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updating simd section
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@ -680,42 +680,43 @@ dtas@data=cbind(dtas@data,over(dtas,simd))
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# STAGE 2, extract NULL cells from each data set to prevent errors in stage 3
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# STAGE 2, extract NULL cells from each data set to prevent errors in stage 3
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# convert back to data frame for null cell extraction
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# convert back to data frame for null cell extraction
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ecs<-data.frame(ecs)
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ecs_df<-data.frame(ecs)
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# split out null and normal cells
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# split out null and normal cells
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ecs_clean<-ecs[complete.cases(ecs),]
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ecs_clean<-ecs_df[complete.cases(ecs_df),]
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ecs_null<-ecs[!complete.cases(ecs),]
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ecs_null<-ecs_df[!complete.cases(ecs_df),]
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# convert back to spatialpointdataframe
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coordinates(ecs) <- c("X", "Y")
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proj4string(ecs) <- proj4string(admin_lev1)
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# convert back to data frame for null cell extraction
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# convert back to data frame for null cell extraction
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transition<-data.frame(transition)
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transition_df<-data.frame(transition)
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# split out null and normal cells
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# split out null and normal cells
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transition_clean<-transition[complete.cases(transition),]
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transition_clean<-transition_df[complete.cases(transition_df),]
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transition_null<-transition[!complete.cases(transition),]
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transition_null<-transition_df[!complete.cases(transition_df),]
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# convert back to spatialpointdataframe
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coordinates(transition) <- c("X", "Y")
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proj4string(transition) <- proj4string(admin_lev1)
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# convert back to data frame for null cell extraction
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# convert back to data frame for null cell extraction
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permaculture<-data.frame(permaculture)
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permaculture_df<-data.frame(permaculture)
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# split out null and normal cells
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# split out null and normal cells
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permaculture_clean<-permaculture[complete.cases(permaculture),]
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permaculture_clean<-permaculture_df[complete.cases(permaculture_df),]
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permaculture_null<-permaculture[!complete.cases(permaculture),]
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permaculture_null<-permaculture_df[!complete.cases(permaculture_df),]
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# convert back to spatialpointdataframe
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coordinates(permaculture) <- c("X", "Y")
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proj4string(permaculture) <- proj4string(admin_lev1)
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# convert back to data frame for null cell extraction
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# convert back to data frame for null cell extraction
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dtas<-data.frame(dtas)
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dtas_df<-data.frame(dtas)
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# split out null and normal cells
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# split out null and normal cells
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dtas_clean<-dtas[complete.cases(dtas),]
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dtas_clean<-dtas_df[complete.cases(dtas_df),]
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dtas_null<-dtas[!complete.cases(dtas),]
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dtas_null<-dtas_df[!complete.cases(dtas_df),]
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# convert back to spatialpointdataframe
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coordinates(dtas) <- c("X", "Y")
