Moran's I is calculated for each polygon based on the neighbor and weight lists.
Arguments
- x
A numeric vector.
- nb
a neighbor list object for example as created by
st_contiguity().- wt
a weights list as created by
st_weights().- alternative
default
"two.sided". Should be one of"greater","less", or"two.sided"to specify the alternative hypothesis.- nsim
The number of simulations to run.
- ...
See
?spdep::localmoran_perm()for more options.
Value
a data.frame containing the columns ii, eii, var_ii, z_ii, p_ii, p_ii_sim, and p_folded_sim. For more details please see spdep::localmoran_perm().
Details
local_moran() calls spdep::localmoran_perm() and calculates the Moran I for each polygon. As well as provide simulated p-values.
See also
Other stats:
st_lag()
Examples
local_moran(guerry_nb$crime_pers, guerry_nb$nb, guerry_nb$wt)
#> ii eii var_ii z_ii p_ii p_ii_sim
#> 1 0.522264520 -2.408047e-02 0.3258940389 0.95703705 0.338548553 0.360
#> 2 0.828016509 3.105957e-02 0.1272122969 2.23444829 0.025453591 0.028
#> 3 0.803539971 -3.987460e-03 0.1450022324 2.12065460 0.033950879 0.044
#> 4 0.741889657 3.976254e-03 0.2225556195 1.56417779 0.117775821 0.076
#> 5 0.231187184 1.730079e-03 0.0377776702 1.18054874 0.237782036 0.276
#> 6 0.838909799 -6.666156e-02 0.2865830301 1.69159909 0.090722441 0.108
#> 7 0.622605215 -9.351619e-02 1.2442898879 0.64198646 0.520881972 0.516
#> 8 1.646789439 -7.708404e-02 1.1107090107 1.63570598 0.101901138 0.104
#> 9 -0.019758073 7.642344e-04 0.0005011734 -0.91671043 0.359294397 0.404
#> 10 0.695261432 3.043380e-03 0.0635252403 2.74643777 0.006024632 0.012
#> 11 1.728228681 -4.462139e-02 0.3615186387 2.94853754 0.003192814 0.008
#> 12 0.831530992 -1.924987e-02 0.2574007981 1.67692164 0.093557806 0.068
#> 13 -0.216110795 -3.485924e-03 0.0341808624 -1.15006545 0.250116917 0.280
#> 14 0.294784885 -1.651847e-03 0.0110543556 2.81945587 0.004810514 0.008
#> 15 -0.187033812 -2.897899e-02 0.0922659616 -0.52033975 0.602826796 0.576
#> 16 -0.047760501 6.591588e-03 0.0055675095 -0.72842654 0.466352522 0.520
#> 17 0.252948279 5.635657e-03 0.0126876085 2.19561605 0.028119436 0.044
#> 18 0.055058947 -1.521321e-02 0.0633659047 0.27916148 0.780120902 0.780
#> 19 0.872358990 -4.721759e-02 0.3992400429 1.45536142 0.145569232 0.168
#> 20 0.845313303 6.452693e-02 0.4502980837 1.16354229 0.244609549 0.272
#> 21 0.544842074 -5.256889e-02 0.8790161461 0.63719852 0.523995538 0.504
#> 22 -0.051046792 -1.544307e-03 0.0062971672 -0.62381295 0.532750433 0.556
#> 23 -0.689130071 -1.580395e-02 0.6676122694 -0.82406849 0.409900645 0.404
#> 24 0.686933419 -1.257361e-02 0.1860041742 1.62192488 0.104819434 0.080
#> 25 -0.106623626 2.821987e-03 0.0912399294 -0.36233133 0.717104449 0.700
#> 26 0.039027064 -4.002331e-03 0.0063800086 0.53870947 0.590087340 0.604
#> 27 1.129525109 3.120290e-02 0.9436273603 1.13065342 0.258200993 0.276
#> 28 1.182045274 -4.575685e-02 0.1419146924 3.25922769 0.001117160 0.004
#> 29 0.163959819 -7.611761e-04 0.0048145826 2.37393943 0.017599437 0.020
#> 30 0.069859097 -3.666453e-03 0.0058109235 0.96452991 0.334780321 0.400
#> 31 0.021778578 -2.519572e-03 0.0809302554 0.08541177 0.931934033 0.916
