Get EPA Walkability Index
Arguments
- geoid
GEOID10 of the area of interest. This should be a 12 character string. If
NULL, then all GEOIDs are selected (warning: this can be a lot of data, take a while, use with caution).- geometry
Should geometry be returned? Passed to
arcgislayers::arc_select()- ...
additional arguments to pass to
arcgislayers::arc_select()
Examples
ww_epa_walkability(c("240054519002", "240054026041", "245102303002"))
#> Registered S3 method overwritten by 'jsonify':
#> method from
#> print.json jsonlite
#> Simple feature collection with 3 features and 183 fields
#> Geometry type: POLYGON
#> Dimension: XY
#> Bounding box: xmin: -8545997 ymin: 4744132 xmax: -8492307 ymax: 4776169
#> Projected CRS: WGS 84 / Pseudo-Mercator
#> GEOID10 GEOID20 STATEFP COUNTYFP TRACTCE BLKGRPCE CSA
#> 1 240054519002 240054519002 24 005 451900 2 548
#> 2 245102303002 245102303002 24 510 230300 2 548
#> 3 240054026041 240054026041 24 005 402604 1 548
#> CSA_Name CBSA
#> 1 Washington-Baltimore-Arlington, DC-MD-VA-WV-PA 12580
#> 2 Washington-Baltimore-Arlington, DC-MD-VA-WV-PA 12580
#> 3 Washington-Baltimore-Arlington, DC-MD-VA-WV-PA 12580
#> CBSA_Name CBSA_POP CBSA_EMP CBSA_WRK Ac_Total Ac_Water
#> 1 Baltimore-Columbia-Towson, MD 2793250 1316328 1277911 25200.77594 22763.46
#> 2 Baltimore-Columbia-Towson, MD 2793250 1316328 1277911 23.79845 0.00
#> 3 Baltimore-Columbia-Towson, MD 2793250 1316328 1277911 396.07560 0.00
#> Ac_Land Ac_Unpr TotPop CountHU HH P_WrkAge AutoOwn0 Pct_AO0 AutoOwn1
#> 1 2437.31409 277.03372 847 397 355 0.536 6 0.01690141 113
#> 2 23.79845 23.79845 1141 602 566 0.899 25 0.04416961 269
#> 3 396.07560 380.09043 2087 887 870 0.627 0 0.00000000 293
#> Pct_AO1 AutoOwn2p Pct_AO2p Workers R_LowWageWk R_MedWageWk R_HiWageWk
#> 1 0.3183099 236 0.6647887 461 100 129 232
#> 2 0.4752650 272 0.4805654 948 123 181 644
#> 3 0.3367816 577 0.6632184 1120 263 340 517
#> R_PCTLOWWAGE TotEmp E5_Ret E5_Off E5_Ind E5_Svc E5_Ent E8_Ret E8_off E8_Ind
#> 1 0.2169197 68 3 2 11 5 47 3 2 11
#> 2 0.1297468 128 2 5 15 90 16 2 5 15
#> 3 0.2348214 68 0 0 9 59 0 0 0 9
#> E8_Svc E8_Ent E8_Ed E8_Hlth E8_Pub E_LowWageWk E_MedWageWk E_HiWageWk
#> 1 5 47 0 0 0 43 20 5
#> 2 88 16 0 2 0 22 22 84
#> 3 0 0 0 59 0 19 40 9
#> E_PctLowWage D1A D1B D1C D1C5_RET D1C5_OFF D1C5_IND
#> 1 0.6323529 1.433039 3.057390 0.2454575 0.01082901 0.007219338 0.03970636
#> 2 0.1718750 25.295767 47.944303 5.3785020 0.08403909 0.210097733 0.63029320
#> 3 0.2794118 2.333655 5.490799 0.1789048 0.00000000 0.000000000 0.02367858
