Closed beingalink closed 6 years ago
You can set timeout
directly in opq
- see ?opq
, which also has a memsize
argument useful for large queries. Nevertheless, you still might not get results because overpass
itself will pre-estimate the rough size of the query and prioritize accordingly. In this case, all cycle paths in Bayern may simply be too many. Try with a smaller getbb
first and see how you go
Hi,
thanks for your answer. Unfortunately I seem to misunderstand you. opq(timeout = 40)
doesn't work for me. Could you perhaps demonstrate the usage according to my example? Thanks in advance!
edit: Sorry, I just saw that there is a new version 0.0.5.99 which isn't on CRAN yet. This version seems to have the features you mentioned. Guess I need to wait until it's on CRAN.
All works for me. Your query above times out, but simply replacing second line with
opq (timeout = 100) %>%
gives results. As warned, it's a huge amount of data, so is probably better saved in intermediate form first:
osm_bicycle_designated <- getbb("Bayern", display_name_contains = "Deutschland", featuretype = "state") %>%
opq(timeout = 100) %>%
add_osm_feature(key = "bicycle", value = "designated") %>%
osmdata_xml(filename="dat.xml", quiet = FALSE)
That generates around 60MB of data. Converting that to sf
may or may not work, depending on your system. Just try
dat <- osmdata_sf (q, doc = "dat.osm")
and see how you go
Sorrry, the problem is that I'm not on the latest version which only has this feature. The version I need isn't on CRAN yet, so I need to wait. Will try then and report back if it works for me. Thanks for your patience.
No worries @beingalink! You can use devools
:
devtools::install_github("ropensci/osmdata")
That will install the latest development version without having to wait for CRAN
It looks like I'm unable to retrieve data for this query:
It would be nice if I could set the query timeout myself. Also throwing a warning message in these cases would help as I didn't realize at first where the problem was.
Thanks for this great software and please keep this going!