Calibrate a basic GWR model
Usage
gwr_basic(
formula,
data,
bw = NA,
adaptive = FALSE,
kernel = c("gaussian", "exp", "bisquare", "tricube", "boxcar"),
longlat = FALSE,
p = 2,
theta = 0,
optim_bw_range = c(0, Inf),
hatmatrix = TRUE,
parallel_method = c("no", "omp", "cuda"),
parallel_arg = c(0),
verbose = FALSE
)
# S3 method for gwrm
step(
object,
...,
criterion = c("AIC"),
threshold = 3,
bw = NA,
optim_bw = c("no", "AIC", "CV")
)
# S3 method for gwrm
plot(x, y, ..., columns)
# S3 method for gwrm
coef(object, ...)
# S3 method for gwrm
fitted(object, ...)
# S3 method for gwrm
residuals(object, ...)
# S3 method for gwrm
predict(object, regression_points, verbose = FALSE, ...)
Arguments
- formula
Regresison model.
- data
A
sf
objects.- bw
The bandwidth used in selecting models. If
NA
or missing, the bandwidth value will be derived from thegwrm
object.- adaptive
Whether the bandwidth value is adaptive or not.
- kernel
Kernel function used.
- longlat
Whether the coordinates
- p
Power of the Minkowski distance, default to 2, i.e., Euclidean distance.
- theta
Angle in radian to roate the coordinate system, default to 0.
- optim_bw_range
Bounds on bandwidth optimization, a vector of two numeric elements. Set to
NA_real_
to enable default values selected by the algorithm.- hatmatrix
If TRUE, great circle will be caculated.
- parallel_method
Parallel method.
- parallel_arg
Parallel method argument.
- verbose
Whether to print additional message.
- object
A "gwrm" object.
- ...
Additional arguments.
- criterion
The model-selection method. Currently there is only AIC available.
- threshold
The threshold of criterion changes. Default to 3.0.
- optim_bw
Whether optimize bandwidth after selecting models. Avaliable values are
no
,AIC
, andCV
. Ifno
is specified, the bandwidth specified by argumentbw
is used in calibrating selected models.- x
A "gwrm" object.
- y
Ignored.
- columns
Column names to plot. If it is missing or non-character value, all coefficient columns are plottd.
- regression_points
Data of new locations.
Functions
step(gwrm)
: Model selection for basic GWR modelplot(gwrm)
: Plot the result of basic GWR model.coef(gwrm)
: Get coefficients of a basic GWR model.fitted(gwrm)
: Get fitted values of a basic GWR model.residuals(gwrm)
: Get residuals of a basic GWR model.predict(gwrm)
: Predict on new locations.
Examples
data(LondonHP)
# Basic usage
gwr_basic(PURCHASE ~ FLOORSZ + UNEMPLOY, LondonHP, 64, TRUE)
#> Geographically Weighted Regression Model
#> ========================================
#> Formula: PURCHASE ~ FLOORSZ + UNEMPLOY
#> Data: LondonHP
#> Kernel: gaussian
#> Bandwidth: 64 (Nearest Neighbours)
#>
#>
#> Summary of Coefficient Estimates
#> --------------------------------
#> Coefficient Min. 1st Qu. Median 3rd Qu. Max.
#> Intercept 13522.222 32504.015 40577.746 48200.526 58693.596
#> FLOORSZ 1121.663 1227.720 1319.804 1626.053 1829.647
#> UNEMPLOY -337280.108 -219604.691 -193278.555 -128408.592 50585.573
#>
#>
#> Diagnostic Information
#> ----------------------
#> RSS: 652228895037
#> ENP: 11.04545
#> EDF: 304.9546
#> R2: 0.63579
#> R2adj: 0.6225549
#> AIC: 7682.378
#> AICc: 7693.041
#>
#>
# Bandwidth Optimization
m <- gwr_basic(PURCHASE ~ FLOORSZ + UNEMPLOY + PROF, LondonHP, 'AIC', TRUE)
m
#> Geographically Weighted Regression Model
#> ========================================
#> Formula: PURCHASE ~ FLOORSZ + UNEMPLOY + PROF
#> Data: LondonHP
#> Kernel: gaussian
#> Bandwidth: 20 (Nearest Neighbours) (Optimized accroding to AIC)
#>
#>
#> Summary of Coefficient Estimates
#> --------------------------------
#> Coefficient Min. 1st Qu. Median 3rd Qu. Max.
#> Intercept -283403.492 -202450.678 -146322.221 -26250.365 75680.532
#> FLOORSZ 908.249 1095.711 1411.257 1864.155 2482.376
#> UNEMPLOY -982984.259 -5935.799 575766.002 1029212.413 1780751.157
#> PROF -16595.354 143221.798 303155.382 379563.029 480351.828
#>
#>
#> Diagnostic Information
#> ----------------------
#> RSS: 348701748965
#> ENP: 40.26956
#> EDF: 275.7304
#> R2: 0.8052821
#> R2adj: 0.7767406
#> AIC: 7506.818
#> AICc: 7546.36
#>
#>
step(m, threshold = 100.0, bw = Inf, optim_bw = "AIC")
#> Geographically Weighted Regression Model
#> ========================================
#> Formula: PURCHASE ~ FLOORSZ + PROF
#> Data: LondonHP
#> Kernel: gaussian
#> Bandwidth: 20 (Nearest Neighbours) (Optimized accroding to AIC)
#>
#>
#> Summary of Coefficient Estimates
#> --------------------------------
#> Coefficient Min. 1st Qu. Median 3rd Qu. Max.
