-
Notifications
You must be signed in to change notification settings - Fork 1
/
code_for_map.R
183 lines (165 loc) · 11.1 KB
/
code_for_map.R
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
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
library(leaflet)
library(mapview)
library(htmltools)
library(dplyr)
#codes use: 1-currentwork, 2-pastwork, 3-training, 4-personnal, 5-conferences, 6-systems I studied
my.loc <- as.data.frame(rbind(c(5.447427, 43.529742, 4, "My hometown"), #Aix-en-Provence
c(6.2333, 44.1, 3, "'IUT' Environmental Biology 2009-11"), #Digne
c(-3.188267, 55.953252, 3, "Bachelor in Environmental Science 2011-12"), #Edinburgh
c(-1.514699, 43.481402, 3, "Master in Aquatic Ecology 2012-14"), #Anglet
c(5.8667, 45.65, 2, "UMR CARRTEL, USMB (Research Associate 2018)"), #Bourget-du-lac
c(5.917781, 45.564601, 3, "UMR CARRTEL, INRAE, USMB (PhD student 2014-18)"), #Chambéry USMB
c(6.477635, 46.373565, 2, "UMR CARRTEL, INRAE, USMB (PhD student 2014-18)"), #Thonon
c(8.555371, 45.928306, 2, "CNR-ISE (7 months in 2016 during PhD)"), #Verbania
c(-73.212072, 44.475882, 2, "University of Vermont (postdoc 2018-2021)"), #Burlington
c(2.3488, 48.8534, 2, "iEES-Paris, CNRS, Sorbonne Université (postdoc 2021-2022)"), #Paris
c(5.5117, 43.5228, 1, "OFB, Pôle R&D ECLA (2022-current)"), #Aix-en-Provence
#conferences
c(18.063240,59.334591,5, "NETLAKE workshop 2014"), #Erken - Stockholm coordinates
c(6.60793,46.40111, 5, "Summer school in limnology 2014"), #Evian Summer school
c(5.447427, 43.529742, 5, "Rencontres Lacs Sentinelles 2014"), #Aix-en-Provence
c(6.143158,46.204391,5, "SEFS9 2015"), #Geneva CH
c(6.58793,46.40111, 5, "NETLAKE meeting 2015"), #Evian Summer school
c(105.071858, 51.903210, 5, "Summer school in limnology 2015"), #Bolshiye Koty,
c(5.917781, 45.564601, 5, "Meeting AFS 2015"), #Chambéry
c(11.30427, 46.01217, 5, "Cladoceran subfossils workshop 2016"), #Levico Terme IT
c(-0.87734,41.65606 ,5, "PAGES 2017"), #Zaragoza ES
c(17.25175, 49.59552, 5, "SEFS10 2017"), #Olomouc CZ
c(-111.876183, 40.758701, 5, "PAGES Ecore3 workshop 2018"), #Salt Lake City, UT
c(115.8614,-31.95224, 5, "AEMON-J workshop 2018"), #Perth WA
c(115.517,-32.002,5, "GLEON20 All hands' meeting 2018"), #Rottnest Island WA
c(-73.92097, 41.70037 , 5, "NYNEDAFS 2019"), #Poughkeepsie
#c(-77.9391797,43.2136713,5, "IAGLR 2019"), #Brockport NY
c(-82.639999,27.773056,5, "Ecopath 35 2019"), #St Petersburg FL
c(-73.9820,44.2796,5, "NYAFS 2020"), #Lake Placid, NY
c(-73.212072, 44.475882,5, "GLEON 21.5 2020"), #Remote, putting Burlington
c(-73.212072, 44.475882,5, "Aquacosm 2021"), #Remote, putting Burlington
c(-6.266155,53.350140,5, "SEFS12 2021"), #Remote,Dublin
c(13.404954,52.520008, 5, "SIL 2022"), #Berlin
c( -105.084419,40.585258, 5, "John Wesley Powell Center Workshop"), #Fort Collins
#mylakes
c(-1.16667, 44.65, 6, "Master thesis Year 1"),#Bassin d'Arcachon
c(6.7916635,45.98832938 ,6, "Master thesis Year 2"),#Lac d'Anterne
c(6.0975, 44.9505556,6, "Master thesis Year 2"),#Lac de la Muzelle
c(6.16442,45.86858,6, "PhD thesis work"),#LakeAnnecy
