leaflet
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 | # !formatR
library(leaflet)
m = leaflet() %>% addTiles()
m # a map with the default OSM tile layer
# set bounds
m %>% fitBounds(0, 40, 10, 50)
# move the center to Snedecor Hall
m = m %>% setView(-93.65, 42.0285, zoom = 17)
m
# popup
m %>% addPopups(-93.65, 42.0285, 'Here is the <b>Department of Statistics</b>, ISU')
rand_lng = function(n = 10) rnorm(n, -93.65, .01)
rand_lat = function(n = 10) rnorm(n, 42.0285, .01)
# use automatic bounds derived from lng/lat data
m = m %>% clearBounds()
# popup
m %>% addPopups(rand_lng(), rand_lat(), 'Random popups')
# marker
m %>% addMarkers(rand_lng(), rand_lat())
m %>% addMarkers(
rand_lng(), rand_lat(), popup = paste('A random letter', sample(LETTERS, 10))
)
Rlogo = file.path(R.home('doc'), 'html', 'logo.jpg')
m %>% addMarkers(
174.7690922, -36.8523071, icon = list(
iconUrl = Rlogo, iconSize = c(100, 76)
), popup = 'R was born here!'
)
m %>% addMarkers(rnorm(30, 175), rnorm(30, -37), icon = list(
iconUrl = Rlogo, iconSize = c(25, 19)
))
m %>% addMarkers(
c(-71.0382679, -122.1217866), c(42.3489054, 47.6763144), icon = list(
iconUrl = 'http://www.rstudio.com/wp-content/uploads/2014/03/blue-125.png'
), popup = c('RStudio @ Boston', 'RStudio @ Seattle')
)
# circle (units in metres)
m %>% addCircles(rand_lng(50), rand_lat(50), radius = runif(50, 50, 150))
# circle marker (units in pixels)
m %>% addCircleMarkers(rand_lng(50), rand_lat(50), color = '#ff0000')
m %>% addCircleMarkers(rand_lng(100), rand_lat(100), radius = runif(100, 5, 15))
# rectangle
m %>% addRectangles(
rand_lng(), rand_lat(), rand_lng(), rand_lat(),
color = 'red', fill = FALSE, dashArray = '5,5', weight = 3
)
# polyline
m %>% addPolylines(rand_lng(50), rand_lat(50))
# polygon
m %>% addPolygons(rand_lng(), rand_lat(), layerId = 'foo')
# geoJSON
seattle_geojson = list(
type = "Feature",
geometry = list(
type = "MultiPolygon",
coordinates = list(list(list(
c(-122.36075812146, 47.6759920119894),
c(-122.360781646764, 47.6668890126755),
c(-122.360782108665, 47.6614990696722),
c(-122.366199035722, 47.6614990696722),
c(-122.366199035722, 47.6592874248973),
c(-122.364582509469, 47.6576254522105),
c(-122.363887331445, 47.6569107302038),
c(-122.360865528129, 47.6538418253251),
c(-122.360866157644, 47.6535254473167),
c(-122.360866581103, 47.6533126275176),
c(-122.362526540691, 47.6541872926348),
c(-122.364442114483, 47.6551892850798),
c(-122.366077719797, 47.6560733960606),
c(-122.368818463838, 47.6579742346694),
c(-122.370115159943, 47.6588730808334),
c(-122.372295967029, 47.6604350102328),
c(-122.37381369088, 47.660582362063),
c(-122.375522972109, 47.6606413027949),
c(-122.376079703095, 47.6608793094619),
c(-122.376206315662, 47.6609242364243),
c(-122.377610811371, 47.6606160735197),
c(-122.379857378879, 47.6610306942278),
c(-122.382454873022, 47.6627496239169),
c(-122.385357955057, 47.6638573778241),
c(-122.386007328104, 47.6640865692306),
c(-122.387186331506, 47.6654326177161),
c(-122.387802656231, 47.6661492860294),
c(-122.388108244121, 47.6664548739202),
c(-122.389177800763, 47.6663784774359),
c(-122.390582858689, 47.6665072251861),
c(-122.390793942299, 47.6659699214511),
c(-122.391507906234, 47.6659200946229),
c(-122.392883050767, 47.6664166747017),
c(-122.392847210144, 47.6678696739431),
c(-122.392904778401, 47.6709016021624),
c(-122.39296705153, 47.6732047491624),
c(-122.393000803496, 47.6759322346303),
c(-122.37666945305, 47.6759896300663),
c(-122.376486363943, 47.6759891899754),
c(-122.366078869215, 47.6759641734893),
c(-122.36075812146, 47.6759920119894)
)))
),
properties = list(
name = "Ballard",
population = 48000,
# You can inline styles if you want
style = list(
fillColor = "yellow",
weight = 2,
color = "#000000"
)
),
id = "ballard"
)
m %>% setView(-122.36075812146, 47.6759920119894, zoom = 13) %>% addGeoJSON(seattle_geojson)
# use the Dark Matter layer from CartoDB
leaflet() %>% addTiles('http://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png',
attribution = paste(
'© <a href="http://openstreetmap.org">OpenStreetMap</a> contributors',
'© <a href="http://cartodb.com/attributions">CartoDB</a>'
)
) %>% setView(-122.36, 47.67, zoom = 10)
# provide a data frame to leaflet()
categories = LETTERS[1:10]
df = data.frame(
lat = rand_lat(100), lng = rand_lng(100), size = runif(100, 5, 20),
category = factor(sample(categories, 100, replace = TRUE), levels = categories),
value = rnorm(100)
)
m = leaflet(df) %>% addTiles()
m %>% addCircleMarkers(~lng, ~lat, radius = ~size)
m %>% addCircleMarkers(~lng, ~lat, radius = runif(100, 4, 10), color = c('red'))
# Discrete colors using the "RdYlBu" colorbrewer palette, mapped to categories
RdYlBu = colorFactor("RdYlBu", domain = categories)
m %>% addCircleMarkers(~lng, ~lat, radius = ~size,
color = ~RdYlBu(category), fillOpacity = 0.5)
# Continuous colors using the "Greens" colorbrewer palette, mapped to value
greens = colorNumeric("Greens", domain = NULL)
m %>% addCircleMarkers(~lng, ~lat, radius = ~size,
color = ~greens(value), fillOpacity = 0.5)#'
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