#> Intercept -152579.638 -118714.514 -90913.980 -34294.832 40062.236
#> FLOORSZ 911.526 1101.292 1398.171 1856.190 2455.689
#> PROF 15980.626 153433.054 240159.824 305365.434 374968.876
#>
#>
#> Diagnostic Information
#> ----------------------
#> RSS: 370110146208
#> ENP: 34.53499
#> EDF: 281.465
#> R2: 0.7933274
#> R2adj: 0.7678789
#> AIC: 7521.104
#> AICc: 7554.126
#>
#>
plot(m)
coef(m)
#> Intercept FLOORSZ UNEMPLOY PROF
#> 0 -23859.461 1107.8783 -68568.676 143091.277
#> 1 -19273.643 1099.6911 -105774.018 137317.019
#> 2 -22341.033 1101.6762 -78733.418 139576.718
#> 3 -16587.207 1091.7319 -127715.686 131959.645
#> 4 -4548.212 1071.6907 -236130.771 118805.428
#> 5 36721.681 1025.9964 -574801.771 69162.505
#> 6 41385.027 1015.8069 -621772.017 64587.380
#> 7 41586.375 980.2804 -702105.052 72971.834
#> 8 57682.066 985.6583 -778290.440 47493.741
#> 9 71221.072 928.7546 -982984.259 43974.217
#> 10 71221.072 928.7546 -982984.259 43974.217
#> 11 74619.469 937.5908 -981068.792 35656.125
#> 12 -36611.744 1293.7533 118242.876 111337.546
#> 13 -41112.698 1326.8599 143987.685 114779.442
#> 14 -40110.478 1320.6462 138194.762 113819.779
#> 15 -33091.101 1294.2362 85744.274 105303.803
#> 16 -23071.257 1285.1642 -11537.358 89797.524
#> 17 -25340.399 1292.3173 9974.365 92655.220
#> 18 -23664.457 1290.9835 -7325.338 90061.119
#> 19 -40788.103 1339.5933 133977.982 112868.944
#> 20 -20594.143 1293.7927 -43903.820 84688.294
#> 21 -19987.938 1293.1533 -51824.798 83716.671
#> 22 -31732.566 1325.2556 56141.817 99498.249
#> 23 -19925.638 1298.6693 -54305.801 83082.941
#> 24 -29725.451 1338.4512 26254.767 95071.690
#> 25 -24568.662 1305.8243 -4546.260 89908.455
#> 26 -34640.129 1347.4549 69428.751 102184.662
#> 27 -30890.868 1345.7680 32633.917 96348.212
#> 28 -32685.382 1338.3860 -49922.575 124119.833
#> 29 -25031.866 1318.5557 -73244.469 112769.198
#> 30 -28116.265 1121.2863 43412.634 129466.851
#> 31 -26149.241 1357.6589 -85303.026 108194.827
#> 32 -28815.881 1363.0023 -76497.373 112363.623
#> 33 -24015.706 1147.3150 39287.822 113082.394
#> 34 -26379.748 1137.6319 53964.126 119851.269
#> 35 -26034.543 1088.9505 2927.169 135083.755
#> 36 -23218.692 1378.8505 -104683.173 98601.243
#> 37 -36255.268 1134.3452 120112.460 139922.245
#> 38 -15897.099 1404.6278 -143720.880 79841.433
#> 39 -21289.621 1413.4258 -124270.598 88403.005
#> 40 -8452.456 1029.1179 -185083.061 128044.334
#> 41 -4320.913 1025.9978 -215601.270 122376.737
#> 42 -4320.913 1025.9978 -215601.270 122376.737
#> 43 -5809.548 1036.7680 -186788.099 122370.745
#> 44 -4341.754 1028.1755 -208168.502 121619.580
#> 45 -10383.573 1409.0873 -165291.742 68025.326
#> 46 -8824.776 1021.5504 -188262.545 129078.178
#> 47 -10137.012 1037.5851 -150487.877 128097.150
#> 48 16566.925 1217.5195 -212082.833 47962.183
#> 49 -18834.233 1038.5697 -92604.819 141155.663
#> 50 -21084.132 1047.5924 -64879.463 143221.798
#> 51 -21084.132 1047.5924 -64879.463 143221.798
#> 52 -27308.114 1047.4202 -27747.822 152371.073
#> 53 -26071.929 1047.7922 -31162.659 150660.710
#> 54 4523.811 1189.1320 -139133.905 73502.804
#> 55 18450.195 1230.7297 -211385.065 40595.420
#> 56 -78025.383 1354.7924 435490.767 178018.253
#> 57 -93045.927 1420.6569 517467.533 196609.487
#> 58 -124481.080 1530.2091 695353.082 238166.572
#> 59 -103520.116 1432.8200 578416.543 214480.538
#> 60 -193744.426 1836.5844 1195282.350 313344.383
#> 61 -193274.433 1827.4748 1186073.610 314044.847
#> 62 -193735.300 1825.3512 1180397.449 315575.882
#> 63 -195926.529 1854.6350 1208500.148 314192.406
#> 64 -197873.004 1886.5766 1239754.544 312166.889
#> 65 -194683.519 1830.6797 1182174.626 316625.208
