From b8d44ff90381834436ae28f0db989db576770dd1 Mon Sep 17 00:00:00 2001 From: Dmitry Pavlushko Date: Mon, 14 Sep 2015 15:19:52 -0700 Subject: [PATCH] added semipar --- Documentation/Semiparametric regression.pdf | Bin 0 -> 791785 bytes R Sample Tools.tbx | Bin 124928 -> 148480 bytes SemiparametricRegression.aprx | Bin 0 -> 58613 bytes SemiparametricRegression.mxd | Bin 0 -> 722432 bytes scripts/semi_par_regression.R | 111 ++++++++++++++++++++ symbology/predictions_feature.lyr | Bin 0 -> 12288 bytes 6 files changed, 111 insertions(+) create mode 100644 Documentation/Semiparametric regression.pdf create mode 100644 SemiparametricRegression.aprx create mode 100644 SemiparametricRegression.mxd create mode 100644 scripts/semi_par_regression.R create mode 100644 symbology/predictions_feature.lyr diff --git a/Documentation/Semiparametric regression.pdf b/Documentation/Semiparametric regression.pdf new file mode 100644 index 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z9~FZKd^*n#0-*ia`NTvLl!abjnF^=}R268;A#pU@IHt|q^u+5Oly1HdxHruQnLdUV zkAA&7V-V160rv_%-6M%4<$mh+SW5Lg1g1>}Lle-nBoNaL&?Vb&tsCR?>kzLt?Ym)m zwPIp%P$``O=|y8=QTp>(4|0S6JzXZIc!Lg_-q2)n`ZISkCx03O+;kh67B*?*IR_SI zvEdtlb+u5-dmjP}(>hbWlJ-yrjwPrZk)9}v`Ha6z=P%RwT+OnERiubdvvsQwPr~S{ z%>R+mSBduE;2#!HHK$UgyP~-5LRGdDZ^lfS7+0ut>A7kB;#9seLW<`PeWzK%?406< zF!Lb-X`7t7A9+y|q~PFh4CWUFP1{!b2+TI)<%0ZkmLkAGk_s_LeciE zL`}3;gF|a>gL%Fh#MP>2VZ3`FM$GANj2Uhv$fn$mJ?=`^vKRJ>l8xuLtGIK9(-o}E{@ zx15e{Jy*MTyc}`?jwlgSFX|8(Bt`#!Gg8Z}an`Ja;Y}R$$ts+63bRnY5mHNc-JgXS za>_N%fHc|=&?ky)hNf0JTgs4}8Z9k2G|8$u`7N_B4&&3_OZpP!B5kQX zO8e(swf|i5y+2JL 0) + X <- X[-dup.inds, ] + knots <- cluster::clara(X, num.knots)$medoids + return(knots) +} + +tool_exec <- function(in_params, out_params) +{ + #### Load Library for Analysis #### + if (!requireNamespace("SemiPar", quietly = TRUE)) + install.packages("SemiPar") + require(SemiPar) + + #### Get Input Parameters #### + input_features <- in_params[[1]] + input_predictions <- in_params[[2]] + dep_variable <- in_params[[3]] + lin_variables <- in_params[[4]] + nonlin_variables <- in_params[[5]] + input_knots <- in_params[[6]] + output_features <- out_params[[1]] + output_graph_pdf <- out_params[[2]] + + + #### Import Dataset to Dataframe #### + fc <- arc.open(input_features) + df <- arc.select(fc, c(dep_variable, nonlin_variables, lin_variables)) + df['x'] <- arc.shape(df)$x + df['y'] <- arc.shape(df)$y + #### Import Knots to DataFrame #### + if (is.null(input_knots)) + { + message("Creating default knots") + knots.est <- make_knots(df$x, df$y) + } + else + { + knots_df <- arc.select(arc.open(input_knots)) + knots.est <- make_knots(arc.shape(knots_df)$x, arc.shape(knots_df)$y) + } + + #### Create Spatial Effect #### + fxy <- "f(x,y,knots=knots.est)" + + #### Create Formula and Fit SemiPar #### + e <- as.list(df) + e$knots.est <- knots.est + all_params <- paste0(dep_variable, "~", fxy) + + #### Create Non-Linear Params #### + if (!is.null(lin_variables)) + { + nonlin_params <- paste(paste0("f(", nonlin_variables, ")"), collapse = "+") + all_params <- paste0(all_params, "+", nonlin_params) + } + #### Create Linear Params #### + if (!is.null(nonlin_variables )) + all_params <- paste0(all_params, "+", paste(lin_variables , collapse = "+")) + + message(paste0("formula = ", all_params)) + tryCatch( + { + attach(e) + form <- as.formula(all_params) + fit <- spm(form, family="binomial") + },finally = detach(e)) + + summary(fit) + #### Prediction #### + pred_fc <- arc.open(input_predictions) + oid_field <- pred_fc@fields + oid_field <- names(oid_field[oid_field == 'OID'])[[1]] + pred_df = arc.select(pred_fc, c(oid_field, nonlin_variables, lin_variables)) + + if (!is.null(output_graph_pdf)) + { + tryCatch( + { + pdf(output_graph_pdf) + #nn <- (length(lin_variables) + length(nonlin_variables) + 2)/2 + #par(mfrow=c(ceiling(nn), 2)) + suppressWarnings( + plot(fit, bdry=default.bdry(bdry = knots.est)) + ) + }, finally = { dev.off() }) + } + + pred_df_xy <- data.frame( + x = arc.shape(pred_df)$x, + y = arc.shape(pred_df)$y, + pred_df) + pred = with(pred_df_xy, predict.spm(fit, newdata = pred_df_xy, se = TRUE)) + + #### Write Output #### + pred_df['prediction'] = 1 / (1+exp(-pred$fit)) + #pred_df['std_error'] = pred$se + pred_df['LCL_95'] = 1 / (1+exp(-pred$fit+1.96*pred$se)) + pred_df['UCL_95'] = 1/(1+exp(-pred$fit-1.96*pred$se)) + + arc.write(output_features, pred_df) + + return(out_params) +} + diff --git a/symbology/predictions_feature.lyr b/symbology/predictions_feature.lyr new file mode 100644 index 0000000000000000000000000000000000000000..b5e68486fb617c9c0d88d01998a6ee2ca6fe3530 GIT binary patch literal 12288 zcmeHN32c*x;NP(sZqasRDqNIc)NYqWz5Xw>Gh6dCqB0EU z&p&V8yf^=w`DSL{xbe^Wi@V+&{uz^KG7D$-yggXA0KN|IVQRS_L%r8aMKuq{J6MnC zA@aao^p(c%5&eI9z{;xd=V1nBW|hd@Y`Kc?Hsym^*C5QdrIET`v_-ZpGJzx47Wwa6 z=3%z~eU3lv4=vHfMF)ype{a+Uj(-lbW5zi#?>a`kS(vW9{_g@)XP@kty-=;%Yd@5Z z&hR>8Uu{ccLVH11bcFW&$B?=s^+4*0)C;LMQXizgNIyWr5rFBD`XdcM8i+IqX)w~G 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