#> 32 1.012163106 -5.855668e-02 0.2522501986 2.13186681 0.033017797 0.048
#> 33 0.279597476 7.134779e-03 0.0158028218 2.16740329 0.030204116 0.044
#> 34 0.428197017 2.489584e-02 0.4861576344 0.57841684 0.562982726 0.608
#> 35 -0.102477591 -1.514061e-03 0.0026260367 -1.97021732 0.048813469 0.060
#> 36 0.015833610 -6.073850e-03 0.0045715247 0.32401229 0.745928732 0.796
#> 37 0.561451620 -1.492566e-02 0.1478899084 1.49877894 0.133930990 0.148
#> 38 -0.027912803 -3.038966e-03 0.0239512297 -0.16072331 0.872311328 0.828
#> 39 0.112523886 -2.614343e-03 0.0054243212 1.56331627 0.117978224 0.112
#> 40 -0.083982431 -3.359011e-02 0.1621159520 -0.12515594 0.900400095 0.992
#> 41 0.285172503 -1.741375e-02 0.0615599074 1.21955171 0.222634862 0.244
#> 42 -0.049545329 -9.886557e-05 0.0019303732 -1.12541992 0.260411135 0.284
#> 43 -0.016027706 -3.539312e-03 0.0135392326 -0.10732714 0.914529451 0.916
#> 44 0.840170458 -4.246787e-02 0.6658084959 1.08170320 0.279384429 0.292
#> 45 -0.162657608 4.260103e-03 0.0316424446 -0.93835550 0.348061745 0.372
#> 46 1.616626620 -1.153486e-01 0.5160278502 2.41104380 0.015906938 0.016
#> 47 0.401435540 -2.206250e-03 0.2106435273 0.87947209 0.379145357 0.404
#> 48 0.872608337 -7.550110e-02 0.5033705248 1.33633265 0.181440569 0.220
#> 49 -0.471949223 1.721254e-03 0.0591416866 -1.94773319 0.051446897 0.068
#> 50 0.265466518 -1.132465e-02 0.1286539554 0.77168606 0.440300386 0.440
#> 51 1.441699896 -2.363008e-02 0.2651858469 2.84551097 0.004434023 0.008
#> 52 -0.383762557 -3.629025e-02 0.1817484500 -0.81505111 0.415043055 0.456
#> 53 0.392685859 8.569075e-03 0.0756353677 1.39669257 0.162506039 0.168
#> 54 0.319995929 2.483578e-03 0.0549454822 1.35454872 0.175561382 0.172
#> 55 0.069614844 1.858600e-02 0.6311830176 0.06423002 0.948787074 0.936
#> 56 0.410365993 -1.556149e-03 0.0854420288 1.40922183 0.158769585 0.160
#> 57 0.988650255 5.737763e-03 0.2606203940 1.92535429 0.054185050 0.084
#> 58 0.205022085 3.157640e-03 0.2053067850 0.44551074 0.655950699 0.696
#> 59 0.723039856 -1.080587e-02 0.2258413719 1.54419812 0.122540344 0.140
#> 60 0.608607689 2.916701e-02 0.1003802451 1.82887850 0.067417812 0.080
#> 61 -0.179708687 -9.149333e-04 0.0234758637 -1.16692126 0.243242169 0.284
#> 62 0.232341838 -6.865494e-03 0.0668863931 0.92492304 0.355005940 0.408
#> 63 0.287892902 -3.106831e-02 0.3521648027 0.53748321 0.590933881 0.624
#> 64 2.274753084 -3.391835e-02 1.5298598129 1.86653574 0.061966448 0.060
#> 65 0.539130024 -2.803069e-02 0.2604061834 1.11142586 0.266385086 0.284
#> 66 1.051798136 5.767215e-03 1.5783977497 0.83259979 0.405070479 0.444
#> 67 -0.131392170 2.350544e-03 0.0060086121 -1.72537320 0.084460238 0.088
#> 68 0.138190992 -8.946973e-04 0.0207867405 0.96469327 0.334698466 0.356
#> 69 1.046159211 -1.649873e-02 0.2014216127 2.36777515 0.017895408 0.036
#> 70 1.253265453 -4.535060e-02 0.5616496253 1.73279837 0.083131513 0.088
#> 71 0.299578515 -7.598486e-03 0.3112323719 0.55061281 0.581899122 0.632
#> 72 -0.169627902 4.206607e-03 0.0157624405 -1.38459981 0.166174871 0.144
#> 73 -0.042159110 8.469980e-03 0.0121083371 -0.46010597 0.645440157 0.704
#> 74 0.036829436 -1.518011e-03 0.1951306590 0.08681079 0.930821913 0.968