#> 66 -198909.405 1899.4295 1250951.410 311810.090
#> 67 -197964.562 1879.5361 1230244.102 313695.386
#> 68 -196984.343 1861.0807 1211169.372 315231.984
#> 69 -199370.654 1899.3408 1248412.783 312758.159
#> 70 -195286.393 1830.4182 1177983.402 318069.911
#> 71 -201488.734 1916.1275 1258174.219 313959.437
#> 72 -201075.847 1899.3392 1238432.960 316410.372
#> 73 -122966.902 1459.8109 647646.765 252063.226
#> 74 -204142.372 1958.3516 1295831.472 311457.756
#> 75 -201754.049 1904.2279 1240770.944 316919.889
#> 76 -111809.258 1416.8823 578410.941 239681.550
#> 77 -140907.059 1526.6295 740957.406 274837.743
#> 78 -131236.761 1494.6460 684095.951 262915.812
#> 79 -76973.771 1131.9787 312000.704 225259.894
#> 80 -166798.513 1610.4826 878728.070 309109.787
#> 81 -86408.882 1146.9463 341470.102 244299.111
#> 82 -157393.834 1588.5383 786840.399 300532.618
#> 83 -91026.229 1160.3658 357390.550 252453.030
#> 84 -25368.714 1130.8292 81559.990 128297.807
#> 85 -42356.065 1213.7833 99044.118 153624.002
#> 86 -41753.667 1212.7656 98886.546 152150.647
#> 87 -52290.457 1195.5067 148326.050 176003.075
#> 88 -53536.422 1204.0584 147749.251 177443.631
#> 89 -53110.102 1194.8885 152241.799 177626.600
#> 90 -42906.561 1136.7366 148773.176 162973.927
#> 91 -32589.425 1217.6497 67368.699 131583.483
#> 92 -40843.722 1177.7670 120739.369 153760.651
#> 93 -145324.943 1519.6628 546163.529 313250.136
#> 94 -40386.797 1184.1628 116057.451 151812.256
#> 95 -40386.797 1184.1628 116057.451 151812.256
#> 96 -63693.673 1393.2761 57803.458 167024.604
#> 97 -146913.332 1527.2560 524210.507 318967.579
#> 98 -25772.967 1362.7696 -28933.103 91071.393
#> 99 -150526.185 1539.6434 543690.461 323316.529
#> 100 -144832.760 1486.5406 507171.097 322256.518
#> 101 -151929.878 1551.6849 542438.980 325106.777
#> 102 -146354.685 1477.7322 505330.717 327697.663
#> 103 -141004.141 1404.4299 478929.579 329343.642
#> 104 -54724.575 1397.8204 31856.728 145557.540
#> 105 -151899.631 1525.4163 520851.615 332052.394
#> 106 -136652.717 1343.7679 463386.721 329991.761
#> 107 -65783.213 1384.1013 67412.271 171642.120
#> 108 -163943.930 1649.6199 573121.062 335345.387
#> 109 -34302.484 1363.7123 -1879.183 105520.383
#> 110 -61906.708 1379.5745 59876.558 163408.921
#> 111 -63902.406 1383.8854 62257.153 167059.742
#> 112 -63298.209 1367.4527 70201.259 168259.170
#> 113 -183968.599 1906.1663 1114035.672 308271.037
#> 114 -209792.314 2143.1224 1458701.054 300109.720
#> 115 -213246.943 2166.3855 1468408.666 302170.075
#> 116 -213246.943 2166.3855 1468408.666 302170.075
#> 117 -210074.356 2140.1829 1440752.767 302284.363
#> 118 -183629.433 1906.6000 1139288.166 306983.913
#> 119 -183993.702 1906.1384 1109886.220 309212.354
#> 120 -211804.106 2143.6217 1419408.634 306323.115
#> 121 -253005.740 2265.0371 1370802.789 355680.491
#> 122 -253005.740 2265.0371 1370802.789 355680.491
#> 123 -274609.504 2261.1436 1550146.420 384463.687
#> 124 -273937.830 2273.4631 1546274.739 380747.174
#> 125 -253697.283 2246.2771 1388624.390 358241.762
#> 126 -206840.192 2098.9941 1361132.055 307846.578
#> 127 -206840.192 2098.9941 1361132.055 307846.578
#> 128 -263024.542 2195.0258 1465714.426 381322.743
#> 129 -270635.461 2219.7017 1526105.795 386272.348
#> 130 -272066.870 2214.6770 1540644.182 388321.284
#> 131 -272066.870 2214.6770 1540644.182 388321.284
#> 132 -272079.659 2198.1240 1553363.326 388180.809
#> 133 -235777.875 2061.2737 1263976.447 369054.706
#> 134 -261706.572 2110.3258 1445845.135 393564.654
#> 135 -254731.596 2113.1494 1412781.954 384817.765
#> 136 -259503.610 2064.1820 1419938.337 397565.035
#> 137 -258036.926 2101.5268 1431673.539 390736.463
