new analysis and figures and tables

analysis/new analysis Aug 2025/analysis10-2021.ipynb

@@ -79,6 +79,14 @@
     "spills['geometry'] = gpd.points_from_xy(spills['Longitude'], spills['Latitude'])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8da71fc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 32,

analysis/new analysis Aug 2025/pct_change_period_boot.csv

@@ -0,0 +1,7 @@
+spill_type,rurality,median_days,ci_lower_days,ci_upper_days,median_hours
+Historical,Rural,0.27497054916409897,0.14521079279143942,0.402150850941176,6.599293179938375
+Historical,Suburban,0.35862785862785695,0.14230969134815072,0.5790820406205027,8.607068607068566
+Historical,Urban,0.46022418017894584,0.4043955927758729,0.5168359271165858,11.045380324294701
+Recent,Rural,0.22033304102748014,0.1595946164017345,0.27709844118835425,5.287992984659523
+Recent,Suburban,0.23838516812023614,0.09530264384838895,0.38765632713509646,5.721244034885667
+Recent,Urban,0.29898723668702976,0.2219819347255294,0.37490452624458753,7.175693680488714

analysis/new analysis Aug 2025/pct_change_spilltype_boot.csv

@@ -0,0 +1,7 @@
+Period,rurality,median_abs_days,ci_lower_days,ci_upper_days,median_hours,median_pct
+2020 and After,Rural,0.07551270918427522,0.0019442568352317586,0.1495096699149845,1.8123050204226052,12.423566035505765
+2020 and After,Suburban,0.1443185237187848,0.014505398990406747,0.2621640256744544,3.4636445692508353,34.6698709840626
+2020 and After,Urban,0.2910867314901773,0.24390264079546417,0.3413553243429466,6.986081555764255,84.40551641150363
+Before 2020,Rural,0.019445736196048558,-0.09807034245553696,0.13342012441761195,0.4666976687051654,2.20523886072146
+Before 2020,Suburban,0.020467069010756067,-0.2216216216216229,0.24354828129099937,0.4912096562581456,2.635228848820833
+Before 2020,Urban,0.12910256593388225,0.04986927894511647,0.21108430823584592,3.098461582413174,16.054023961309728

analysis/new analysis Aug 2025/poisson_boot_contrasts.csv

@@ -0,0 +1,13 @@
+contrast_type,spill_type,Period,rurality,comparison,median,ci_lower,ci_upper,p_value
+Period,Historical,,Rural,Before - After,0.27497054916409897,0.14521079279143942,0.402150850941176,0.0
+Period,Historical,,Suburban,Before - After,0.35862785862785695,0.14230969134815072,0.5790820406205027,0.001
+Period,Historical,,Urban,Before - After,0.46022418017894584,0.4043955927758729,0.5168359271165858,0.0
+Period,Recent,,Rural,Before - After,0.22033304102748014,0.1595946164017345,0.27709844118835425,0.0
+Period,Recent,,Suburban,Before - After,0.23838516812023614,0.09530264384838895,0.38765632713509646,0.0
+Period,Recent,,Urban,Before - After,0.29898723668702976,0.2219819347255294,0.37490452624458753,0.0
+SpillType,,2020 and After,Rural,Recent - Historical,0.07551270918427522,0.0019442568352317586,0.1495096699149845,0.045
+SpillType,,2020 and After,Suburban,Recent - Historical,0.1443185237187848,0.014505398990406747,0.2621640256744544,0.029
+SpillType,,2020 and After,Urban,Recent - Historical,0.2910867314901773,0.24390264079546417,0.3413553243429466,0.0
+SpillType,,Before 2020,Rural,Recent - Historical,0.019445736196048558,-0.09807034245553696,0.13342012441761195,0.753
+SpillType,,Before 2020,Suburban,Recent - Historical,0.020467069010756067,-0.2216216216216229,0.24354828129099937,0.85
+SpillType,,Before 2020,Urban,Recent - Historical,0.12910256593388225,0.04986927894511647,0.21108430823584592,0.002

