library(foreign)
dat <- read.dbf("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"
1. Hospitals located in Philadelphia
library(ggmap)
## Loading required package: ggplot2
library(ggplot2)
Philadelphia<-subset(dat, city == "Philadelphia")
qmplot(x, y, data = Philadelphia, color = "red", size = 3, darken = .3, extent = "panel", main = "Hospitals in Philadelphia", xlab = "Longitude", ylab = "Latitude")
## Using zoom = 12...
## Map from URL : http://tile.stamen.com/toner-lite/12/1191/1549.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1192/1549.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1193/1549.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1194/1549.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1195/1549.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1191/1550.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1192/1550.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1193/1550.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1194/1550.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1195/1550.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1191/1551.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1192/1551.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1193/1551.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1194/1551.png
## Map from URL : http://tile.stamen.com/toner-lite/12/1195/1551.png
2. Hospitals with Pediatric
satellite=get_map(location="pennsylvania", zoom=8,maptype="satellite")
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=pennsylvania&zoom=8&size=640x640&scale=2&maptype=satellite&language=en-EN&sensor=false
## Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=pennsylvania&sensor=false
ggmap(satellite) +
stat_density2d(aes(x, y, colour = pediatric), data = dat, bins = 5, main = "Hospitals in PA with Dental Services")
## Warning: Ignoring unknown parameters: main
## Warning: Removed 159 rows containing non-finite values (stat_density2d).
3. Hospitals with LIC Beds
qmplot(x, y, data = dat, size = lic_beds, maptype = "toner-lite", color = I("red"))
## Using zoom = 8...
## Map from URL : http://tile.stamen.com/toner-lite/8/70/94.png
## Map from URL : http://tile.stamen.com/toner-lite/8/71/94.png
## Map from URL : http://tile.stamen.com/toner-lite/8/72/94.png
## Map from URL : http://tile.stamen.com/toner-lite/8/73/94.png
## Map from URL : http://tile.stamen.com/toner-lite/8/74/94.png
## Map from URL : http://tile.stamen.com/toner-lite/8/70/95.png
## Map from URL : http://tile.stamen.com/toner-lite/8/71/95.png
## Map from URL : http://tile.stamen.com/toner-lite/8/72/95.png
## Map from URL : http://tile.stamen.com/toner-lite/8/73/95.png
## Map from URL : http://tile.stamen.com/toner-lite/8/74/95.png
## Map from URL : http://tile.stamen.com/toner-lite/8/70/96.png
## Map from URL : http://tile.stamen.com/toner-lite/8/71/96.png
## Map from URL : http://tile.stamen.com/toner-lite/8/72/96.png
## Map from URL : http://tile.stamen.com/toner-lite/8/73/96.png
## Map from URL : http://tile.stamen.com/toner-lite/8/74/96.png
## Map from URL : http://tile.stamen.com/toner-lite/8/70/97.png
## Map from URL : http://tile.stamen.com/toner-lite/8/71/97.png
## Map from URL : http://tile.stamen.com/toner-lite/8/72/97.png
## Map from URL : http://tile.stamen.com/toner-lite/8/73/97.png
## Map from URL : http://tile.stamen.com/toner-lite/8/74/97.png
## Warning: `panel.margin` is deprecated. Please use `panel.spacing` property
## instead
## Warning: Removed 34 rows containing missing values (geom_point).
4. Hospital with Pet
pet = subset(dat, pet == "Y")
qmplot(x, y, data = pet, color = "red", size = 5, darken = .1, extent = "panel", main = "Hospitals with Pet", xlab = "Longitude", ylab = "Latitude")
## Using zoom = 8...
5. Hospitals with Heart Transportation and ICU Beds
ggmap(get_map(location="Philadelphia", zoom=11, maptype="satellite"))+geom_point(aes(x, y, colour = heart_tran, size = icu_beds), data = dat)
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=Philadelphia&zoom=11&size=640x640&scale=2&maptype=satellite&language=en-EN&sensor=false
## Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=Philadelphia&sensor=false
## Warning: Removed 257 rows containing missing values (geom_point).
