Chapter 33 Distribution of Indian Meteorite Landings
The following plot shows the distribution of the Indian meteorite landings.Here we have filtered the Indian meteorite landings by filtering the latitude and longitude.
IndiaMetLandings = MetLandings %>%
filter(reclat > 8) %>%
filter ( reclat < 38) %>%
filter( reclong > 68 ) %>%
filter(reclong < 98)
center_lon = median(IndiaMetLandings$reclong,na.rm = TRUE)
center_lat = median(IndiaMetLandings$reclat,na.rm = TRUE)
leaflet(IndiaMetLandings) %>% addProviderTiles("Esri.NatGeoWorldMap") %>%
addCircles(lng = ~reclong, lat = ~reclat,
color = c("red")) %>%
# controls
setView(lng=center_lon, lat=center_lat,zoom = 5)
33.1 Peek into the Indian Met Landings Data
IndiaMetLandings = IndiaMetLandings %>% arrange(desc(mass))
kable(head(IndiaMetLandings,6),"html") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
scroll_box(width = "800px")
name | id | nametype | recclass | mass | fall | year | reclat | reclong | GeoLocation |
---|---|---|---|---|---|---|---|---|---|
Sulagiri | 48951 | Valid | LL6 | 110000 | Fell | 2008 | 12.66667 | 78.03333 | (12.666670, 78.033330) |
Parnallee | 18108 | Valid | LL3.6 | 77600 | Fell | 1857 | 9.23333 | 78.35000 | (9.233330, 78.350000) |
Merua | 15492 | Valid | H5 | 71400 | Fell | 1920 | 25.48333 | 81.98333 | (25.483330, 81.983330) |
Mahadevpur | 47361 | Valid | H4/5 | 70500 | Fell | 2007 | 27.66667 | 95.78333 | (27.666670, 95.783330) |
Rahimyar Khan | 31302 | Valid | L5 | 67225 | Fell | 1983 | 28.22500 | 70.20000 | (28.225000, 70.200000) |
Dhajala | 6698 | Valid | H3.8 | 45000 | Fell | 1976 | 22.37778 | 71.42722 | (22.377780, 71.427220) |
33.2 Distribution of Indian Meteorite Landings with Fall Classification
The Different Fall Types are classified by the Red and Blue Colours.
factpal <- colorFactor(c("red","blue"),
IndiaMetLandings$fall)
leaflet(IndiaMetLandings) %>% addProviderTiles("Esri.NatGeoWorldMap") %>%
addCircles(lng = ~reclong, lat = ~reclat,
color = ~factpal(fall)) %>%
# controls
setView(lng=center_lon, lat=center_lat,zoom = 5) %>%
addLegend("bottomright", pal = factpal, values = ~fall,
title = "Meteorites landings and fall",
opacity = 1)
33.3 Distribution of Indian Meteorite Landings with Meteorite Mass
The mass of the Meteorites are indicated by the Radius of the Circles.
factpal <- colorFactor(c("red","blue"),
IndiaMetLandings$fall)
leaflet(IndiaMetLandings) %>% addProviderTiles("Esri.NatGeoWorldMap") %>%
addCircles(lng = ~reclong, lat = ~reclat,radius = ~(mass) ,
color = ~factpal(fall)) %>%
# controls
setView(lng=center_lon, lat=center_lat,zoom = 5) %>%
addLegend("bottomright", pal = factpal, values = ~fall,
title = "Meteorites landings and fall",
opacity = 1)
33.4 Heatmap of Indian Meteorite Landings
The intensity of the Heatmap is based on the mass of the meteorites.
IndiaMetLandings %>% leaflet() %>% addProviderTiles("Esri.NatGeoWorldMap") %>%
addHeatmap(lng = ~reclong, lat = ~reclat, intensity = ~mass,
blur = 20, max = 0.05, radius = 15) %>%
# controls
setView(lng=center_lon, lat=center_lat,zoom = 5)
33.5 Distribution of Indian Meteorite Landings with Cluster Markers
The meteorite landings have been clustered
and their numbers are being shown in the map.
IndiaMetLandings %>% leaflet() %>% addProviderTiles("Esri.OceanBasemap") %>%
addMarkers(lng = ~reclong, lat = ~reclat,clusterOptions = markerClusterOptions()) %>%
# controls
setView(lng=center_lon, lat=center_lat,zoom = 5)