analysis/new analysis Aug 2025/poisson_predicted_groups_boot_all.csv

@@ -0,0 +1,13 @@
+spill_type,Period,rurality,pred_mean,ci_lower,ci_upper,n,pred_median_boot,ci_lower_boot,ci_upper_boot,pred_median_npboot,ci_lower_npboot,ci_upper_npboot
+Historical,2020 and After,Rural,0.6093189964157697,0.5478743705834819,0.6776546948120998,558,0.6075268817204316,0.5448028673835136,0.6774193548387089,0.6075165926329025,0.5526279441698162,0.6636686256781194
+Historical,2020 and After,Suburban,0.42011834319526453,0.3329283283724966,0.5301423977705431,169,0.4201183431952644,0.32529585798816385,0.5207100591715994,0.41614617682429955,0.3313609467455611,0.5102654352880386
+Historical,2020 and After,Urban,0.3444994290064705,0.3227699462514921,0.36769178160507127,2627,0.34526075371145737,0.32279215835553743,0.3681004948610584,0.34424658365839533,0.32394868445108016,0.36391238591979386
+Historical,Before 2020,Rural,0.8881118881118876,0.7853397269730921,1.0043331550865073,286,0.8846153846153819,0.779720279720278,0.9965034965034927,0.8875968992248069,0.8113663607417112,0.9601403594732165
+Historical,Before 2020,Suburban,0.7837837837837845,0.6059349205795946,1.0138333323565736,74,0.7837837837837822,0.5945945945945937,0.9864864864864882,0.7867759562841541,0.5972170398009939,1.0002941176470606
+Historical,Before 2020,Urban,0.8045417680454156,0.7560010921988318,0.8561991023677035,1233,0.8049472830494726,0.7534468775344682,0.8564476885644735,0.8034984820307399,0.7665794550369249,0.842415697211154
+Recent,2020 and After,Rural,0.6839481555333987,0.6486978802574822,0.7211139325318346,2006,0.683948155533399,0.6500498504486558,0.7208374875373882,0.6829934642365323,0.6533815453602346,0.7123480478360265
+Recent,2020 and After,Suburban,0.5621468926553657,0.489224984417794,0.6459382472016476,354,0.5621468926553669,0.4858757062146898,0.6384180790960449,0.560344827586207,0.49106618332711593,0.6334355283035621
+Recent,2020 and After,Urban,0.636728147554129,0.5939439753667028,0.6825942356556498,1247,0.6355252606255006,0.5942261427425811,0.6784482758620706,0.6360308612737718,0.5983955375909462,0.6742169727961493
+Recent,Before 2020,Rural,0.9033877038895861,0.8579117829215046,0.9512741983327778,1594,0.9040150564617306,0.8588299874529501,0.9498117942283538,0.9049383902302881,0.8640685429903382,0.9398919791087684
+Recent,Before 2020,Suburban,0.800970873786409,0.687621671804964,0.9330048294873011,206,0.8009708737864045,0.6794902912621323,0.9271844660194164,0.8032885081913201,0.7055557852948506,0.8968659324716435
+Recent,Before 2020,Urban,0.9354207436399179,0.8779639126262511,0.9966377376655905,1022,0.9344422700587136,0.8757093933463747,0.9970890410958914,0.9360885621808561,0.8894442568574094,0.9794730421614359

analysis/new analysis Aug 2025/poisson_predicted_groups_boot_final.csv

@@ -0,0 +1,13 @@
+spill_type,Period,rurality,pred_mean,ci_lower,ci_upper,n,pred_median_boot,ci_lower_boot,ci_upper_boot
+Historical,2020 and After,Rural,0.6093189964157697,0.5478743705834819,0.6776546948120998,558,0.6075268817204316,0.5448028673835136,0.6774193548387089
+Historical,2020 and After,Suburban,0.42011834319526453,0.3329283283724966,0.5301423977705431,169,0.4201183431952644,0.32529585798816385,0.5207100591715994
+Historical,2020 and After,Urban,0.3444994290064705,0.3227699462514921,0.36769178160507127,2627,0.34526075371145737,0.32279215835553743,0.3681004948610584
+Historical,Before 2020,Rural,0.8881118881118876,0.7853397269730921,1.0043331550865073,286,0.8846153846153819,0.779720279720278,0.9965034965034927
+Historical,Before 2020,Suburban,0.7837837837837845,0.6059349205795946,1.0138333323565736,74,0.7837837837837822,0.5945945945945937,0.9864864864864882
+Historical,Before 2020,Urban,0.8045417680454156,0.7560010921988318,0.8561991023677035,1233,0.8049472830494726,0.7534468775344682,0.8564476885644735
+Recent,2020 and After,Rural,0.6839481555333987,0.6486978802574822,0.7211139325318346,2006,0.683948155533399,0.6500498504486558,0.7208374875373882
+Recent,2020 and After,Suburban,0.5621468926553657,0.489224984417794,0.6459382472016476,354,0.5621468926553669,0.4858757062146898,0.6384180790960449
+Recent,2020 and After,Urban,0.636728147554129,0.5939439753667028,0.6825942356556498,1247,0.6355252606255006,0.5942261427425811,0.6784482758620706
+Recent,Before 2020,Rural,0.9033877038895861,0.8579117829215046,0.9512741983327778,1594,0.9040150564617306,0.8588299874529501,0.9498117942283538
+Recent,Before 2020,Suburban,0.800970873786409,0.687621671804964,0.9330048294873011,206,0.8009708737864045,0.6794902912621323,0.9271844660194164
+Recent,Before 2020,Urban,0.9354207436399179,0.8779639126262511,0.9966377376655905,1022,0.9344422700587136,0.8757093933463747,0.9970890410958914