c(5.86257,45.73662,6, "PhD thesis work"),#LakeBourget
c(6.51742,46.44267,6, "PhD thesis work"),#LakeGeneva
c(5.53530,45.45492,6, "PhD thesis work"),#LakeAiguebelette
#c(9.266111,45.994444,5),#LakeComo
c(8.5825,45.905,6, "PhD thesis work"),#LakeMaggiore
c(10.725,45.981944,6, "PhD thesis work"),#LakeLedro
c(10.625,45.555278,6, "PhD thesis work"),#LakeGarda
c(8.96,45.981944,6, "PhD thesis work"),#LakeLugano
c(8.733333,45.816667,6, "PhD thesis work"),#LakeVarese
c(6.285833,46.639444,6, "PhD thesis work"),#LakeJoux (de)
c(8.6833306, 47.249999 ,6, "PhD thesis work"),#Lake Zurich
c(6.90249639, 45.45916483, 6, "Research associate work"),#Lac de Tignes
c(-73.333332, 44.5333312, 6, "postdoc work"),#Lake Champlain
c(2.670633, 48.283761, 6, "postdoc work") #CEREEP Ecotron
)
)
colnames(my.loc) <- c("lat","long","code","description")
# create the categories
my.loc <- mutate(my.loc, group = cut(as.numeric(code), breaks = c(0, 1,2,3,4,5, Inf), labels = c("currentwork", "work", "education", "personnal", "conferences", "mysystems")))
my.loc$lat <- as.numeric(paste(my.loc$lat))
my.loc$long <- as.numeric(paste(my.loc$long))
# create separate dataframes
for (i in unique(my.loc$code)) {
nam <- paste("my.loc", i, sep = ".")
assign(nam, my.loc[my.loc$code==i,])
}
#the html file
my.loc.html <- as.data.frame(rbind(c(5.447427, 43.529743, "<b><a href='images/map/Beaurecueil.JPG' target='_blank'>Sainte Victoire</a></b><br/>Beaurecueil, France"),
c(-1.514699, 43.481402,"<b><a href='images/map/anglet.jpg' target='_blank'>Plage de la Marinella</a></b><br/>Anglet, France"),
c(7.641618, 45.980537,"<b><a href='images/map/zermatt.jpg' target='_blank'>Matterhorn</a></b><br/>Zermatt, Switzerland"),
c(-72.928829618, 44.159832694,"<b><a href='images/map/mount_ellen.JPG' target='_blank'>Mount Ellen</a></b><br/>Green Mountains, VT"),
c(-112.9513500, 37.2594333,"<b><a href='images/map/angelslanding.JPG' target='_blank'>Angel's landing</a></b><br/>Zion National Park, UT"),
c(6.701810,46.3385, "<b><a href='images/map/tetedesfieux.jpg' target='_blank'>Tête des fieux</a></b><br/>Chablais, France"),
c(115.517,-32.002,"<b><a href='images/map/smokingceremony.JPG' target='_blank'>Smoking ceremony</a></b><br/>Rottnest Island, WA")
))
colnames(my.loc.html) <- c("lat","long","description")
my.loc.html$lat <- as.numeric(paste(my.loc.html$lat))
my.loc.html$long <- as.numeric(paste(my.loc.html$long))
### I downloaded markers from Google Images
### https://raw.githubusercontent.com/lvoogdt/Leaflet.awesome-markers/master/dist/images/markers-soft.png
myIcons <- iconList(currentwork = makeIcon(paste0(getwd(),"/images/icons/point_blue.png"), iconWidth = 12, iconHeight =12),
work = makeIcon(paste0(getwd(),"/images/icons/point.png"), iconWidth = 12, iconHeight =12),
#work = makeIcon(paste0(getwd(),"/images/icons/work.png"), iconWidth = 12, iconHeight =12),
education = makeIcon(paste0(getwd(),"/images/icons/education.png"), iconWidth = 12, iconHeight =12),
personnal = makeIcon(paste0(getwd(),"/images/icons/home.png"), iconWidth = 12, iconHeight =12),
conferences = makeIcon(paste0(getwd(),"/images/icons/conference.png"), iconWidth = 12, iconHeight =12),
