..p. <- function() invisible(readline("\nPress <return> to continue: "))
require(rCharts)
map1 = Leaflet$new()
map1$setView(c(45.5236, -122.675), 13)
map1$tileLayer("http://a.tiles.mapbox.com/v3/mapbox.control-room/{z}/{x}/{y}.png", zoom = 8)
map1
..p.() # ================================
map1 = Leaflet$new()
map1$setView(c(45.50867, -73.55399), 13)
map1
..p.() # ================================
map2 = Leaflet$new()
map2$setView(c(45.5236, -122.675), 10)
map2$tileLayer("http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png")
map2
..p.() # ================================
map3 <- Leaflet$new()
map3$setView(c(51.505, -0.09), zoom = 13)
map3$tileLayer(
"http://{s}.tile.cloudmade.com/BC9A493B41014CAABB98F0471D759707/997/256/{z}/{x}/{y}.png",
maxZoom = 18
)
map3$marker(c(51.5, -0.09), bindPopup = "<p> Hi. I am a popup </p>")
map3$marker(c(51.495, -0.083), bindPopup = "<p> Hi. I am another popup </p>")
map3$show(cdn = T)
map3$circle(c(51.5, -0.09))
..p.() # ================================
map4 = Leaflet$new()
map4$setView(c(29.6779, -95.4379), 10)
map4$tileLayer("http://{s}.tile.cloudmade.com/BC9A493B41014CAABB98F0471D759707/997/256/{z}/{x}/{y}.png")
# map4$tileLayer(provider = 'Stamen.Terrain')
data(crime, package = 'ggmap')
dat <- head(crime)[,c('lat', 'lon', 'offense')]
names(dat) <- c('lat', 'lng', 'offense')
map4$geocsv(dat)
map4
..p.() # ================================
#map5 = Leaflet$new()
#map5$setView(37.27667, -91.60611, 4)
#map5$tileLayer("http://{s}.tile.cloudmade.com/BC9A493B41014CAABB98F0471D759707/997/256/{z}/{x}/{y}.png")
#
#dat <- read.csv('geoCoded.csv')
#names(dat) <- c('address', 'lat', 'lng')
#dat <- transform(dat, color = 'red', fillColor = '#f03', fillOpacity = 0.5, radius = 10)
#map5$circle(dat)
#map5
..p.() # ================================
rMap <- function(location = 'montreal', zoom = 10, provider = 'MapQuestOpen.OSM'){
m1 <- Leaflet$new()
lnglat <- as.list(ggmap::geocode(location))
m1$setView(lnglat$lat, lnglat$lon, zoom = zoom)
m1$tileLayer(provider = provider)
return(m1)
}
r1 <- rMap()
mcgill <- as.list(ggmap::geocode('mcgill univesity'))
r1$marker(mcgill$lat, mcgill$lon, bindPopup = 'mcgill university')
r1
..p.() # ================================
map6 = Leaflet$new()
map6$setView(45.372, -121.6972, 12)
map6$tileLayer(provider ='Stamen.Terrain')
map6$marker(45.3288, -121.6625, bindPopup = 'Mt. Hood Meadows')
map6$marker(45.3311, -121.7113, bindPopup = 'Timberline Lodge')
..p.() # ================================
map1b = Leaflet$new()
map1b$setView(c(45.5236, -122.675), zoom = 14)
map1b$tileLayer(provider = 'MapQuestOpen.OSM')
map1b
..p.() # ================================
map3 <- Leaflet$new()
map3$setView(c(51.505, -0.09), zoom = 13)
map3$tileLayer(
"http://{s}.tile.cloudmade.com/BC9A493B41014CAABB98F0471D759707/997/256/{z}/{x}/{y}.png",
maxZoom = 18
)
map3$circle(c(51.5, -0.09), 100)
..p.() # ================================
map2 = Leaflet$new()
map2$setView(c(45.5236, -122.6750), 13)
map2$tileLayer(provider = 'Stamen.Toner')
map2$marker(c(45.5244, -122.6699), bindPopup = 'The Waterfront')
map2$circle(c(45.5215, -122.6261), radius = 500, bindPopup = 'Laurelhurst Park')
map2
..p.() # ================================
# devtools::install_github('rCharts', 'bbest') # tweak to make var geojsonLayer available
json = '{"type":"FeatureCollection","features":[
{"type":"Feature",
"properties":{"region_id":1, "region_name":"Australian Alps"},
"geometry":{"type":"Polygon","coordinates":[[[141.13037109375,-38.788345355085625],[141.13037109375,-36.65079252503469],[144.38232421875,-36.65079252503469],[144.38232421875,-38.788345355085625],[141.13037109375,-38.788345355085625]]]}},
{"type":"Feature",
"properties":{"region_id":4, "region_name":"Shark Bay"},
"geometry":{"type":"Polygon","coordinates":[[[143.10791015625,-37.75334401310656],[143.10791015625,-34.95799531086791],[146.25,-34.95799531086791],[146.25,-37.75334401310656],[143.10791015625,-37.75334401310656]]]}}
]}'
regions=RJSONIO::fromJSON(json)
lmap <- Leaflet$new()
lmap$tileLayer(provide='Stamen.TonerLite')
lmap$setView(c(-37, 145), zoom = 6)
lmap$geoJson(
regions,
style = "#! function(feature) {
var rgn2col = {1:'red',2:'blue',4:'green'};
return {
color: rgn2col[feature.properties['region_id']],
strokeWidth: '1px',
strokeOpacity: 0.5,
fillOpacity: 0.2
}; } !#",
onEachFeature = "#! function (feature, layer) {
// info rollover
if (document.getElementsByClassName('info leaflet-control').length == 0 ){
info = L.control({position: 'topright'}); // NOTE: made global b/c not ideal place to put this function
info.onAdd = function (map) {
this._div = L.DomUtil.create('div', 'info');
this.update();
return this._div;
};
info.update = function (props) {
this._div.innerHTML = '<h4>Field Name</h4>' + (props ?
props['region_id'] + ': <b> + props[fld] + </b>'
: 'Hover over a region');
};
info.addTo(map);
};
// mouse events
layer.on({
// mouseover to highlightFeature
mouseover: function (e) {
var layer = e.target;
layer.setStyle({
strokeWidth: '3px',
strokeOpacity: 0.7,
fillOpacity: 0.5
});
if (!L.Browser.ie && !L.Browser.opera) {
layer.bringToFront();
}
info.update(layer.feature.properties);
},
// mouseout to resetHighlight
mouseout: function (e) {
geojsonLayer.resetStyle(e.target);
info.update();
},
// click to zoom
click: function (e) {
var layer = e.target;
if ( feature.geometry.type === 'MultiPolygon' ) {
// for multipolygons get true extent
var bounds = layer.getBounds(); // get the bounds for the first polygon that makes up the multipolygon
// loop through coordinates array, skip first element as the bounds var represents the bounds for that element
for ( var i = 1, il = feature.geometry.coordinates[0].length; i < il; i++ ) {
var ring = feature.geometry.coordinates[0][i];
var latLngs = ring.map(function(pair) {
return new L.LatLng(pair[1], pair[0]);
});
var nextBounds = new L.LatLngBounds(latLngs);
bounds.extend(nextBounds);
}
map.fitBounds(bounds);
} else {
// otherwise use native target bounds
map.fitBounds(e.target.getBounds());
}
}
});
} !#")
legend_vec = c('red'='high', 'blue'='medium', 'green'='low')
lmap$legend(position = 'bottomright',
colors = names(legend_vec),
labels = as.vector(legend_vec))
lmap
..p.() # ================================
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