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Methods for sf objects #95

Merged
merged 46 commits into from
Jan 11, 2017
Merged

Methods for sf objects #95

merged 46 commits into from
Jan 11, 2017

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ateucher
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Hey @sckott - I'm not sure you'll want to merge this yet, but thought I'd let you know how it was going. I think it's mostly working well, but obviously have to flesh out the tests. If you haven't seen it, the sf vignette gives a good overview of the sf and related classes.

get_epsg(x[[geom_col]])
}

get_epsg.sfc <- function(x) attr(x, "epsg")
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This has now changed; sfc objects have a crs attribute which is a list with a epsg integer and a proj4string proj4string. I guess that only in case epsg is 4326 you can directly convert to geojson, otherwise you need to st_transform into epsg 4326.

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Oh, good to know, thanks @edzer. And thanks very much for taking the time to look.

Yes, I've been struggling with what to do with non-EPSG:4326 CRS's. As written, the sf to geojson methods don't depend on the sf package, adding st_transform would require it. @sckott what do you think, as I know you were hoping to keep the dependencies down? We could add it in Suggests (which I think we would need to anyways for tests), then conditionally transform to 4326 (with a message) if sf is available, otherwise throw an error telling the user they need to transform it? Or bite the bullet and add it in Imports, as I think (hope!) sf will replace sp as the standard.

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I lean towards Suggests, but if needs to go in Imports, so be it

@ateucher
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Ok I'll go with suggests. I wonder if in the same vein we can eventually move sp and rgdal to Suggests if can parse sp to json without them

@sckott
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sckott commented Nov 16, 2016

I wonder if in the same vein we can eventually move sp and rgdal to Suggests if can parse sp to json without them

that's my hope! at least rgdal via #41 - with geojson's ability to parse sp classes to json we don't have support for all sp classes

@edzer
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edzer commented Nov 16, 2016

Nothing wrong with Suggests: as long as you use constructs like this. Also pls use sf::st_crs rather than accessing attributes directly; works for more cases (sf and sfc), and makes your code live longer.

@ateucher
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Yep, that is how I was planning on doing it. I think I need to access the crs attribute directly though, because we want to first check the CRS only to see if we need st_transform, otherwise we can go directly to json without depending on sf. I.e.:

epsg <- attr(x, "crs")[["epsg"]]
if (epsg != 4326)) {
  if (!requireNamespace("sf", quietly = TRUE)) {
    stop("Your input is not in a CRS that geojson supports and you don't have the 'sf' package installed. Please install and try again")
  } else {
    x <- sf::st_transform(x, 4326)
  }
}
## turn x into json

Unless I'm missing something else...?

@edzer
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edzer commented Nov 16, 2016

No that should work - I didn't anticipate you want to write the geojson without sf::st_write, good luck!

@ateucher
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lol, thanks! Unless I'm really deceiving myself, because sf and geojson both use simple features, it's relatively simple to parse an sf[cg] object into a list that mirrors the geojson structure, then use JSONlite to turn it into a geojson character string. I haven't dealt with Z or M values yet, and I'm sure there are other cases that I'm missing, but inital tests are promising.

@edzer
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edzer commented Nov 16, 2016

Lucky you - the geojson standard excludes Z and M, and constraints to the first 7 types.

@ateucher
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ateucher commented Nov 18, 2016

A couple of notes on the draft new GEOSJON standard:

  1. With regards to CRS, there is this:

    However, where all involved parties have a prior arrangement, alternative coordinate reference systems can be used without risk of data being misinterpreted.

    So there may be cases where converting to WGS84 is not desirable by the user. I think there are two options:

    1. Add an argument (which would have to be added to all methods) convert_wgs84with a default of TRUE, to allow user to override. OR
    2. Proceed with the conversion regardless of CRS and throw a warning if it's not WGS84.
  2. With regards to Z (elevation):

    Altitude or elevation MAY be included as an optional third element.

    So we CAN keep Z in coordinates, but not M.

Current approach: detect non-wgs84 (epsg:4326) and transform. Don't include crs member
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@sckott any thoughts on number 1 above?

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sckott commented Nov 21, 2016

@ateucher Seems like since WGS84 is the standard for geojson we could just convert it to that, but letting the user toggle that will make more people happy perhaps?

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Thanks @sckott that works for me. Selfishly, I want to be able to bypass transformation to use in rmapshaper

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sckott commented Nov 21, 2016

@ateucher wait, which one works?

@ateucher
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ateucher commented Jan 8, 2017

@sckott I think this is ready for merge (or further review/testing by other eyes). It's passing on my fork, failing here with the map_gist tests.

I omitted dealing with non-epsg:4326 CRS until we decide to do it package-wide - didn't seem right to implement it only in these methods...

@ateucher
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ateucher commented Jan 8, 2017

Just playing with Travis...

@sckott
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sckott commented Jan 8, 2017

i think its failing cause GITHUB_PAT is not avail on PR's, so if its just those tests failing all is good

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sckott commented Jan 8, 2017

that makes sense to implement converting pkg wide later

@sckott
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sckott commented Jan 8, 2017

Thanks for the tests!

Can you add some examples though for the different sf classes for both files

@ateucher
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ateucher commented Jan 8, 2017

Oh right, examples. Yep, will do.

Re Travis failing, I figured that it was GITHIB_PAT.

@ateucher
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@sckott I think this is good to go now. I added examples (hopefully they're enough), and methods for geojson_write.

@sckott
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sckott commented Jan 11, 2017

Sweet, will look in morning

@sckott
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sckott commented Jan 11, 2017

LGTM

nice work sir @ateucher

@sckott sckott merged commit e35e654 into ropensci:master Jan 11, 2017
@ateucher
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Woot! Thanks :)

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3 participants