#> 138 -264122.205 2208.2201 1597252.244 375067.867
#> 139 -265448.390 2130.8937 1523111.088 392814.994
#> 140 -248885.929 1984.5707 1303652.667 399801.952
#> 141 -279219.764 2268.7836 1780751.157 379345.412
#> 142 -106422.532 1255.2841 307829.406 281862.698
#> 143 -90130.375 975.2943 296861.750 303719.651
#> 144 32993.857 912.6665 -25733.363 46812.090
#> 145 -102823.614 1248.8238 290192.497 275297.248
#> 146 33310.199 915.6290 34428.970 25819.327
#> 147 -6129.054 916.6483 200930.983 93245.565
#> 148 -87080.550 967.1367 280205.225 301798.130
#> 149 34926.743 913.5507 14063.087 27206.439
#> 150 32979.912 916.9892 31195.599 27460.728
#> 151 -101418.346 1247.6201 281882.055 272619.900
#> 152 -65242.960 935.8904 211718.575 263563.062
#> 153 23783.236 917.5440 81913.187 39732.241
#> 154 38912.204 917.1887 -22495.545 25687.728
#> 155 69882.546 924.8565 -186561.929 -16241.233
#> 156 69882.546 924.8565 -186561.929 -16241.233
#> 157 -220114.101 2250.7113 1615287.068 302591.113
#> 158 75680.532 922.7330 -237153.620 -16595.354
#> 159 44065.949 922.1580 -57014.463 20137.213
#> 160 24849.866 921.0858 61272.655 42016.637
#> 161 44226.644 925.5689 -57629.253 19454.057
#> 162 -2678.568 908.2490 195129.322 86609.356
#> 163 -218354.071 2203.3357 1586624.357 308106.132
#> 164 66702.201 927.2640 -182038.638 -9238.404
#> 165 -24796.663 911.6317 263383.579 131323.332
#> 166 -225630.587 2452.7718 1723723.295 279479.326
#> 167 -39282.423 923.0486 298060.889 161755.717
#> 168 -84730.694 1167.1956 259336.935 244247.937
#> 169 -81907.907 1171.5208 241881.914 237374.318
#> 170 -94606.134 1238.2614 243879.824 259861.513
#> 171 -226743.760 2482.3762 1725632.703 276027.308
#> 172 -83365.769 1166.4158 248518.543 241734.199
#> 173 -226340.398 2317.8543 1638659.114 305914.122
#> 174 -84759.759 1160.6337 257348.335 245823.797
#> 175 -221668.705 2329.8940 1548044.956 299929.659
#> 176 -194759.918 1752.7725 929105.573 381505.707
#> 177 -195129.656 1768.9584 981662.174 375850.711
#> 178 -194052.703 1759.3443 927403.697 379638.693
#> 179 -190654.570 1707.9721 772953.463 394178.986
#> 180 -191406.417 1695.9069 716261.396 402051.169
#> 181 -203763.265 2017.7502 1177656.835 338238.264
#> 182 -201277.267 2001.1566 1128376.805 339155.284
#> 183 -198474.694 1972.8412 1059310.587 343715.421
#> 184 -197355.796 1958.8821 1027800.199 345957.172
#> 185 -202800.333 2008.4550 1144348.189 341545.231
#> 186 -195930.789 1939.1237 1014551.587 349062.843
#> 187 -207768.636 2021.9519 1197288.304 346653.332
#> 188 -207768.636 2021.9519 1197288.304 346653.332
#> 189 -197802.413 1530.0578 609933.161 450072.555
#> 190 -207169.882 2028.6115 1178984.359 346520.414
#> 191 -206509.952 2026.5245 1172478.286 346034.942
#> 192 -206715.400 2027.6282 1167953.120 347149.886
#> 193 -199057.268 1966.2572 1063461.707 347107.596
#> 194 -137105.753 1166.7426 439383.656 374397.109
#> 195 -186608.841 1702.2111 660546.619 409356.648
#> 196 -210597.354 1612.6948 678233.643 457423.506
#> 197 -179454.934 1810.6647 1012255.350 333165.630
#> 198 -180583.931 1810.2878 1025736.258 335130.899
#> 199 -180763.373 1809.4881 1028900.351 335532.599
#> 200 -181077.182 1811.0613 1029524.475 335929.559
#> 201 -179160.823 1812.5585 997629.218 333135.218
#> 202 -179757.639 1813.6065 1002948.396 334034.891
#> 203 -35983.237 1050.9548 -113582.373 182970.385
#> 204 -189019.300 1421.9912 602838.237 445342.324
#> 205 -97599.864 1085.9401 275072.660 310360.048
#> 206 -97599.864 1085.9401 275072.660 310360.048
#> 207 -81675.314 1065.7517 188765.366 279896.365
#> 208 -216979.592 1852.1494 963569.328 409713.895
#> 209 -213844.462 1864.4895 986102.144 399738.351