#> D1C5_SVC D1C5_ENT D1C8_RET D1C8_OFF D1C8_IND D1C8_SVC D1C8_ENT
#> 1 0.01804834 0.1696544 0.01082901 0.007219338 0.03970636 0.01804834 0.1696544
#> 2 3.78175920 0.6723127 0.08403909 0.210097733 0.63029320 3.69772010 0.6723127
#> 3 0.15522622 0.0000000 0.00000000 0.000000000 0.02367858 0.00000000 0.0000000
#> D1C8_ED D1C8_HLTH D1C8_PUB D1D D1_FLAG D2A_JPHH D2B_E5MIX D2B_E5MIXA
#> 1 0 0.00000000 0 1.678496 0 0.19154930 0.6109497 0.6109497
#> 2 0 0.08403909 0 30.674269 0 0.22614841 0.5905660 0.5905660
#> 3 0 0.15522622 0 2.512560 0 0.07816092 0.5638560 0.2428396
#> D2B_E8MIX D2B_E8MIXA D2A_EPHHM D2C_TRPMX1 D2C_TRPMX2 D2C_TRIPEQ D2R_JOBPOP
#> 1 0.6109497 0.4728604 0.3343037 0.4594217 0.4985539 0.48662362 0.14863388
#> 2 0.5722914 0.4931172 0.3646479 0.4934795 0.5381128 0.47452340 0.20173365
#> 3 0.5638560 0.1879520 0.2624930 0.2519723 0.2736482 0.01527748 0.06310905
#> D2R_WRKEMP D2A_WRKEMP D2C_WREMLX D3A D3AAO D3AMM D3APO
#> 1 0.2570888 6.779412 3.090533e-03 4.984511 0.000000 0.5864318 4.398079
#> 2 0.2379182 7.406250 1.651205e-03 36.370332 0.000000 19.5629047 16.807427
#> 3 0.1144781 16.470588 1.910772e-07 16.162581 2.051807 0.6109743 13.499800
#> D3B D3BAO D3BMM3 D3BMM4 D3BPO3 D3BPO4 D4A
#> 1 12.52027 0.000000 1.312921 0.5251683 9.978197 4.463930 -99999.00
#> 2 143.44465 0.000000 53.785020 107.5700394 0.000000 0.000000 187.76
#> 3 57.11718 4.847559 3.231706 0.0000000 67.865831 9.695119 1079.60
#> D4B025 D4B050 D4C D4D D4E D5AR D5AE
#> 1 0.00000000 0.00000000 -99999.00 -99999.00000 -9.999900e+04 48026 43892
#> 2 0.00000000 0.08393061 14.67 394.51312 1.285714e-02 193188 152130
#> 3 0.01625141 0.27085648 19.00 30.70121 9.103977e-03 89739 85006
#> D5BR D5BE D5CR D5CRI D5CE D5CEI D5DR
#> 1 -99999 -99999 0.0002271313 0.2280675 0.0002339086 0.2633246 -9.999900e+04
#> 2 401276 258562 0.0009136517 0.9174178 0.0008107288 0.9126851 1.434197e-03
#> 3 76190 43918 0.0004244062 0.4261556 0.0004530126 0.5099830 2.723099e-04
#> D5DRI D5DE D5DEI D2A_Ranked D2B_Ranked D3B_Ranked
#> 1 -9.999900e+04 -9.999900e+04 -9.999900e+04 6 7 5
#> 2 4.011500e-01 1.320864e-03 4.863296e-01 6 8 17
#> 3 7.616608e-02 2.243551e-04 8.260542e-02 4 2 10
#> D4A_Ranked NatWalkInd Region Households
#> 1 1 4.166667 Baltimore-Columbia-Towson, MD Metro Area 408
#> 2 19 14.333333 Baltimore-Columbia-Towson, MD Metro Area 566
#> 3 13 8.666667 Baltimore-Columbia-Towson, MD Metro Area 937
#> Workers_1 Residents Drivers Vehicles White Male Lowwage Medwage Highwage
#> 1 461 1002 660.00 775 987 430 100 129 232
