reverse_geocode not working
xiaochuanfang opened this issue · comments
I tried the example from https://cran.r-project.org/web/packages/tidygeocoder/readme/README.html. But the address_found returned NA.
The data was:
name addr latitude longitude
White House 1600 Pennsylvania Ave NW, Washington, DC 38.89770 -77.03655
Transamerica Pyramid 600 Montgomery St, San Francisco, CA 94111 37.79520 -122.40279
Willis Tower 233 S Wacker Dr, Chicago, IL 60606 41.87535 -87.63576
The code was:
reverse <- lat_longs %>%
reverse_geocode(lat = latitude, long = longitude, method = 'osm',
address = address_found, full_results = TRUE)
Hi @xiaochuanfang has this happened multiple times? Can you please post the results of devtools::session_info()?
This is the first time I use tidygeocoder. Not sure something wrong on my side?
setting value
version R version 4.2.0 (2022-04-22 ucrt)
os Windows 10 x64 (build 22000)
system x86_64, mingw32
ui RStudio
language (EN)
collate English_United States.utf8
ctype English_United States.utf8
tz America/New_York
date 2022-08-05
rstudio 2022.07.1+554 Spotted Wakerobin (desktop)
pandoc NA
─ Packages ──────────────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.2.0)
cachem 1.0.6 2021-08-19 [1] CRAN (R 4.2.1)
callr 3.7.0 2021-04-20 [1] CRAN (R 4.2.0)
cli 3.3.0 2022-04-25 [1] CRAN (R 4.2.0)
crayon 1.5.1 2022-03-26 [1] CRAN (R 4.2.0)
curl 4.3.2 2021-06-23 [1] CRAN (R 4.2.0)
DBI 1.1.3 2022-06-18 [1] CRAN (R 4.2.0)
devtools * 2.4.4 2022-07-20 [1] CRAN (R 4.2.1)
digest 0.6.29 2021-12-01 [1] CRAN (R 4.2.0)
dplyr * 1.0.9 2022-04-28 [1] CRAN (R 4.2.0)
ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.2.0)
fansi 1.0.3 2022-03-24 [1] CRAN (R 4.2.0)
fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.2.0)
fs 1.5.2 2021-12-08 [1] CRAN (R 4.2.0)
generics 0.1.2 2022-01-31 [1] CRAN (R 4.2.0)
glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.0)
hms 1.1.1 2021-09-26 [1] CRAN (R 4.2.0)
htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.2.0)
htmlwidgets 1.5.4 2021-09-08 [1] CRAN (R 4.2.1)
httpuv 1.6.5 2022-01-05 [1] CRAN (R 4.2.1)
httr 1.4.3 2022-05-04 [1] CRAN (R 4.2.0)
jsonlite 1.8.0 2022-02-22 [1] CRAN (R 4.2.0)
later 1.3.0 2021-08-18 [1] CRAN (R 4.2.1)
lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.2.0)
magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.0)
memoise 2.0.1 2021-11-26 [1] CRAN (R 4.2.1)
mime 0.12 2021-09-28 [1] CRAN (R 4.2.0)
miniUI 0.1.1.1 2018-05-18 [1] CRAN (R 4.2.1)
pillar 1.7.0 2022-02-01 [1] CRAN (R 4.2.0)
pkgbuild 1.3.1 2021-12-20 [1] CRAN (R 4.2.1)
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.0)
pkgload 1.3.0 2022-06-27 [1] CRAN (R 4.2.1)
prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.2.0)
processx 3.6.1 2022-06-17 [1] CRAN (R 4.2.0)
profvis 0.3.7 2020-11-02 [1] CRAN (R 4.2.1)
progress 1.2.2 2019-05-16 [1] CRAN (R 4.2.0)
promises 1.2.0.1 2021-02-11 [1] CRAN (R 4.2.1)
ps 1.7.1 2022-06-18 [1] CRAN (R 4.2.0)
purrr 0.3.4 2020-04-17 [1] CRAN (R 4.2.0)
R6 2.5.1 2021-08-19 [1] CRAN (R 4.2.0)
Rcpp 1.0.8.3 2022-03-17 [1] CRAN (R 4.2.0)
remotes 2.4.2 2021-11-30 [1] CRAN (R 4.2.1)
rlang 1.0.4 2022-07-12 [1] CRAN (R 4.2.1)
rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.2.0)
sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.1)
shiny 1.7.2 2022-07-19 [1] CRAN (R 4.2.1)
stringi 1.7.6 2021-11-29 [1] CRAN (R 4.2.0)
stringr 1.4.0 2019-02-10 [1] CRAN (R 4.2.0)
tibble 3.1.7 2022-05-03 [1] CRAN (R 4.2.0)
tidygeocoder * 1.0.5 2021-11-02 [1] CRAN (R 4.2.1)
tidyselect 1.1.2 2022-02-21 [1] CRAN (R 4.2.0)
urlchecker 1.0.1 2021-11-30 [1] CRAN (R 4.2.1)
usethis * 2.1.6 2022-05-25 [1] CRAN (R 4.2.1)
utf8 1.2.2 2021-07-24 [1] CRAN (R 4.2.0)
