diff --git a/src/pg/test/expected/21_gwr_test.out b/src/pg/test/expected/21_gwr_test.out new file mode 100644 index 0000000..fb81cec --- /dev/null +++ b/src/pg/test/expected/21_gwr_test.out @@ -0,0 +1,12 @@ +-- test of Geographically Weighted Regression (GWR) +SET client_min_messages TO WARNING; +\set ECHO none +rowid|coeff_pctrural|std_errs_pctrural|t_vals_pctrural|predicted|residuals|r_squared|bandwidth +13001|-0.0852|0.0220|-3.8678|8.8071|-0.6071|0.5218|90.0 +13027|-0.0719|0.0221|-3.2506|9.9673|-0.8673|0.5443|90.0 +13027|-0.0719|0.0221|-3.2506|9.9673|-0.8673|0.5443|90.0 +13039|-0.0959|0.0241|-3.9755|13.4802|0.0198|0.6269|90.0 +13231|-0.1383|0.0181|-7.6634|8.5520|0.7480|0.6337|90.0 +13293|-0.1207|0.0184|-6.5553|12.9930|-3.9930|0.6446|90.0 +13321|-0.0720|0.0204|-3.5337|8.2738|-1.9738|0.5573|90.0 +(7 rows) diff --git a/src/pg/test/fixtures/gwr_georgia.sql b/src/pg/test/fixtures/gwr_georgia.sql new file mode 100644 index 0000000..1499cc0 --- /dev/null +++ b/src/pg/test/fixtures/gwr_georgia.sql @@ -0,0 +1,199 @@ +SET client_min_messages TO WARNING; +\set ECHO none +-- +-- PostgreSQL database dump +-- +-- Data from: +-- https://github.com/TaylorOshan/pysal/blob/1d6af33bda46b1d623f70912c56155064463383f/pysal/examples/georgia/GData_utm.csv + +CREATE TABLE g_utm_testing ( + cartodb_id bigint, + the_geom geometry(Geometry, 2239), + pctblack numeric, + pctpov numeric, + pctbach numeric, + pctrural numeric, + x numeric, + y numeric, + areakey int +); + +COPY g_utm_testing (cartodb_id, the_geom, pctblack, pctpov, pctbach, pctrural, x, y, areakey) FROM stdin; +122 0101000020BF080000CDCCCCCC2AEB2A410000000043F74A41 34.4500000000000028 27.3000000000000007 8.59999999999999964 72.5999999999999943 882069.400000000023 3534470 13271 +9 0101000020BF0800009A999999786823410000000080684D41 0.349999999999999978 14.5999999999999996 8 96.5 635964.300000000047 3854592 13083 +30 0101000020BF0800009A9999990ACF294100000080E5174D41 9.89000000000000057 16.5 9.5 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0101000020BF0800009A9999998461294100000080F19B4A41 26.6799999999999997 22.8999999999999986 14 51.1000000000000014 831682.300000000047 3487715 13277 +152 0101000020BF080000333333330E78254100000000C8734A41 44.0900000000000034 31.3999999999999986 9.40000000000000036 52.7999999999999972 703495.099999999977 3467152 13099 +149 0101000020BF0800009A9999997B192D4100000000DE904A41 11.6899999999999995 21.3000000000000007 6.29999999999999982 74.4000000000000057 953533.800000000047 3482044 13229 +150 0101000020BF08000000000000663B2F41000000806B7B4A41 25.5700000000000003 14.3000000000000007 19.8999999999999986 20.3000000000000007 1023411 3471063 13127 +151 0101000020BF08000033333333DBA22C4100000080C94B4A41 25.879999999999999 21.1000000000000014 10.4000000000000004 54.2000000000000028 938349.599999999977 3446675 13299 +153 0101000020BF0800009A999999173E2A410000008044724A41 11.6199999999999992 19.3000000000000007 7.5 66.2000000000000028 859915.800000000047 3466377 13019 +154 0101000020BF0800000000000082542B4100000000167D4A41 26.8599999999999994 26 6.40000000000000036 100 895553 3471916 13003 +155 0101000020BF080000333333336DBF264100000080A6824A41 51.6700000000000017 24.8000000000000007 9.40000000000000036 100 745398.599999999977 3474765 13007 +156 0101000020BF080000333333333D62274100000000F5594A41 47.9099999999999966 28.6999999999999993 7.79999999999999982 56.2000000000000028 766238.599999999977 3453930 13205 +157 