Hello (mapping novice here!)
I have had a good hunt around and can't find a solution to what seems to be a tricky problem.
I have basic XY (coordinate) data:
What I want to do is create neighbouring polygons based on the coordinate data that do not overlap and have a certain size limit (so they don't extend forever into the ocean).
Forgive my poor MS Paint skills, but the desired outcome would be something like this:
I have a polygon that marks the land/sea interface so polygons cannot overlap that either.
I am using Leaflet to make these maps interactive, its not for any statistical analysis but to provide an overview.
The ultimate aim is to have each polygon coloured by a variable (e.g. Temperature) with ecological data overlaid.
Some example data:
> data[1:10,]
Station Lat_dec Long_dec Surface_T
1 247 50.33445 -2.240283 15.19
2 245 50.58483 -2.535217 14.11
3 239 50.16883 -2.509250 15.41
4 225 50.32848 -2.765967 15.34
5 229 50.63900 -2.964800 14.09
6 227 50.33757 -3.303217 15.12
7 217 50.16657 -3.563817 15.13
8 207 49.66683 -3.556550 15.04
9 213 50.16512 -3.824667 14.97
10 219 49.83707 -3.815483 14.78
the Code to produce figure 1 is a basic leaflet script:
leaflet() %>%
addProviderTiles('Esri.OceanBasemap'
) %>%
addCircleMarkers(data = data,
lng = ~Long_dec,
lat = ~Lat_dec,
radius = 2
) %>%
addPolygons(data = Land,
weight = 1,
color = 'black')
Its been frustrating me all day, most of the examples use downloaded polygons (e.g. what seems to be the classic US States rather than making them)
Any help greatly appreciated! (or am I asking too much!)
Jim


