#install.packages("ggplot2")
library(ggplot2)
#install.packages("ggmap")
library(ggmap)
## Google's Terms of Service: https://cloud.google.com/maps-platform/terms/.
## Please cite ggmap if you use it! See citation("ggmap") for details.
#install.packages("foreign")
library(foreign)
dat <- read.dbf("C:/Users/gmutya048/Downloads/pennsylv.dbf")
names(dat)
## [1] "acc_trauma" "air_amb" "als" "arc_street" "arc_zone"
## [6] "bas_ls" "bassinets" "bb_id" "bc_beds" "bc_sus_bed"
## [11] "beds_sus" "birthing_r" "bone_marro" "burn_car" "burn_care"
## [16] "card_beds" "card_surge" "card_sus_b" "cardiac" "cardiac_ca"
## [21] "cardio_reh" "chemo" "city" "clin_lab" "clin_psych"
## [26] "county" "countyname" "ct_scan" "cty_key" "cystoscopi"
## [31] "deliv_rms" "dental" "detox_alc_" "diag_radio" "diag_xray"
## [36] "doh_hosp" "doh_phone" "emer_dept" "endoscopie" "fac_id"
## [41] "facility" "flu_old" "fred_con_1" "fred_conta" "fred_email"
## [46] "fred_fax" "fred_hosp" "fred_pager" "fred_phone" "gamma_knif"
## [51] "gen_outpat" "gene_counc" "heart_tran" "helipad" "hemodial_c"
## [56] "hemodial_m" "hosp_id" "hospice" "hyper_cham" "icu"
## [61] "icu_beds" "icu_sus_be" "inpat_flu_" "inpat_pneu" "kidney_tra"
## [66] "labor_rms" "lic_beds" "lic_dent" "lic_dos" "lic_mds"
## [71] "lic_pod" "linear_acc" "lithotrips" "liver_tran" "loc_method"
## [76] "ltc" "mcd" "mcd_key" "mcd_name" "medical"
## [81] "mob_ccu" "mob_icu" "mri" "ms1" "neo2_beds"
## [86] "neo2_sus_b" "neo3_beds" "neo3_sus_b" "neuro_surg" "neurology"
## [91] "obs_gyn" "occ_ther" "optometry" "organ_bank" "ped_trauma"
## [96] "pediatric" "pet" "pharmacy" "phys_med" "phys_ther"
## [101] "podiatry" "providerid" "psych" "psych_inpa" "reg_trauma"
## [106] "resp_ther" "so_flu_65u" "social_wor" "speech_pat" "street"
## [111] "surgical" "surgical_s" "thera_radi" "typ_org" "typ_serv"
## [116] "ultrasound" "x" "y" "zip"
Number of Hospitals in My County (Delaware County)
county = subset(dat, county=="Delaware")
qmplot(x,y, data = county, colour = I('darkblue'), size = I(4), zoom = 11, extent = "panel", source = "stamen", maptype = "terrain-background", main = "Hospitals in Delaware county ", xlab = "Longitude", ylab = "Latitude")
## Source : http://tile.stamen.com/terrain/11/594/775.png
## Source : http://tile.stamen.com/terrain/11/595/775.png
## Source : http://tile.stamen.com/terrain/11/594/776.png
## Source : http://tile.stamen.com/terrain/11/595/776.png

Hospitals in PA with Organ Banks
organbank = subset(dat, organ_bank=="Y")
qmplot(x,y, data = organbank, colour = I('red'), size = I(4), zoom = 8, extent = "panel", source = "osm", maptype = "toner", main = "Hospitals in Pennsylvania with Organ Bank", xlab = "Longitude", ylab = "Latitude")
## Source : http://tile.stamen.com/terrain/8/70/95.png
## Source : http://tile.stamen.com/terrain/8/71/95.png
## Source : http://tile.stamen.com/terrain/8/72/95.png
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## Source : http://tile.stamen.com/terrain/8/70/97.png
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## Source : http://tile.stamen.com/terrain/8/74/97.png

Hospitals in Philadelphia with Ultrasound
ULT = subset(dat, ultrasound == "Y")
ULTP = subset(ULT, city == "Philadelphia")
qmplot(x,y, data = ULTP , colour = I('seagreen1'), size = I(4), zoom = 11, extent = "panel", source = "stamen", maptype = "terrain-lines", main = "Hospitals in Philadelphia with Ultrasound", xlab = "Longitude", ylab = "Latitude")
## Source : http://tile.stamen.com/terrain/11/595/774.png
## Source : http://tile.stamen.com/terrain/11/596/774.png
## Source : http://tile.stamen.com/terrain/11/597/774.png
## Source : http://tile.stamen.com/terrain/11/596/775.png
## Source : http://tile.stamen.com/terrain/11/597/775.png

Non Profitable Pediatric Hospitals in PA
pediatric = subset(dat, pediatric == "Y")
pediatricNP = subset(pediatric, typ_org=="Non-profit Corp.")
qmplot(x,y, data = pediatricNP, colour = I('tomato'), size = I(4), zoom = 7, extent = "panel", source = "osm", maptype = "hybrid", main = "Non Profit Pediatric Hospitals in PA", xlab = "Longitude", ylab = "Latitude")
## Source : http://tile.stamen.com/terrain/7/35/47.png
## Source : http://tile.stamen.com/terrain/7/36/47.png
## Source : http://tile.stamen.com/terrain/7/37/47.png
## Source : http://tile.stamen.com/terrain/7/35/48.png
## Source : http://tile.stamen.com/terrain/7/36/48.png
## Source : http://tile.stamen.com/terrain/7/37/48.png

Hospitals in PA with Heart Transplantation
heart_transplant = subset(dat, heart_tran == "Y")
qmplot(x, y, data = heart_transplant, legend = "none", colour= I('blue'), mapcolor = "color", main = "Hospitals in PA with Heart Transplant Surgery Capability", xlab = "Longitude", ylab = "Latitude", source = 'stamen', maptype = 'toner-labels', zoom= 8,size = I(1.5))