vctrs 0.4.1 2022-04-13 [1] CRAN (R 4.2.0)
xtable 1.8-4 2019-04-21 [1] CRAN (R 4.2.0)
[1] C:/Users/xiaoc/AppData/Local/R/win-library/4.2
[2] C:/Program Files/R/R-4.2.0/library
Code:
data <- read.csv (paste (path, "sample2.csv", sep = ""))
reverse <- data %>%
reverse_geocode(lat = longitude, long = latitude, method = 'osm',
address = address_found, full_results = TRUE)
reverse
Sample2.csv:
name | addr | latitude | longitude
White House | 1600 Pennsylvania Ave NW, Washington, DC | 38.8977 | -77.03655
Transamerica Pyramid | 600 Montgomery St, San Francisco, CA 94111 | 37.7952 | -122.4028
Willis Tower | 233 S Wacker Dr, Chicago, IL 60606 | 41.8754 | -87.63576
R script result:
A tibble: 3 × 5
name addr latitude longitude address_found
1 White House 1600 Pennsylvania Ave NW, Wash… 38.9 -77.0 NA
2 Transamerica Pyramid 600 Montgomery St, San Francis… 37.8 -122. NA
3 Willis Tower 233 S Wacker Dr, Chicago, IL 6… 41.9 -87.6 NA
Hmm I don't notice any obvious issues with your package versions. What happens if you run this?
reverse_geo(lat = 38.895865, long = -77.0307713, method = "osm")See expected results in the examples here: https://jessecambon.github.io/tidygeocoder/reference/reverse_geo.html
You could also try to update all your packages to see if that resolves the issue.
I'm able to get
A tibble: 1 × 3
lat long address
1 38.9 -77.0 Pennsylvania Avenue, Washington, District of Columbia, 20045, United Sta…
Hi @xiaochuanfang were you able to get this working? If so, what was the solution?
No, I can't get it work. So I'm going work with the reverse_geo function from the tidygeocoder. You also facing the same problem too?
No I wasn't able to reproduce your issue. You are able to get results with reverse_geo but not reverse_geocode? With the same inputs?
Same input but reverse_geo worked while reverse_geocode doesn't work for me.
csv:
| latitude | longitude | address |
|---|---|---|
| 38.895865 | -77.0307713 |
Code:
sample <- read.csv (paste (path, "sample3.csv", sep = ""))
reverse <- sample %>%
reverse_geocode(lat = longitude, long = latitude, method = 'osm',
address = address_found, full_results = TRUE)
reverse
Result:
A tibble: 1 × 4
latitude longitude address address_found
1 38.9 -77.0 NA NA
That is odd. Are you able to run the examples in the reverse_geocode documentation?
https://jessecambon.github.io/tidygeocoder/reference/reverse_geocode.html
library(tibble)
library(dplyr, warn.conflicts = FALSE)
tibble(
latitude = c(38.895865, 43.6534817),
longitude = c(-77.0307713, -79.3839347)
) %>%
reverse_geocode(
lat = latitude,
long = longitude,
method = "osm",
full_results = TRUE
)I think this one works:
A tibble: 2 × 22
latitude longitude address place_id licence osm_type osm_id osm_lat osm_lon road city state
1 38.9 -77.0 Pennsylvania … 2.25e8 Data ©… way 5.65e8 38.895… -77.03… Penn… Wash… Dist…
2 43.7 -79.4 Toronto City … 1.53e8 Data ©… way 1.99e8 43.653… -79.38… Quee… Old … Onta…
… with 10 more variables: ISO3166-2-lvl4 , postcode , country ,
country_code , boundingbox , amenity , house_number , neighbourhood ,
quarter , state_district
That's good. Since that works, I'm guessing there may be an issue with the data frame that you pass to reverse_geocode (when you get NA results). You could print the values of the latitude and longitude columns to the screen and see if you spot anything.
If that doesn't reveal the problem then see if you can make a reproducible example with the reprex package:
Oh yes. I already asked in stackoverflow. https://stackoverflow.com/questions/73255542/unknown-issue-prevents-geocode-reverse-from-working. So far haven't heard an acceptable answer yet.