#> 210 -215403.146 1863.6802 976209.171 403501.341
#> 211 -31362.918 1040.5642 -144789.201 176802.658
#> 212 -187188.101 1705.5391 932200.737 383427.364
#> 213 -217765.714 1868.9346 1003802.364 404267.257
#> 214 -69403.675 1058.7749 102299.099 259040.239
#> 215 -220352.915 1871.1802 1022873.382 406704.731
#> 216 -217480.886 1876.0205 1011974.207 401622.418
#> 217 -220302.356 1874.8819 1032789.661 404909.517
#> 218 -232148.420 1681.0334 819255.932 480122.068
#> 219 -35639.926 1048.8612 -139004.580 190818.451
#> 220 -34927.508 1047.3951 -142988.884 189338.564
#> 221 -219310.812 1878.9996 1024412.293 403118.191
#> 222 -28792.693 1032.5003 -167373.719 175356.373
#> 223 -197143.739 1863.8215 830769.405 385106.338
#> 224 -222930.980 1881.9983 1058135.931 405661.593
#> 225 -223762.909 1882.2014 1063980.614 406556.337
#> 226 -214215.939 1582.0998 719084.024 465381.389
#> 227 -197105.159 1869.0983 817972.033 385155.706
#> 228 -183318.261 1665.6276 900696.888 385187.193
#> 229 -261068.589 1858.6649 1125415.789 476082.591
#> 230 -260606.969 1846.7319 1110739.467 478518.264
#> 231 -183259.555 1672.2453 894299.371 384170.578
#> 232 -259683.437 1834.0735 1094408.425 480351.828
#> 233 -214961.134 1584.4408 728919.631 465726.368
#> 234 -179031.339 1639.6687 896171.238 380794.541
#> 235 -231327.932 1664.8498 829707.490 478625.995
#> 236 -178427.128 1634.7771 892493.508 380680.128
#> 237 -270840.653 1894.2030 1222331.222 476733.970
#> 238 -268653.461 1879.6219 1194730.439 478190.768
#> 239 -201339.902 1917.6566 790984.172 385170.956
#> 240 -5446.985 957.6556 -295179.152 143081.881
#> 241 -5561.775 958.6462 -290121.835 142075.296
#> 242 -5561.775 958.6462 -290121.835 142075.296
#> 243 -7071.014 966.4910 -272207.741 141290.505
#> 244 -7184.705 965.4910 -302102.017 149148.883
#> 245 -9970.831 977.8190 -297961.533 155349.564
#> 246 -8414.991 972.3714 -296203.396 150675.239
#> 247 -179877.745 1682.9628 854011.738 376944.324
#> 248 -9480.627 981.9215 -255100.428 142425.559
#> 249 -182318.374 1702.2505 831173.282 380777.741
#> 250 -201977.508 1939.8453 753373.831 385070.046
#> 251 -15317.128 1000.3804 -280517.834 165480.605
#> 252 -11759.616 988.2017 -285874.615 156691.195
#> 253 -11759.616 988.2017 -285874.615 156691.195
#> 254 -182472.544 1709.1154 833648.576 379487.366
#> 255 -19526.312 1016.5120 -263485.794 173308.195
#> 256 -14713.160 1000.0623 -278727.278 162985.122
#> 257 -13155.596 997.1770 -270715.811 156059.324
#> 258 -180571.694 1705.9064 853153.275 373788.166
#> 259 -25680.657 1054.0299 -99288.854 142302.914
#> 260 -205513.210 1965.4399 758691.628 385355.120
#> 261 -15848.140 1012.0292 -250764.029 157492.917
#> 262 -26351.489 1056.1317 -96430.753 143581.961
#> 263 -28583.728 1061.0439 -85538.406 147793.302
#> 264 -202101.022 1941.5929 763743.561 383015.182
#> 265 -73808.560 1079.9328 138050.080 269583.248
#> 266 -17572.732 1019.2257 -249939.278 162049.727
#> 267 -181868.033 1730.2769 854140.191 371618.790
#> 268 -183290.591 1741.4968 836831.704 374254.228
#> 269 -63506.859 1078.5385 71984.022 248822.673
#> 270 -17789.174 1024.6133 -224816.708 155019.202
#> 271 -55335.689 1077.7769 16587.753 232435.701
#> 272 -19483.285 1033.1694 -223354.243 159090.889
#> 273 -26510.244 1059.3551 -97114.373 144078.606
#> 274 -14369.313 1014.3687 -319467.143 169451.681
#> 275 -28185.003 1063.5982 -89241.103 147349.031
#> 276 -87681.452 1100.4286 232686.961 293368.822
#> 277 -39965.296 1080.8956 -90548.886 201044.788
#> 278 -275800.381 2045.3834 1308612.532 441037.442
#> 279 -283403.492 2002.1007 1390993.773 454040.616
#> 280 -179587.437 1805.0297 648027.534 370759.072
