R client for Pleiades

Pleiades info

Pleiades gives scholars, students, and enthusiasts worldwide the ability to use, create, and share historical geographic information about the ancient world in digital form. At present, Pleiades has extensive coverage for the Greek and Roman world, and is expanding into Ancient Near Eastern, Byzantine, Celtic, and Early Medieval geography.

Install

More stable CRAN version

install.packages("pleiades")

Dev version

devtools::install_github("ropensci/pleiades")
library("pleiades")

Places

pl_places uses the Pleiades API. Just a subst of output for brevity

pl_places(place_id = 579885)[1:2]
#> $features
#> list()
#> 
#> $contributors
#> $contributors[[1]]
#> $contributors[[1]]$username
#> [1] "pmotylewicz"
#> 
#> $contributors[[1]]$homepage
#> NULL
#> 
#> $contributors[[1]]$name
#> [1] "Pierre Motylewicz"
#> 
#> $contributors[[1]]$uri
#> [1] "https://pleiades.stoa.org/author/pmotylewicz"
#> 
#> 
#> $contributors[[2]]
#> $contributors[[2]]$username
#> [1] "sgillies"
#> 
#> $contributors[[2]]$homepage
#> NULL
#> 
#> $contributors[[2]]$name
#> [1] "Sean Gillies"
#> 
#> $contributors[[2]]$uri
#> [1] "https://pleiades.stoa.org/author/sgillies"
#> 
#> 
#> $contributors[[3]]
#> $contributors[[3]]$username
#> [1] "jahlfeldt"
#> 
#> $contributors[[3]]$homepage
#> NULL
#> 
#> $contributors[[3]]$name
#> [1] "Johan Åhlfeldt"
#> 
#> $contributors[[3]]$uri
#> [1] "https://pleiades.stoa.org/author/jahlfeldt"
#> 
#> 
#> $contributors[[4]]
#> $contributors[[4]]$username
#> NULL
#> 
#> $contributors[[4]]$name
#> [1] "Chelsea Lee"
#> 
#> 
#> $contributors[[5]]
#> $contributors[[5]]$username
#> [1] "alecpm"
#> 
#> $contributors[[5]]$homepage
#> NULL
#> 
#> $contributors[[5]]$name
#> [1] "Alec Mitchell"
#> 
#> $contributors[[5]]$uri
#> [1] "https://pleiades.stoa.org/author/alecpm"
#> 
#> 
#> $contributors[[6]]
#> $contributors[[6]]$username
#> [1] "jbecker"
#> 
#> $contributors[[6]]$homepage
#> NULL
#> 
#> $contributors[[6]]$name
#> [1] "Jeffrey Becker"
#> 
#> $contributors[[6]]$uri
#> [1] "https://pleiades.stoa.org/author/jbecker"
#> 
#> 
#> $contributors[[7]]
#> $contributors[[7]]$username
#> [1] "arabinowitz"
#> 
#> $contributors[[7]]$homepage
#> NULL
#> 
#> $contributors[[7]]$name
#> [1] "Adam Rabinowitz"
#> 
#> $contributors[[7]]$uri
#> [1] "https://pleiades.stoa.org/author/arabinowitz"
#> 
#> 
#> $contributors[[8]]
#> $contributors[[8]]$username
#> [1] "thomase"
#> 
#> $contributors[[8]]$homepage
#> NULL
#> 
#> $contributors[[8]]$name
#> [1] "Tom Elliott"
#> 
#> $contributors[[8]]$uri
#> [1] "https://pleiades.stoa.org/author/thomase"
#> 
#> 
#> $contributors[[9]]
#> $contributors[[9]]$username
#> NULL
#> 
#> $contributors[[9]]$name
#> [1] "DARMC"
#> 
#> 
#> $contributors[[10]]
#> $contributors[[10]]$username
#> [1] "rbrowning"
#> 
#> $contributors[[10]]$homepage
#> NULL
#> 
#> $contributors[[10]]$name
#> [1] "Rachaelle L Browning"
#> 
#> $contributors[[10]]$uri
#> [1] "https://pleiades.stoa.org/author/rbrowning"
#> 
#> 
#> $contributors[[11]]
#> $contributors[[11]]$username
#> NULL
#> 
#> $contributors[[11]]$name
#> [1] "April Kissinger"
#> 
#> 
#> $contributors[[12]]
#> $contributors[[12]]$username
#> NULL
#> 
#> $contributors[[12]]$name
#> [1] "Eric Shea"
#> 
#> 
#> $contributors[[13]]
#> $contributors[[13]]$username
#> NULL
#> 
#> $contributors[[13]]$name
#> [1] "R. Talbert"
#> 
#> 
#> $contributors[[14]]
#> $contributors[[14]]$username
#> [1] "rmhorne"
#> 
#> $contributors[[14]]$homepage
#> NULL
#> 
#> $contributors[[14]]$name
#> [1] "Ryan Horne"
#> 
#> $contributors[[14]]$uri
#> [1] "https://pleiades.stoa.org/author/rmhorne"
#> 
#> 
#> $contributors[[15]]
#> $contributors[[15]]$username
#> [1] "swright"
#> 
#> $contributors[[15]]$homepage
#> NULL
#> 
#> $contributors[[15]]$name
#> [1] "Sterling Wright"
#> 
#> $contributors[[15]]$uri
#> [1] "https://pleiades.stoa.org/author/swright"

Search bulk files locally

Pleiades nicely provides their bulk data (for locations, names, and places) in various formats, including .csv. We’ve created three functions pl_search_loc(), pl_search_names(), and pl_search_places() to search each of those datasets. As these are relatively large (approx 40K rows by 30 columns), dplyr is a nice approach to dealing with big-ish data. At this time dplyr is a dependency.