mysystems = makeIcon(paste0(getwd(),"/images/icons/cross.png"), iconWidth = 12, iconHeight =12)
#mysystems = makeIcon(paste0(getwd(),"/images/icons/waves.png"), iconWidth = 12, iconHeight =12)
)
# Pop up markers ####
# Map #####
mymap <-
leaflet() %>% addTiles() %>%
addMarkers(my.loc.1$lat, my.loc.1$long,
#clusterOptions = markerClusterOptions(),
group="Current workplace", icon = myIcons[my.loc.1$group],
popup = htmlEscape(my.loc.1$description)
) %>%
addMarkers(my.loc.2$lat, my.loc.2$long,
#clusterOptions = markerClusterOptions(),
group="Past workplaces", icon = myIcons[my.loc.2$group],
popup = htmlEscape(my.loc.2$description)
) %>%
addMarkers(my.loc.3$lat, my.loc.3$long,
group="Education",icon = myIcons[my.loc.3$group],
popup = htmlEscape(my.loc.3$description)
) %>%
addMarkers(my.loc.4$lat, my.loc.4$long,
group="Personnal",icon = myIcons[my.loc.4$group],
popup = htmlEscape(my.loc.4$description)
) %>%
addMarkers(my.loc.5$lat, my.loc.5$long,
group="Conferences and workshops",icon = myIcons[my.loc.5$group],
popup = htmlEscape(my.loc.5$description)
) %>%
addMarkers(my.loc.6$lat, my.loc.6$long,
group="Systems I study/studied", clusterOptions = markerClusterOptions(), icon = myIcons[my.loc.6$group],
popup = htmlEscape(my.loc.6$description)
) %>%
#to add multimedia
addPopups(my.loc.html$lat, my.loc.html$long, my.loc.html$description,options = popupOptions(closeButton = FALSE ), group="photos!"
) %>%
# Base groups
addTiles(group = "OSM (default)") %>%
addProviderTiles(providers$Stamen.Toner, group = "Toner") %>%
addProviderTiles(providers$Stamen.TonerLite, group = "Toner Lite") %>%
# Overlay groups
# addCircles(~long, ~lat, 300, stroke = F, group = "code", color = getColor() ) %>%
# addPolygons(data = outline, lng = ~long, lat = ~lat,
# fill = F, weight = 2, color = "#FFFFCC", group = "Outline") %>%
# Layers control
addLayersControl(
baseGroups = c("Toner Lite", "Toner", "OSM"),
overlayGroups = c("Current workplace", "Past workplaces", "Personnal", "Conferences and workshops","Systems I study/studied", "photos!"),
options = layersControlOptions(collapsed = FALSE),
position = "bottomright"
) %>%
hideGroup(c("Personnal", "Past workplaces", "Education", "Conferences and workshops","Systems I study/studied", "photos!"))
mymap
# legend
#m <- mapview(breweries)
## create standalone .html
mapshot(mymap, url = paste0(getwd(), "/map.html"))
# outline <- quakes[chull(quakes$long, quakes$lat),]
#
# map <- leaflet(quakes) %>%
# # Base groups
# addTiles(group = "OSM (default)") %>%
# addProviderTiles(providers$Stamen.Toner, group = "Toner") %>%
# addProviderTiles(providers$Stamen.TonerLite, group = "Toner Lite") %>%
# # Overlay groups
# addCircles(~long, ~lat, ~10^mag/5, stroke = F, group = "Quakes") %>%
# addPolygons(data = outline, lng = ~long, lat = ~lat,
# fill = F, weight = 2, color = "#FFFFCC", group = "Outline") %>%
# # Layers control
# addLayersControl(
# baseGroups = c("Toner Lite", "OSM (default)", "Toner"),
# overlayGroups = c("Quakes", "Outline"),
# options = layersControlOptions(collapsed = FALSE)
# )
# map