#> 281 -261940.811 2005.8321 1237007.218 429356.415
#> 282 -179608.874 1787.1464 676652.178 371229.855
#> 283 -179608.874 1787.1464 676652.178 371229.855
#> 284 -179075.247 1815.4151 635910.576 368599.877
#> 285 -178835.912 1848.1077 595288.781 365933.284
#> 286 -178835.912 1848.1077 595288.781 365933.284
#> 287 -180713.578 1803.7210 675375.160 370697.690
#> 288 -180359.295 1858.7331 605414.898 366348.047
#> 289 -257315.936 2014.6814 1196296.513 422838.600
#> 290 -257315.936 2014.6814 1196296.513 422838.600
#> 291 -271949.791 1961.9545 1335905.853 444561.271
#> 292 -164178.612 1300.9616 603010.389 411755.380
#> 293 -164178.612 1300.9616 603010.389 411755.380
#> 294 -203905.629 1946.0869 803361.083 376399.740
#> 295 -162543.882 1299.1293 596652.152 408245.055
#> 296 -159553.339 1286.8513 590452.314 403798.940
#> 297 -200857.248 1922.7553 803543.763 374637.196
#> 298 -242352.959 1724.8751 1180500.148 442819.355
#> 299 -172513.554 1332.4961 689527.592 416352.409
#> 300 -203628.168 1932.7010 818126.619 375991.424
#> 301 -163085.568 1303.7578 601060.564 407992.721
#> 302 -170817.621 1327.4445 678172.767 414333.092
#> 303 -237430.009 1712.1826 1129331.641 441340.212
#> 304 -146289.758 1244.6034 532502.169 383851.304
#> 305 -231497.044 1713.4655 1061125.192 437716.510
#> 306 -231497.044 1713.4655 1061125.192 437716.510
#> 307 -167186.917 1318.7074 645874.061 410358.176
#> 308 -159834.006 1292.9478 596615.062 402152.013
#> 309 -164364.712 1315.3763 612881.176 407084.355
#> 310 -217285.056 1640.7157 935289.417 434958.416
#> 311 -216815.581 1633.8806 932161.097 435410.293
#> 312 -213511.226 1604.3888 915380.591 434951.474
#> 313 -210782.000 1537.2801 1011121.106 427192.580
#> 314 -208633.633 1520.0156 1020292.826 424077.075
#> 315 -209256.550 1529.6582 1005234.147 425801.420
fitted(m)
#> [1] 127499.16 125164.02 112173.27 145740.98 158572.52 158491.40 139519.98
#> [8] 206972.84 158200.85 310010.65 227351.49 218960.30 143220.87 129807.56
#> [15] 89995.81 130354.15 90211.23 112505.24 100529.15 135172.39 222632.44
#> [22] 144012.54 109387.37 181885.59 137308.40 74666.91 82799.36 69315.74
#> [29] 210992.36 129999.13 84123.75 138678.51 111355.96 91975.56 69502.30
#> [36] 194693.87 210217.83 134452.03 178036.27 224789.37 245500.73 95455.14
#> [43] 88273.16 133334.56 124413.89 241427.40 74161.21 78136.69 218928.78
#> [50] 106340.82 169987.75 95608.69 58249.97 77885.82 184405.09 214704.59
#> [57] 88850.94 110309.07 126240.73 125366.84 200586.18 139873.13 95789.07
#> [64] 92625.71 150260.92 126808.83 127488.29 137083.02 198577.49 76197.29
#> [71] 271355.74 225056.12 186411.25 133664.75 85402.28 104651.96 117459.04
#> [78] 128036.70 121716.49 152546.57 158933.80 82575.00 238878.12 100010.44
#> [85] 85791.93 182472.53 120449.76 118575.72 92099.87 113849.31 110690.83
#> [92] 174556.92 80145.58 136588.43 169086.76 150140.16 115737.39 101469.37
#> [99] 145227.66 118511.82 167107.16 109243.29 88585.50 242955.79 79378.95
#> [106] 127614.29 121545.07 221263.43 80682.45 113378.86 145492.05 119319.93
#> [113] 116681.58 82661.75 172999.72 138764.74 190757.99 222518.95 85506.44
#> [120] 64904.09 178798.15 190168.79 110892.50 143761.39 154277.19 97604.29
#> [127] 291461.55 257877.64 94640.19 208159.72 165224.00 165224.00 151290.31
#> [134] 167588.66 217979.40 226493.64 171776.77 155648.95 364497.82 167899.98
#> [141] 266448.48 223277.77 96409.28 136769.53 133117.59 146731.33 124868.29
#> [148] 112214.28 89341.76 92785.94 195532.44 159246.64 98452.35 133977.09
#> [155] 92730.06 101848.38 122195.22 99402.13 85875.64 139685.29 151761.46
#> [162] 122298.83 91801.67 71759.19 103465.56 162734.57 191940.83 109429.59