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proj4string(dtas) <- proj4string(admin_lev1)
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# TODO: change names to match simd2016 conventions
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# TODO: change names to match simd2016 conventions
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# Overal_SIMD16_Rank
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# SIMD_2016_Quintile
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# SIMD_2016_Decile
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#
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# Income_Domain_2016_Rank
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# Employment_Domain_2016_Rank
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# Health_Domain_2016_Rank
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# Education_Domain_2016_Rank
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# Geographic_Access_Domain_2016_Rank
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# Crime_Domain_2016_Rank
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# Housing_Domain_2016_Rank
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# STAGE 3a, calculate sums based on SIMD12R columns and generate new integer sets with quintile count data
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# STAGE 3a, calculate sums based on SIMD12R columns and generate new integer sets with quintile count data
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simd_rownames = c("Quintile 1","Quintile 2","Quintile 3","Quintile 4","Quintile 5")
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simd_rownames = c("Quintile 1","Quintile 2","Quintile 3","Quintile 4","Quintile 5")
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simdr12_ecs = c((sum(ecs_clean$SIMDR12<1301)), (sum(ecs_clean$SIMDR12 > 1300 & ecs_clean$SIMDR12 < 2602)), (sum(ecs_clean$SIMDR12 > 2601 & ecs_clean$SIMDR12 < 3903)), (sum(ecs_clean$SIMDR12 > 3902 & ecs_clean$SIMDR12 < 5204)), (sum(ecs_clean$SIMDR12 > 5203 & ecs_clean$SIMDR12 < 6505)))
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simdr12_ecs = c((sum(ecs_clean$SIMDR12<1301)), (sum(ecs_clean$SIMDR12 > 1300 & ecs_clean$SIMDR12 < 2602)), (sum(ecs_clean$SIMDR12 > 2601 & ecs_clean$SIMDR12 < 3903)), (sum(ecs_clean$SIMDR12 > 3902 & ecs_clean$SIMDR12 < 5204)), (sum(ecs_clean$SIMDR12 > 5203 & ecs_clean$SIMDR12 < 6505)))
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@ -728,6 +729,7 @@ simdr12_dtas = c((sum(dtas_clean$SIMDR12<1301)), (sum(dtas_clean$SIMDR12 > 1300
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# names(simdr12_dtas) <- simd_rownames
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# names(simdr12_dtas) <- simd_rownames
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# STAGE 3b, calculate sums based on INCR12 columns and generate new integer sets with quintile count data
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# STAGE 3b, calculate sums based on INCR12 columns and generate new integer sets with quintile count data
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incr12_ecs = c((sum(ecs_clean$INCR12<1301)), (sum(ecs_clean$INCR12 > 1300 & ecs_clean$INCR12 < 2602)), (sum(ecs_clean$INCR12 > 2601 & ecs_clean$INCR12 < 3903)), (sum(ecs_clean$INCR12 > 3902 & ecs_clean$INCR12 < 5204)), (sum(ecs_clean$INCR12 > 5203 & ecs_clean$INCR12 < 6505)))
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incr12_ecs = c((sum(ecs_clean$INCR12<1301)), (sum(ecs_clean$INCR12 > 1300 & ecs_clean$INCR12 < 2602)), (sum(ecs_clean$INCR12 > 2601 & ecs_clean$INCR12 < 3903)), (sum(ecs_clean$INCR12 > 3902 & ecs_clean$INCR12 < 5204)), (sum(ecs_clean$INCR12 > 5203 & ecs_clean$INCR12 < 6505)))
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incr12_transition = c((sum(transition_clean$INCR12<1301)), (sum(transition_clean$INCR12 > 1300 & transition_clean$INCR12 < 2602)), (sum(transition_clean$INCR12 > 2601 & transition_clean$INCR12 < 3903)), (sum(transition_clean$INCR12 > 3902 & transition_clean$INCR12 < 5204)), (sum(transition_clean$INCR12 > 5203 & transition_clean$INCR12 < 6505)))
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incr12_transition = c((sum(transition_clean$INCR12<1301)), (sum(transition_clean$INCR12 > 1300 & transition_clean$INCR12 < 2602)), (sum(transition_clean$INCR12 > 2601 & transition_clean$INCR12 < 3903)), (sum(transition_clean$INCR12 > 3902 & transition_clean$INCR12 < 5204)), (sum(transition_clean$INCR12 > 5203 & transition_clean$INCR12 < 6505)))
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incr12_permaculture = c((sum(permaculture_clean$INCR12<1301)), (sum(permaculture_clean$INCR12 > 1300 & permaculture_clean$INCR12 < 2602)), (sum(permaculture_clean$INCR12 > 2601 & permaculture_clean$INCR12 < 3903)), (sum(permaculture_clean$INCR12 > 3902 & permaculture_clean$INCR12 < 5204)), (sum(permaculture_clean$INCR12 > 5203 & permaculture_clean$INCR12 < 6505)))
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incr12_permaculture = c((sum(permaculture_clean$INCR12<1301)), (sum(permaculture_clean$INCR12 > 1300 & permaculture_clean$INCR12 < 2602)), (sum(permaculture_clean$INCR12 > 2601 & permaculture_clean$INCR12 < 3903)), (sum(permaculture_clean$INCR12 > 3902 & permaculture_clean$INCR12 < 5204)), (sum(permaculture_clean$INCR12 > 5203 & permaculture_clean$INCR12 < 6505)))
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