Mapping Trials

Using the spatial visualization techniques, explore this data set on Pennsylvania hospitals (http://www.arcgis.com/home/item.html?id=eccee5dfe01e4c4283c9be0cfc596882). Create a series of 5 maps that highlight spatial differences in hospital service coverage for the state of PA.

To help you in getting the data imported into R, I have included the code below:

To import the data I use the foreign package, if you do not have it than be sure to install it prior to testing the code.

The dataset contains a number of variables about each hospital, many of there are clear and straight forward.

Now create 5 maps, including decriptions, that highlight the spatial distribution of hosptical services in the state of PA. Upload these maps as a document to rpubs.com and submit that link the Moodle assignment.

library(ggplot2)
library(ggmap)
## Warning: package 'ggmap' was built under R version 3.4.4
library(foreign)
dat <- read.dbf("C:/Users/Calmth of Life/Dropbox/Harrisburg Semesters/ANLY 512/Problem Set 5/pennsylv/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"

Map 1

This map shows hospitals in PA with heart transplant surgery capability

heart_transplant = subset(dat, heart_tran == "Y")
qmplot(x, y, data = heart_transplant, legend = "none", colour= I('blue'), mapcolor = "color", extent = "panel", main = "Hospitals in PA with Heart Transplant Surgery Capability", xlab = "Longitude", ylab = "Latitude", source = 'google', maptype = 'roadmap', zoom = 6)
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=40.20258,-77.577704&zoom=6&size=640x640&scale=2&maptype=roadmap&language=en-EN&sensor=false

Map 2

This map shows hospitals in Philadelphia with chemotherapy capability

chemotherapy = subset(dat, chemo == "Y")
chemoPA = subset(chemotherapy, county == "Philadelphia")
qmplot(x, y, data = chemoPA, legend = "none", colour= I('red'), mapcolor = "color", extent = "panel", main = "Hospitals in Philadelphia with Chemotherapy Capability", xlab = "Longitude", ylab = "Latitude", source = 'google', maptype = 'terrain', zoom = 12)
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=40.012589,-75.136495&zoom=12&size=640x640&scale=2&maptype=terrain&language=en-EN&sensor=false

Map 3

This map shows hospitals in Pittsburgh with organ bank

organbank = subset(dat, organ_bank=="Y")
organbankPI = subset(organbank, city == "Pittsburgh")
qmplot(x,y, data = organbankPI, colour = I('orange'), size = I(4), zoom = 10, extent = "panel", source = "google", maptype = "toner", main = "Hospitals in Pittsburgh with Organ Bank", xlab = "Longitude", ylab = "Latitude")
## maptype = "toner" is only available with source = "stamen".
## resetting to source = "stamen"...
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=40.499521,-80.002839&zoom=10&size=640x640&scale=2&maptype=terrain&sensor=false
## Map from URL : http://tile.stamen.com/toner/10/283/384.png
## Map from URL : http://tile.stamen.com/toner/10/284/384.png
## Map from URL : http://tile.stamen.com/toner/10/285/384.png
## Map from URL : http://tile.stamen.com/toner/10/283/385.png
## Map from URL : http://tile.stamen.com/toner/10/284/385.png
## Map from URL : http://tile.stamen.com/toner/10/285/385.png
## Map from URL : http://tile.stamen.com/toner/10/283/386.png
## Map from URL : http://tile.stamen.com/toner/10/284/386.png
## Map from URL : http://tile.stamen.com/toner/10/285/386.png
## Map from URL : http://tile.stamen.com/toner/10/283/387.png
## Map from URL : http://tile.stamen.com/toner/10/284/387.png
## Map from URL : http://tile.stamen.com/toner/10/285/387.png

Map 4

This map shows hospitals in Dauphin county with neurosurgery capability

neurosur = subset(dat, neuro_surg == "Y")
neurosurDA = subset(neurosur, county == "Dauphin")
qmplot(x,y, data = neurosurDA, colour = I('tomato1'), size = I(4), zoom = 10, extent = "panel", source = "google", maptype = "roadmap", main = "Hospitals in Dauphin County with Neurosurgery capability", xlab = "Longitude", ylab = "Latitude")
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=40.263754,-76.674842&zoom=10&size=640x640&scale=2&maptype=roadmap&language=en-EN&sensor=false

Map 5

This map shows hospitals in Erie with optometry

opt = subset(dat, optometry == "Y")
optE = subset(opt, city == "Erie")
qmplot(x,y, data = optE, colour = I('seagreen1'), size = I(4), zoom = 8, extent = "panel", source = "google", maptype = "hybrid", main = "Hospitals in Erie with Optometry", xlab = "Longitude", ylab = "Latitude")
## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=42.133605,-80.087098&zoom=8&size=640x640&scale=2&maptype=hybrid&language=en-EN&sensor=false