Publish an interactive map as a GitHub gist

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Description

There are two ways to authorize to work with your GitHub account:

Using the PAT method is recommended.

Using the gist_auth() function you can authenticate seperately first, or if you're not authenticated, this function will run internally with each functionn call. If you have a PAT, that will be used, if not, OAuth will be used.

Usage

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map_gist(input, lat = "lat", lon = "long", geometry = "point",
  group = NULL, type = "FeatureCollection", file = "myfile.geojson",
  description = "", public = TRUE, browse = TRUE, ...)

Arguments

input

Input object

lat

Name of latitude variable

lon

Name of longitude variable

geometry

(character) Are polygons in the object

group

(character) A grouping variable to perform grouping for polygons - doesn't apply for points

type

(character) One of FeatureCollection or GeometryCollection

file

File name to use to put up as the gist file

description

Description for the Github gist, or leave to default (=no description)

public

(logical) Want gist to be public or not? Default: TRUE

browse

If TRUE (default) thef map opens in your default browser.

...

Further arguments passed on to POST

Examples

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## Not run: 
# From file
file <- "myfile.geojson"
geojson_write(us_cities[1:20, ], lat='lat', lon='long', file = file)
map_gist(file=as.location(file))

# From SpatialPoints class
library("sp")
x <- c(1,2,3,4,5)
y <- c(3,2,5,1,4)
s <- SpatialPoints(cbind(x,y))
map_gist(s)

# from SpatialPointsDataFrame class
x <- c(1,2,3,4,5)
y <- c(3,2,5,1,4)
s <- SpatialPointsDataFrame(cbind(x,y), mtcars[1:5,])
map_gist(s)

# from SpatialPolygons class
poly1 <- Polygons(list(Polygon(cbind(c(-100,-90,-85,-100),
   c(40,50,45,40)))), "1")
poly2 <- Polygons(list(Polygon(cbind(c(-90,-80,-75,-90),
   c(30,40,35,30)))), "2")
sp_poly <- SpatialPolygons(list(poly1, poly2), 1:2)
map_gist(sp_poly)

# From SpatialPolygonsDataFrame class
sp_polydf <- as(sp_poly, "SpatialPolygonsDataFrame")
map_gist(sp_poly)

# From SpatialLines class
c1 <- cbind(c(1,2,3), c(3,2,2))
c2 <- cbind(c1[,1]+.05,c1[,2]+.05)
c3 <- cbind(c(1,2,3),c(1,1.5,1))
L1 <- Line(c1)
L2 <- Line(c2)
L3 <- Line(c3)
Ls1 <- Lines(list(L1), ID = "a")
Ls2 <- Lines(list(L2, L3), ID = "b")
sl1 <- SpatialLines(list(Ls1))
sl12 <- SpatialLines(list(Ls1, Ls2))
map_gist(sl1)

# From SpatialLinesDataFrame class
dat <- data.frame(X = c("Blue", "Green"),
                 Y = c("Train", "Plane"),
                 Z = c("Road", "River"), row.names = c("a", "b"))
sldf <- SpatialLinesDataFrame(sl12, dat)
map_gist(sldf)

# From SpatialGrid
x <- GridTopology(c(0,0), c(1,1), c(5,5))
y <- SpatialGrid(x)
map_gist(y)

# From SpatialGridDataFrame
sgdim <- c(3,4)
sg <- SpatialGrid(GridTopology(rep(0,2), rep(10,2), sgdim))
sgdf <- SpatialGridDataFrame(sg, data.frame(val = 1:12))
map_gist(sgdf)

# from data.frame
## to points
map_gist(us_cities)

## to polygons
head(states)
map_gist(states[1:351, ], lat='lat', lon='long', geometry="polygon", group='group')

## From a list
mylist <- list(list(lat=30, long=120, marker="red"),
               list(lat=30, long=130, marker="blue"))
map_gist(mylist, lat="lat", lon="long")

# From a numeric vector
## of length 2 to a point
vec <- c(-99.74,32.45)
map_gist(vec)

## this requires numeric class input, so inputting a list will dispatch on the list method
poly <- c(c(-114.345703125,39.436192999314095),
          c(-114.345703125,43.45291889355468),
          c(-106.61132812499999,43.45291889355468),
          c(-106.61132812499999,39.436192999314095),
          c(-114.345703125,39.436192999314095))
map_gist(poly, geometry = "polygon")

# From a json object
(x <- geojson_json(c(-99.74,32.45)))
map_gist(x)
## another example
map_gist(geojson_json(us_cities[1:10,], lat='lat', lon='long'))

# From a geo_list object
(res <- geojson_list(us_cities[1:2,], lat='lat', lon='long'))
map_gist(res)

# From SpatialPixels
pixels <- suppressWarnings(SpatialPixels(SpatialPoints(us_cities[c("long", "lat")])))
summary(pixels)
map_gist(pixels)

# From SpatialPixelsDataFrame
pixelsdf <- suppressWarnings(
 SpatialPixelsDataFrame(points = canada_cities[c("long", "lat")], data = canada_cities)
)
map_gist(pixelsdf)

# From SpatialRings
library("rgeos")
r1 <- Ring(cbind(x=c(1,1,2,2,1), y=c(1,2,2,1,1)), ID="1")
r2 <- Ring(cbind(x=c(1,1,2,2,1), y=c(1,2,2,1,1)), ID="2")
r1r2 <- SpatialRings(list(r1, r2))
map_gist(r1r2)

# From SpatialRingsDataFrame
dat <- data.frame(id = c(1,2), value = 3:4)
r1r2df <- SpatialRingsDataFrame(r1r2, data = dat)
map_gist(r1r2df)

## End(Not run)

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