2. # install.packages( "RCurl" ) # install RCurl if you have not done this already library( RCurl ) # package to read data from html files # copy the download link by right-clicking on the 'download as csv' link url1 <- "http://data.cityofnewyork.us/api/views/b7kx-qikm/rows.csv?accessType=DOWNLOAD" farmers.markets <- read.csv( file=url1, stringsAsFactors=F ) names( farmers.markets ) dim( farmers.markets ) # 137 markets in our data set # We will use the 'Street.Address' field to create a full address head( farmers.markets$Street.Address ) addresses <- paste( farmers.markets$Street.Address, "New York", "NY", sep=", " ) head( addresses )

3. # I am suppressing messages here so the document is not full of non-informative output from Google. # # To see warnings you would simply run: # # market.coords <- geocode( addresses ) suppressMessages( market.coords <- geocode( addresses ) ) ggmap( get_map("Manhattan", col="bw", zoom=11 ), extent="device" ) + geom_point( data=market.coords, aes(x=lon, y=lat), size=5, col="red", alpha=0.5 ) # To add the location data back to your original dataset use cbind() farmers.markets <- cbind(farmers.markets, market.coords)

5. url2 = "http://data.cityofnewyork.us/api/views/gzdv-qiga/rows.csv?accessType=DOWNLOAD" my.data = read.csv(file=url2, stringsAsFactors=F ) library( ggmap ) full.address <- paste( my.data$Address, my.data$City, "NY", sep=", " ) head( full.address ) suppressMessages( location <- geocode( full.address ) ) nyc <- ggmap( get_map( "Queens, NY", color="bw", zoom=11 ), extent="device" ) h2 <- nyc + stat_density2d( data=location, aes(x=lon,y=lat, fill=..level..), bins=50, geom="polygon", alpha=0.1 ) h3 <- h2 + geom_point(data=location, aes(x=lon,y=lat),size = 2, alpha=0.3, col="goldenrod" ) h3

7. ### PLOT MULTIPLE TYPES OF POINTS ON ONE MAP lat.lon.01 100000) ) lat.lon.02 <- subset( houses.lat.long, sub=(houses$Price < 100000) ) syr.map <- ggmap( get_map( location='syracuse', zoom = 12, color="bw" ), extent="device" ) syr.map + geom_point( data=lat.lon.01, aes(x=lon, y=lat), size=3, col="green", alpha=0.8 ) + geom_point( data=lat.lon.02, aes(x=lon, y=lat), size=3, col="red", alpha=0.8 ) Don’t forget this!