#> 2 948 1146 992.64 902 955 566 123 181 644
#> 3 1120 2393 1911.36 NA 348 959 263 340 517
#> W_P_Lowwage W_P_Medwage W_P_Highwage GasPrice logd1a logd1c logd3aao
#> 1 0.6323529 0.2941176 0.07352941 248 0.8891409 0.2195029 0.000000
#> 2 0.1718750 0.1718750 0.65625000 248 3.2694080 1.8529333 0.000000
#> 3 0.2794118 0.5882353 0.13235294 248 1.2040693 0.1645859 1.115734
#> logd3apo d4bo25 d5dei_1 logd4d UPTpercap B_C_constant B_C_male B_C_ld1c
#> 1 1.686043 0 0 0 35 3.005667 0.192176 -0.164587
#> 2 2.879616 0 0 6 35 2.403901 0.107901 -0.332898
#> 3 2.674135 0 0 3 35 2.578616 0.080534 -0.347318
#> B_C_drvmveh B_C_ld1a B_C_ld3apo B_C_inc1 B_C_gasp B_N_constant B_N_inc2
#> 1 -0.371507 -0.093937 -0.013574 -0.637950 0.001337 3.252807 0.091080
#> 2 -0.529421 -0.014868 -0.203534 -0.621011 0.006614 3.252959 0.091073
#> 3 -0.547124 -0.007622 -0.318452 -0.590663 0.007297 3.251736 0.092032
#> B_N_inc3 B_N_white B_N_male B_N_drvmveh B_N_gasp B_N_ld1a B_N_ld1c
#> 1 0.082316 -0.039640 0.114079 -0.193298 -0.004850 -0.214665 -0.214665
#> 2 0.082466 -0.038257 0.113668 -0.192584 -0.004854 -0.214509 -0.214509
#> 3 0.083083 -0.034845 0.112377 -0.190917 -0.004858 -0.213951 -0.213951
#> B_N_ld3aao B_N_ld3apo B_N_d4bo25 B_N_d5dei B_N_UPTpc C_R_Households C_R_Pop
#> 1 0.079713 -0.187299 -0.512321 0.042649 -0.000441 313519 828018
#> 2 0.079935 -0.187420 -0.513327 0.041535 -0.000446 239116 609032
#> 3 0.080911 -0.188360 -0.516945 0.038478 -0.000461 313519 828018
#> C_R_Workers C_R_Drivers C_R_Vehicles C_R_White C_R_Male C_R_Lowwage
#> 1 399047 579540.7 452113 0.5727400 0.4740187 0.2127719
#> 2 249913 432662.6 219982 0.2749117 0.4696765 0.2358181
#> 3 399047 579540.7 452113 0.5727400 0.4740187 0.2127719
#> C_R_Medwage C_R_Highwage C_R_DrmV NonCom_VMT_Per_Worker Com_VMT_Per_Worker
#> 1 0.2912664 0.4959616 0.4064434 5.037774 17.12400
#> 2 0.3586968 0.4054851 0.8894451 1.660546 10.74847
#> 3 0.2912664 0.4959616 0.4064434 4.440309 25.28458
#> VMT_per_worker VMT_tot_min VMT_tot_max VMT_tot_avg GHG_per_worker Annual_GHG
#> 1 22.16177 3.427387 151.4601 23.25904 19.74614 5133.996
#> 2 12.40901 3.427387 151.4601 23.25904 11.05643 2874.672
#> 3 29.72489 3.427387 151.4601 23.25904 26.48488 6886.068
#> Shape_Length Shape_Area OBJECTID SLC_score geometry
#> 1 57534.026 170153298.7 111210 87.34443 POLYGON ((-8510407 4750923,...
#> 2 2273.780 160847.2 111506 93.93267 POLYGON ((-8528940 4760787,...
#> 3 8688.337 2684939.4 111646 82.23534 POLYGON ((-8545990 4775843,...
#> cat_walk_index
#> 1 [1,5.75]
#> 2 (10.5,15.2]
#> 3 (5.75,10.5]