tidygeocoder | Tidygeocoder makes getting data from geocoding services | Development Tools library

Im trying to loop the reverse_geo() function from tidygeocoder package through a list.

When I apply the function to a single data frame it looks like this:

Below is an example of animating vehicle moving from A to B. [solved by @mrhellmann here, there are solutions also available]

I want to animate vehicle moving from A to B and then wait at B for sometime and then return to A. Below is the code which has animations of both the trip (A-B and B-A).

1. How can we merge osroute_sampled_1 and osroute_sampled_2 to create single animation?

2. Also, how can we add wait time (make vehicle stationary for few seconds at B?

Note - Vehicle may not return to A, it may go to C. So creating a single route using same origin and destination (A) via B may not work

below is an example of finding route, travel time and travel distance from 'One World Trade Center, NYC' to 'Madison Square Park, NYC' using osrm package in R. (I learnt it from Road Routing in R). The travel time here is 10.37 minutes.

I wanted to create an video for visualization.

Q. How can I create an animation of vehicle (represented by a marker) moving from 'One World Trade Center, NYC' to 'Madison Square Park, NYC' along the route ?

Ideally, we should know the speed in each road segment. But lets assume the vehicle moves non-stop at constant speed (= distance/time) between two location.

We can simply use tmap instead of leaflet also to create animation.

below is an example of finding route, travel time and travel distance from 'One World Trade Center, NYC' to 'Madison Square Park, NYC' using osrm package in R. (I learnt it from Road Routing in R). The travel time here is 10.37 minutes.

Q. How can I interpolate and find location after 5 minutes.

I have a vector of cities, and I need the latitude and longitude for each so I can map them using leaflet. I can easily add the state using paste() or by going into the excel sheet and manually adding it. I've seen this question answered before, but their solution was either too old and the packages aren't supported on R 4.0, or they wont work because of API keys needed that weren't needed when they answered the question.

I'm trying to use the the tidygeocoder option, but it doesn't give me correct lat and lon and I am not sure why.

I want to make a world map with a voronoi tessellation using the spherical nature of the world (not a projection of it), similar to this using D3.js, but with R.

As I understand ("Goodbye flat Earth, welcome S2 spherical geometry") the sf package is now fully based on the s2 package and should perform as I needed. But I don't think that I am getting the results as expected. A reproducible example:

Edit: It looks like this is a known issue with the "cascade" method. Results that return NA values after the first attempt don't like being converted to doubles when subsequent methods return lat/lons.

Data: I have a list of addresses that I need to geocode. I'm using lapply() to split-apply-combine, which works, but very slowly. My thought to split (further)-apply-combine is returning errors about dim names and sizes that are confusing to me.

This has been a multi-step process so let me try and explain what is going on...

Am working on writing about 2000 files to csv. This is a geocoding project, and decided to use tidygeocoder, which unfortunately results in a timeout error with some frequency, but it works well enough in my workflow.

The first process was to read the various files from csv, and to name them. Just testing on the first 4 files so I get the process right.

Passing the 4 file names to read_csv, then set names, finally within each file there is a Combine_Address column, which I use to geocode. Again no problems. However, the final issue is naming.

Each of the four files should have a unique name but I consistently end with the error message

Error in stream_delim_(df, path, ..., bom = bom, quote_escape = quote_escape) : invalid connection

which has resulted from both this...

• write_csv(path = here("excel_output", "geocode_output", paste0(names(.x),"_geocode.csv"))))

and

• write_csv(path = here("excel_output", "geocode_output", glue("{names(.x)}_geocode.csv"))))