0101000020BF080000CDCCCCCCB1E22D4100000080546D4A41 4.58000000000000007 18.1999999999999993 5.79999999999999982 100 979288.900000000023 3463849 13025 +162 0101000020BF080000333333331CB62B4100000000FA274A41 27.2899999999999991 26.3999999999999986 6.70000000000000018 58.6000000000000014 908046.099999999977 3428340 13065 +158 0101000020BF0800003333333310A129410000008057504A41 29.9400000000000013 22.3999999999999986 6.5 62 839816.099999999977 3449007 13075 +159 0101000020BF0800009A999999E7AD284100000000FD5D4A41 24.1600000000000001 22.8000000000000007 10 59.3999999999999986 808691.800000000047 3455994 13071 +163 0101000020BF0800009A99999998AA2A4100000080B63E4A41 26.5799999999999983 25.8999999999999986 5.40000000000000036 100 873804.300000000047 3439981 13173 +161 0101000020BF08000000000000C0C62E4100000080B63A4A41 20.1900000000000013 11.5 13.5 47.1000000000000014 1008480 3437933 13039 +172 0101000020BF080000000000005C43294100000000E31A4A41 41.4699999999999989 25.8999999999999986 9.09999999999999964 65.5999999999999943 827822 3421638 13027 +164 0101000020BF0800009A99999968602D4100000080A0304A41 27.0500000000000007 18.3000000000000007 6.40000000000000036 100 962612.300000000047 3432769 13049 +165 0101000020BF080000000000005C43294100000000E31A4A41 41.4699999999999989 25.8999999999999986 9.09999999999999964 65.5999999999999943 827822 3421638 13027 +167 0101000020BF0800003333333304592741000000803C1B4A41 31.5 22.3000000000000007 7.70000000000000018 55.3999999999999986 765058.099999999977 3421817 13131 +168 0101000020BF080000CDCCCCCCA85B264100000000341B4A41 39.4699999999999989 23.3000000000000007 11.6999999999999993 58 732628.400000000023 3421800 13087 +169 0101000020BF08000033333333DF7F254100000000991B4A41 32.740000000000002 29.1000000000000014 7.79999999999999982 69.4000000000000057 704495.599999999977 3422002 13253 +170 0101000020BF080000333333331A642A410000008058164A41 31.879999999999999 19.8999999999999986 16.3000000000000007 47.6000000000000014 864781.099999999977 3419313 13185 +171 0101000020BF080000000000001C5D2B4100000000DEF24941 11.4800000000000004 14.5999999999999996 4.70000000000000018 100 896654 3401148 13101 +\. + + +-- +-- PostgreSQL database dump complete +-- diff --git a/src/pg/test/sql/21_gwr_test.sql b/src/pg/test/sql/21_gwr_test.sql new file mode 100644 index 0000000..b27ff69 --- /dev/null +++ b/src/pg/test/sql/21_gwr_test.sql @@ -0,0 +1,31 @@ +-- test of Geographically Weighted Regression (GWR) +SET client_min_messages TO WARNING; +\set ECHO none +\pset format unaligned +\i test/fixtures/gwr_georgia.sql + +SELECT + rowid, + round((coeffs->>'pctrural')::numeric, 4) As coeff_pctrural, + round((stand_errs->>'pctrural')::numeric, 4) As std_errs_pctrural, + round((t_vals->>'pctrural')::numeric, 4) As t_vals_pctrural, + round(predicted, 4) As predicted, + round(residuals, 4) As residuals, + round(r_squared, 4) As r_squared, + bandwidth As bandwidth +FROM +cdb_crankshaft.CDB_GWR('SELECT * FROM g_utm_testing', 'pctbach', + Array['pctrural', 'pctpov', 'pctblack']::text[], + 90.0, + False, + 'bisquare', + 'the_geom', + 'areakey') +WHERE rowid in (13001, 13027, 13039, 13231, 13321, 13293) +ORDER BY rowid ASC; + + +-- comparison data from known calculated values in +-- https://github.com/TaylorOshan/pysal/blob/1d6af33bda46b1d623f70912c56155064463383f/pysal/examples/georgia/georgia_BS_NN_listwise.csv +-- Note: values output from this analysis were correct with 1% of the values in that table, possibly due to projection differences. +