I am trying to use both hc_motion and hc_drilldown within a highcharter map.
I can manage to get the hc_motion working with the full map, and also a drilldown from a larger area to its smaller ones (UK Region to Local Authority in this instance).
However, after drilling-down and zooming back out again, the hc_motion is now frozen.
Why is this and is there anyway around it? Or are hc_motion and hc_drilldown not compatible? While in this instance the drilldown is static, if it possible hc_motion within each drilldown would be ideal, although will no even bother trying if even a static can't be incorporated without affecting the hc_motion.
Anyway, example code is below, thanks!
region_lad_lookup = read_csv("https://opendata.arcgis.com/api/v3/datasets/6a41affae7e345a7b2b86602408ea8a2_0/downloads/data?format=csv&spatialRefId=4326") %>%
clean_names() %>%
select(
region_code = rgn21cd,
region_name = rgn21nm,
la_name = lad21nm,
la_code = lad21cd,
value = fid
) %>%
inner_join(
read_sf("https://opendata.arcgis.com/api/v3/datasets/21f7fb2d524b44c8ab9dd0f971c96bba_0/downloads/data?format=geojson&spatialRefId=4326") %>%
clean_names() %>%
filter(grepl("^E", lad21cd)) %>%
select(la_code = lad21cd),
by = "la_code"
)
region_map = read_sf("https://opendata.arcgis.com/api/v3/datasets/bafeb380d7e34f04a3cdf1628752d5c3_0/downloads/data?format=geojson&spatialRefId=4326") %>%
clean_names() %>%
select(
area_code = rgn18cd,
area_name = rgn18nm
) %>%
st_as_sf(crs = 27700) %>%
sf_geojson() %>%
fromJSON(simplifyVector = F)
year_vec = c(2015, 2016, 2017, 2018, 2019)
region_data = region_lad_lookup %>%
select(
area_code = region_code,
area_name = region_name
) %>%
distinct() %>%
crossing(year_vec) %>%
mutate(
value = runif(nrow(.)),
drilldown = tolower(area_name)
)
region_vec = region_data %>%
select(area_name) %>%
distinct() %>%
pull()
get_la_map = function(data, region_val){
data = data %>%
filter(region_name == region_val) %>%
select(
area_code = la_code,
area_name = la_name,
geometry
) %>%
st_as_sf(crs = 27700) %>%
sf_geojson() %>%
fromJSON(simplifyVector = F)
return(data)
}
get_la_data = function(data, region_val){
data = data %>%
filter(region_name == region_val) %>%
select(
area_name = la_name,
area_code = la_code,
value
)
return(data)
}
get_region_map_list = function(region_val){
output = list(
id = tolower(region_val),
data = list_parse(get_la_data(region_lad_lookup, region_val)),
mapData = get_la_map(region_lad_lookup, region_val),
name = region_val,
value = "value",
joinBy = "area_name"
)
return(output)
}
region_ds = region_data %>%
group_by(area_name) %>%
do(
item= list(
area_name = first(.$area_name),
sequence = .$value,
value = first(.$value),
drilldown = first(.$drilldown)
)
) %>%
.$item
highchart(type = "map") %>%
hc_add_series(
data = region_ds,
mapData = region_map,
value = "value",
joinBy = "area_name",
borderWidth = 0
) %>%
hc_colorAxis(
minColor = "lightblue",
maxColor = "red"
) %>%
hc_motion(
enabled = TRUE,
axisLabel = "year",
series = 0,
updateIterval = 200,
magnet = list(
round = "floor",
step = 0.1
)
) %>%
hc_drilldown(
allowPointDrilldown = TRUE,
series = lapply(region_vec, get_region_map_list)
)