 1 2 0 ## 7 3.2 31 132 346 8.217 0.19009400 9.2 1 2 0 ## 8 133 37 2.4 ## 9 0 1 1 9.5 406 8.490 0.09215160 150 29 2.8 10 meuse = st_as_sf (meuse, coords= c (”x”, ”y”), crs=28992) meuse_riv = st_polygon ( list (meuse.riv)) %>% st_sfc () %>% st_set_crs (28992)

  11. Meuse plot (meuse, pch=16) 11 cadmium copper lead zinc elev dist om ffreq soil lime

  12. Layering plots plot (meuse[,”lead”], pch=16, axes=TRUE) plot (meuse_riv, col= adjustcolor (”lightblue”, alpha.f=0.5), add=TRUE, border = NA) 12 lead 333000 332000 331000 330000 176000 178000 180000 182000 184000

  13. Layering plots (oops) plot (meuse, pch=16) plot (meuse_riv, col= adjustcolor (”lightblue”, alpha.f=0.5), add=TRUE, border = NA) 13 cadmium copper lead zinc elev dist om ffreq soil lime

  14. ggplot2 ggplot () + 14 geom_sf (data=meuse, aes (color=lead), size=1) geom_sf (data= st_sf (meuse_riv), fill=”lightblue”, color=NA) + 51.02 ° N 51 ° N lead 600 50.98 ° N 400 200 50.96 ° N 50.94 ° N 50.92 ° N 5.72 ° E 5.73 ° E 5.74 ° E 5.75 ° E 5.76 ° E 5.77 ° E

  15. ggplot2 - axis limits ylim (329714, 333611) ggplot () + 15 geom_sf (data=meuse, aes (color=lead), size=0.1) + geom_sf (data= st_sf (meuse_riv), fill=”lightblue”, color=NA) + 50.99 ° N 50.985 ° N 50.98 ° N lead 600 50.975 ° N 400 200 50.97 ° N 50.965 ° N 50.96 ° N 50.955 ° N 5.72 ° E 5.73 ° E 5.74 ° E 5.75 ° E 5.76 ° E 5.77 ° E

  16. ggplot2 - bounding box ylim ( st_bbox (meuse)[”ymin”], st_bbox (meuse)[”ymax”]) ggplot () + 16 geom_sf (data=meuse, aes (color=lead), size=0.1) + geom_sf (data= st_sf (meuse_riv), fill=”lightblue”, color=NA) + 50.99 ° N 50.985 ° N 50.98 ° N lead 600 50.975 ° N 400 200 50.97 ° N 50.965 ° N 50.96 ° N 50.955 ° N 5.72 ° E 5.73 ° E 5.74 ° E 5.75 ° E 5.76 ° E 5.77 ° E

  17. Geometry Manipulation 17

  18. Casting 17 1179 2753 6 1492 ## 16 Halifax 3608 18 2365 4463 2980 2180 ## 17 Pasquotank 1638 3 622 2275 4 933 ## 18 Wilkes 4 Vance 4 930 4449 16 1243 5386 5 1369 ## 13 Granville 1671 4 2074 ## 15 4 1058 ## 14 Person 1556 4 613 1790 4 650 3146 200 ## 12 MULTIPOINT(-78.308761596679... MULTIPOINT(-76.008972167968... ## 5 MULTIPOINT(-77.217666625976... ## 6 MULTIPOINT(-76.745063781738... ## 7 MULTIPOINT(-76.008972167968... ## 8 MULTIPOINT(-76.562507629394... ## 9 ## 10 MULTIPOINT(-80.025672912597... MULTIPOINT(-80.456344604492... ## 11 MULTIPOINT(-79.530509948730... ## 12 MULTIPOINT(-79.530509948730... ## 13 MULTIPOINT(-78.749122619628... ## 14 MULTIPOINT(-78.806800842285... ## 15 MULTIPOINT(-78.492523193359... ## 16 MULTIPOINT(-77.332206726074... ## 17 MULTIPOINT(-76.298927307128... ## 18 MULTIPOINT(-81.020568847656... ## 19 MULTIPOINT(-81.806221008300... ## 20 MULTIPOINT(-76.480529785156... ## 4 ## 3 3725 ## 20 7 222 ## 19 Watauga 1323 1 17 1775 1 33 Perquimans MULTIPOINT(-81.239891052246... 484 1 230 676 0 310 ## geometry ## 1 MULTIPOINT(-81.472755432128... ## 2 Rockingham 597 nc_pts = st_cast (nc, ”MULTIPOINT”) 3616 0 10 542 3 12 ## 3 Surry 3188 5 208 6 Alleghany 260 ## 4 Currituck 508 1 123 830 2 145 ## 5 487 ## 2 1421 ## proj4string: nc_pts ## Simple feature collection with 100 features and 7 fields ## geometry type: MULTIPOINT ## dimension: XY ## bbox: xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965 ## epsg (SRID): 4267 +proj=longlat +datum=NAD27 +no_defs 19 ## First 20 features: ## NAME BIR74 SID74 NWBIR74 BIR79 SID79 NWBIR79 ## 1 Ashe 1091 1 10 1364 0 Northampton 9 2 1612 ## 9 Warren 968 4 748 1190 2 844 ## 10 Stokes 1 2 160 2038 5 176 ## 11 Caswell 1035 2 550 1253 371 594 1066 1237 1606 3 1197 ## 6 Hertford 1452 7 954 1838 5 ## 7 254 Camden 286 0 115 350 2 139 ## 8 Gates 420 0 18

  19. plot ( st_geometry (nc), border=’grey’) plot ( st_geometry (nc_pts), pch=16, cex=0.5, add=TRUE) 19

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