#> [169] 142043.58 105635.98 115799.61 190189.77 153476.63 96799.46 69744.52
#> [176] 59887.01 236669.12 123338.65 258327.69 154163.26 128833.96 266028.69
#> [183] 172463.07 101087.43 168896.74 211663.47 267993.41 157508.20 189859.43
#> [190] 98483.36 182981.98 324772.61 284562.80 111690.74 190104.97 229384.54
#> [197] 102329.40 203315.69 98257.16 199011.39 189526.16 29301.32 85444.79
#> [204] 102182.68 101199.14 126970.15 157376.48 116600.51 201941.58 473638.83
#> [211] 238476.13 69947.46 98368.29 249977.84 94705.44 298782.50 163373.63
#> [218] 259588.75 170418.05 203631.46 128055.58 187735.57 54584.57 116050.19
#> [225] 150223.92 251893.98 151317.37 139859.38 92479.20 184030.61 223807.81
#> [232] 249585.05 136484.75 167951.05 101563.89 243140.99 124537.19 195726.52
#> [239] 392094.05 252110.12 66016.73 59265.33 60223.98 49354.09 83946.82
#> [246] 82585.35 139290.60 145358.97 101306.71 233300.88 105597.50 108233.26
#> [253] 64887.09 120226.38 202500.01 151900.23 123070.09 81415.24 148013.39
#> [260] 108686.92 107389.62 106171.85 97151.90 102545.61 212435.41 156584.38
#> [267] 118789.70 292908.48 234944.84 237834.63 126033.01 134768.95 116266.56
#> [274] 113266.15 117398.56 123036.64 189083.55 177843.09 177311.27 153847.32
#> [281] 95360.61 480631.66 124282.88 106411.42 148410.65 74269.14 76117.24
#> [288] 53838.43 168657.63 186187.34 190216.70 111677.61 129698.53 111485.06
#> [295] 139138.38 119943.11 93029.78 183253.13 165111.37 98423.79 334041.46
#> [302] 157366.98 94506.98 182319.80 132068.58 184899.80 184899.80 100360.59
#> [309] 55561.10 93337.84 148125.06 116780.66 218463.36 237880.69 109360.91
#> [316] 395050.44
residuals(m)
#> [1] 29500.83727 -11664.02426 -30423.26922 4259.02140 31427.47974
#> [6] 1458.60153 10475.01914 32977.16014 -5200.85365 -60060.65054
#> [11] 19648.50946 42039.70312 -40220.86616 -6307.56374 13004.18953
#> [16] -30354.14691 -261.23411 -17505.24130 -11029.14767 827.61462
#> [21] 47367.56215 -9012.53917 5612.62733 13114.41458 -13308.40429
#> [26] 9333.08684 4200.64287 -5365.73785 19007.64109 12000.86749
#> [31] 11876.25385 -11678.51497 644.03992 3024.44188 497.70342
#> [36] -34693.86840 -23717.82544 -14452.02807 41963.72638 12710.63149
#> [41] -15500.72828 -18455.14279 -43273.15800 -8334.55778 50586.11427
#> [46] 118572.59862 -18661.21422 6863.31313 30071.22026 -36390.82376
#> [51] -20037.74660 11391.31341 8250.03190 -8385.82244 10594.91023
#> [56] 30295.41072 16149.05531 14690.92630 53709.27003 -2366.84458
#> [61] 24413.81773 7126.86790 13210.92960 -2675.71484 -15260.91514
#> [66] 2191.17388 7511.71464 -83.02417 -83577.48930 3752.71245
#> [71] 77644.26079 -45056.12000 19588.74655 -3665.74732 3597.72233
#> [76] 28348.03682 6040.96237 -46036.70433 -21716.49448 -58046.57171
#> [81] 42066.20239 -11575.00237 6121.87664 8489.56446 2158.06727
#> [86] -60972.52874 -11449.76430 -13580.71536 7850.13103 -15849.30625
#> [91] -20690.82730 -5556.92344 49849.42386 -6588.42967 -42086.76106
#> [96] -25140.15628 18262.61008 -11469.36813 -10727.66002 -21011.82295
#> [101] -607.15697 13756.71300 8914.49642 30044.20529 4621.05071
#> [106] 24385.70853 -41545.07111 13736.57301 33817.54901 -14428.85818
#> [111] 12507.95395 -31319.92980 3318.41500 6838.24848 7000.27804
#> [116] -23764.73635 -45757.98853 27431.05153 29493.55597 22095.90660
#> [121] -23798.15003 -13168.79464 52107.50309 -58761.39491 722.80916
#> [126] 43395.70695 46538.45119 12122.35639 13359.81497 58340.28028
#> [131] -20224.00234 -20224.00234 -41290.30711 -15088.66099 -87979.40051
#> [136] 8506.36157 -15276.76663 22851.05298 155502.18157 4100.01917