#> 75 -0.055736811 -4.437046e-03 0.0092728157 -0.53273295 0.594218454 0.528
#> 76 1.180394095 -3.011292e-02 0.6189671425 1.53862758 0.123895241 0.144
#> 77 0.782521216 -6.870006e-03 0.1737712568 1.89366574 0.058269392 0.064
#> 78 0.529916604 -9.555951e-03 0.0855055212 1.84489764 0.065052430 0.080
#> 79 0.861411539 1.698268e-03 0.2547629153 1.70327796 0.088516064 0.096
#> 80 0.895182573 -2.239064e-04 0.1314355344 2.46981165 0.013518421 0.020
#> 81 0.025800751 2.035884e-03 0.0040921060 0.37150267 0.710263167 0.708
#> 82 -0.330384096 -2.009793e-02 0.0793669109 -1.10139393 0.270725248 0.252
#> 83 -0.310472511 2.922122e-02 0.0426785634 -1.64430596 0.100113019 0.108
#> 84 0.001292507 -1.330070e-03 0.0038581747 0.04222185 0.966321841 0.972
#> 85 -0.126709946 -1.214443e-02 0.0154350808 -0.92214550 0.356452687 0.344
#> p_folded_sim skewness kurtosis mean median pysal
#> 1 0.180 0.0447839034 0.07467761 High-High High-High High-High
#> 2 0.014 0.0547195380 0.07060433 High-High High-High High-High
#> 3 0.022 0.1276143117 -0.14231488 High-High High-High High-High
#> 4 0.038 -0.1997153231 -0.23780937 Low-Low Low-Low Low-Low
#> 5 0.138 -0.2215406092 -0.28799341 Low-Low Low-Low Low-Low
#> 6 0.054 0.0003814484 0.51344578 Low-Low Low-Low Low-Low
#> 7 0.258 0.1975144354 -0.01339371 High-High High-High High-High
#> 8 0.052 -0.0936284407 -0.34746868 Low-Low Low-Low Low-Low
#> 9 0.202 -0.0882729254 -0.43594465 Low-High High-High Low-High
#> 10 0.006 -0.1412852042 0.25813077 Low-Low Low-Low Low-Low
#> 11 0.004 0.0200481496 -0.30630176 Low-Low Low-Low Low-Low
#> 12 0.034 -0.1029220634 -0.26614907 Low-Low Low-Low Low-Low
#> 13 0.140 -0.0077300217 -0.29342101 Low-High Low-High Low-High
#> 14 0.004 -0.0609937674 -0.09585427 Low-Low Low-Low Low-Low
#> 15 0.288 0.0395798003 0.07762154 High-Low High-Low High-Low
#> 16 0.260 0.0390862060 -0.22764713 Low-High Low-High Low-High
#> 17 0.022 0.1263540354 0.02898633 High-High High-High High-High
#> 18 0.390 0.0844305385 -0.01082536 Low-Low Low-Low Low-Low
#> 19 0.084 0.1690310302 -0.18906547 High-High High-High High-High
#> 20 0.136 0.1279130074 -0.16833910 High-High High-High High-High
#> 21 0.252 0.1782153314 -0.06360293 High-High High-High High-High
#> 22 0.278 0.1256259076 -0.12225661 High-Low High-Low High-Low
#> 23 0.202 -0.0873245788 -0.18752595 Low-High Low-High Low-High
#> 24 0.040 -0.2407711578 -0.23937529 Low-Low Low-Low Low-Low
#> 25 0.350 -0.0713941348 -0.13466187 Low-High Low-Low Low-High
#> 26 0.302 0.1112572584 -0.25517140 High-High High-Low High-High
#> 27 0.138 0.2417770828 -0.21910692 High-High High-High High-High
#> 28 0.002 0.0035827413 -0.21672509 Low-Low Low-Low Low-Low
#> 29 0.010 -0.1017911295 0.06941740 Low-Low Low-Low Low-Low
#> 30 0.200 -0.0591336906 -0.43403759 Low-Low Low-Low Low-Low
#> 31 0.458 0.1371605569 -0.19645816 High-Low High-Low High-High
#> 32 0.024 -0.0496895491 -0.07597735 Low-Low Low-Low Low-Low
#> 33 0.022 0.1282138369 -0.20779758 High-High High-High High-High
#> 34 0.304 -0.0694930106 -0.37313303 High-High High-High High-High
#> 35 0.030 -0.1555370564 0.07442723 Low-High High-High Low-High
#> 36 0.398 -0.1904590349 -0.27008184 Low-Low Low-Low Low-Low