#> [141] -56448.48261 -33277.76779 3590.72106 -22658.52640 38882.40555
#> [146] 23268.66954 15131.71422 -12219.28425 -2341.75756 -9785.93731
#> [151] -33532.43734 -16246.64019 -10952.34853 -43977.08509 21269.94500
#> [156] 5651.62323 -24195.22027 24597.86640 -13375.63822 -1185.29078
#> [161] 26738.54439 9701.17116 -21801.67345 31240.80745 34.44375
#> [166] 35265.43006 -81940.82576 19570.40738 -12048.57904 -30635.97991
#> [171] -20804.61369 26810.22622 -24476.62995 200.53866 -4744.51983
#> [176] 50112.99191 -56669.11801 48661.34974 36672.30628 130836.74240
#> [181] 48666.04336 8971.30916 -34963.06768 12912.57329 44353.26324
#> [186] -36663.47176 -47993.40677 -508.19717 -16859.42707 86516.64054
#> [191] 7018.02355 100227.39363 95437.19629 9309.25936 9895.02655
#> [196] -9384.54294 62670.59588 42184.31393 16692.84121 -44011.39370
#> [201] -52526.15594 23698.67980 16555.20583 -10187.68443 47300.86169
#> [206] 4029.84765 -22376.47570 -21600.50987 9058.41689 -83638.83347
#> [211] -3476.13277 3552.53670 -368.29161 28022.16433 -6705.44183
#> [216] -28782.50157 -21373.63361 8411.24766 39581.94822 9368.53761
#> [221] -4055.58195 -14235.56999 -9584.57147 -33050.18664 8776.07788
#> [226] 43106.01529 -24817.37303 140.61709 5020.80237 5919.38837
#> [231] -33807.81101 -31585.05478 -21484.75357 -2951.04855 32436.10747
#> [236] 37059.00542 7462.81223 -5726.51639 107905.95358 -72110.11678
#> [241] 3978.27173 -1515.33438 -5223.98055 10145.90697 -10446.81953
#> [246] -6585.35271 -49290.60190 -40358.96573 5193.29488 4699.11568
#> [251] -1597.50184 1766.73731 -5387.08841 12273.61640 -12500.01008
#> [256] -26900.22933 4929.91373 584.75547 -16013.38840 -48691.91674
#> [261] 10610.37923 11828.15318 -2651.89966 -23545.61219 10064.59155
#> [266] 28415.61857 14460.30451 -908.48419 8055.15919 -22834.63155
#> [271] 966.99243 13231.04831 19733.44492 21733.84751 7601.43516
#> [276] 963.36391 -19583.55483 32656.90947 -17311.26945 1152.67859
#> [281] -20360.61001 86868.33594 -4332.88121 12588.58283 -8410.65382
#> [286] 25680.86406 22382.75640 27111.57215 -1657.62824 -24187.33794
#> [291] -7216.70066 7322.38576 13301.47221 -14535.06494 -4138.38479
#> [296] 37556.88659 14970.22256 -68253.12808 -61611.36563 37076.21451
#> [301] 75958.54098 22633.01610 -17506.98100 -40069.80488 -48068.58408
#> [306] -24899.80140 -24899.80140 12639.41200 12438.90329 -9337.84319
#> [311] 1874.94495 -6780.65807 19036.63999 17119.30687 20639.08727
#> [316] -115050.44316
predict(m, LondonHP)
#> Simple feature collection with 316 features and 6 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: 507400 ymin: 159400 xmax: 552300 ymax: 194900
#> CRS: NA
#> First 10 features:
#> Intercept FLOORSZ UNEMPLOY PROF yhat residual
#> 0 -23859.461 1107.8783 -68568.68 143091.28 127499.2 29500.837
#> 1 -19273.643 1099.6911 -105774.02 137317.02 125164.0 -11664.024
#> 2 -22341.033 1101.6762 -78733.42 139576.72 112173.3 -30423.269
#> 3 -16587.207 1091.7319 -127715.69 131959.65 145741.0 4259.021
#> 4 -4548.212 1071.6907 -236130.77 118805.43 158572.5 31427.480
#> 5 36721.681 1025.9964 -574801.77 69162.51 158491.4 1458.602
#> 6 41385.027 1015.8069 -621772.02 64587.38 139520.0 10475.019
#> 7 41586.375 980.2804 -702105.05 72971.83 206972.8 32977.160
#> 8 57682.066 985.6583 -778290.44 47493.74 158200.9 -5200.854
#> 9 71221.072 928.7546 -982984.26 43974.22 310010.7 -60060.651
#> geometry
#> 0 POINT (533200 159400)
#> 1 POINT (533300 159700)
#> 2 POINT (532000 159800)
#> 3 POINT (531900 160100)
#> 4 POINT (532800 160300)
#> 5 POINT (535700 161700)
#> 6 POINT (535600 161800)
#> 7 POINT (533400 161900)
#> 8 POINT (535500 162200)
#> 9 POINT (534200 162500)