#> 37 0.074 0.0533621755 -0.19010140 High-High High-High High-High
#> 38 0.414 -0.1359369486 0.17404428 Low-High Low-Low Low-High
#> 39 0.056 0.0282570519 0.37422615 High-High High-High High-High
#> 40 0.496 0.4441672088 -0.09366914 High-Low High-Low High-Low
#> 41 0.122 -0.1091864843 -0.38185845 Low-Low Low-Low Low-Low
#> 42 0.142 -0.1696748859 -0.10390946 Low-High High-High Low-High
#> 43 0.458 -0.1015365790 -0.19500889 Low-Low Low-Low Low-High
#> 44 0.146 -0.1196930287 -0.20045504 Low-Low Low-Low Low-Low
#> 45 0.186 0.0469779705 -0.11097950 High-Low High-Low High-Low
#> 46 0.008 -0.1553046007 0.03528647 Low-Low Low-Low Low-Low
#> 47 0.202 0.2354218717 -0.25199426 High-High High-High High-High
#> 48 0.110 0.2714359288 -0.23872512 High-High High-High High-High
#> 49 0.034 -0.2994939928 -0.19289409 Low-High Low-High Low-High
#> 50 0.220 0.1921660142 -0.14487982 High-High High-High High-High
#> 51 0.004 -0.0681885595 -0.28326386 High-High High-High High-High
#> 52 0.228 0.1497041606 -0.43204095 High-Low High-Low High-Low
#> 53 0.084 0.1468295086 0.13984449 High-High High-High High-High
#> 54 0.086 0.2366817369 -0.05272854 High-High High-High High-High
#> 55 0.468 -0.1118999749 -0.19193833 Low-Low Low-Low Low-Low
#> 56 0.080 0.0646290251 -0.15386973 High-High High-High High-High
#> 57 0.042 0.2577646870 -0.36802220 High-High High-High High-High
#> 58 0.348 0.0841438856 -0.12179510 High-High High-Low High-High
#> 59 0.070 0.0939878059 -0.30306676 High-High High-High High-High
#> 60 0.040 0.1242595109 -0.39989796 High-High High-High High-High
#> 61 0.142 -0.0145574956 -0.45461698 Low-High Low-High Low-High
#> 62 0.204 0.0054830270 -0.37601615 Low-Low Low-Low Low-Low
#> 63 0.312 -0.1414843747 -0.05093919 Low-Low Low-Low Low-Low
#> 64 0.030 -0.1729164733 -0.49003993 Low-Low Low-Low Low-Low
#> 65 0.142 -0.0519364125 -0.22207611 Low-Low Low-Low Low-Low
#> 66 0.222 -0.2501288374 -0.39333472 Low-Low Low-Low Low-Low
#> 67 0.044 -0.0657404983 0.02498504 Low-High High-High Low-High
#> 68 0.178 0.2131337340 -0.24135823 High-High High-High High-High
#> 69 0.018 0.1411788429 -0.25037070 High-High High-High High-High
#> 70 0.044 0.1486030751 -0.20502785 High-High High-High High-High
#> 71 0.316 -0.0108257724 -0.61585230 Low-Low Low-Low Low-Low
#> 72 0.072 -0.1845987380 0.28888211 Low-High Low-High Low-High
#> 73 0.352 0.1095690674 -0.23483343 High-Low High-Low High-Low
#> 74 0.484 0.0445389239 0.05565743 Low-Low Low-Low Low-Low
#> 75 0.264 -0.0866064406 -0.13375645 Low-High Low-High Low-High
#> 76 0.072 0.0551602822 -0.14377869 High-High High-High High-High
#> 77 0.032 -0.0388671622 0.01361079 Low-Low Low-Low Low-Low
#> 78 0.040 0.0676668124 -0.24386037 Low-Low Low-Low Low-Low
#> 79 0.048 0.0021329633 0.10381406 Low-Low Low-Low Low-Low
#> 80 0.010 0.0586875582 -0.23181054 Low-Low Low-Low Low-Low
#> 81 0.354 0.0320591332 -0.25122083 High-High High-High High-High
#> 82 0.126 0.0079970199 0.06241232 Low-High Low-High Low-High
#> 83 0.054 -0.1306714360 0.08098407 Low-High Low-High Low-High
#> 84 0.486 -0.1981019244 0.20310852 Low-Low High-Low Low-Low
#> 85 0.172 -0.0545684047 -0.33928109 Low-High Low-High Low-High