You can run pl_cache() first to get the raw data files from Pleiades

Or, that function is run internally in pl_search*() functions for you.

Search across all tables in one database, or separately locations, names, or places. You can return the data (that is, a dplyr representation of the data) if you don’t pass anything to the function call:

Gives each table in a list

pl_search()
#> [[1]]
#> # Source:   table<locations> [?? x 25]
#> # Database: sqlite 3.11.1
#> #   [/Users/sacmac/Library/Caches/pleiades/pleiades_all.sqlite3]
#>                                                     authors
#>                                                       <chr>
#>  1                                               Becker, J.
#>  2                                               Becker, J.
#>  3         Spann, P., D. R. Talbert, T. Elliott, S. Gillies
#>  4 Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  5         Spann, P., D. R. Talbert, T. Elliott, S. Gillies
#>  6         Spann, P., D. R. Talbert, T. Elliott, S. Gillies
#>  7         Spann, P., D. R. Talbert, T. Elliott, S. Gillies
#>  8         Spann, P., D. R. Talbert, T. Elliott, S. Gillies
#>  9                                   Becker, J., T. Elliott
#> 10         Spann, P., D. R. Talbert, T. Elliott, S. Gillies
#> # ... with more rows, and 24 more variables: bbox <chr>, created <chr>,
#> #   creators <chr>, currentVersion <int>, description <chr>,
#> #   featureType <chr>, geometry <chr>, id <chr>, locationPrecision <chr>,
#> #   locationType <chr>, maxDate <int>, minDate <int>, modified <chr>,
#> #   path <chr>, pid <chr>, reprLat <dbl>, reprLatLong <chr>,
#> #   reprLong <dbl>, tags <chr>, timePeriods <chr>, timePeriodsKeys <chr>,
#> #   timePeriodsRange <chr>, title <chr>, uid <chr>
#> 
#> [[2]]
#> # Source:   table<names> [?? x 26]
#> # Database: sqlite 3.11.1
#> #   [/Users/sacmac/Library/Caches/pleiades/pleiades_all.sqlite3]
#>                                                                authors
#>                                                                  <chr>
#>  1            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  2            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  3            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  4                                                          Becker, J.
#>  5 Spann, P., R. Warner, R. Talbert, S. Gillies, T. Elliott, J. Becker
#>  6            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  7            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  8            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  9                                                          Becker, J.
#> 10            Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#> # ... with more rows, and 25 more variables: bbox <chr>, created <chr>,
#> #   creators <chr>, currentVersion <int>, description <chr>, extent <chr>,
#> #   id <chr>, locationPrecision <chr>, maxDate <int>, minDate <int>,
#> #   modified <chr>, nameAttested <chr>, nameLanguage <chr>,
#> #   nameTransliterated <chr>, path <chr>, pid <chr>, reprLat <dbl>,
#> #   reprLatLong <chr>, reprLong <dbl>, tags <chr>, timePeriods <chr>,
#> #   timePeriodsKeys <chr>, timePeriodsRange <chr>, title <chr>, uid <chr>
#> 
#> [[3]]
#> # Source:   table<places> [?? x 26]
#> # Database: sqlite 3.11.1
#> #   [/Users/sacmac/Library/Caches/pleiades/pleiades_all.sqlite3]
#>                                                                       authors
#>                                                                         <chr>
#>  1                                                     Becker, J., T. Elliott
#>  2                                                     Becker, J., T. Elliott
#>  3 Spann, P., DARMC, R. Talbert, S. Gillies, R. Warner, J. Becker, T. Elliott
#>  4        Spann, P., R. Warner, R. Talbert, S. Gillies, T. Elliott, J. Becker
#>  5                   Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  6 Spann, P., DARMC, R. Talbert, R. Warner, J. Becker, S. Gillies, T. Elliott
#>  7                   Spann, P., R. Warner, R. Talbert, T. Elliott, S. Gillies
#>  8 Spann, P., DARMC, R. Talbert, R. Warner, J. Becker, S. Gillies, T. Elliott
#>  9        Spann, P., R. Warner, R. Talbert, S. Gillies, T. Elliott, J. Becker
#> 10 Spann, P., DARMC, R. Talbert, J. Becker, R. Warner, S. Gillies, T. Elliott
#> # ... with more rows, and 25 more variables: bbox <chr>,
#> #   connectsWith <chr>, created <chr>, creators <chr>,
#> #   currentVersion <int>, description <chr>, extent <chr>,
#> #   featureTypes <chr>, geoContext <chr>, hasConnectionsWith <chr>,
#> #   id <dbl>, locationPrecision <chr>, maxDate <int>, minDate <int>,
#> #   modified <chr>, path <chr>, reprLat <dbl>, reprLatLong <chr>,
#> #   reprLong <dbl>, tags <chr>, timePeriods <chr>, timePeriodsKeys <chr>,
#> #   timePeriodsRange <chr>, title <chr>, uid <chr>

Locations only

Or you can submit a query:

Search names

Search places

Create geojson map on Github Gists

res <- pl_places(place_id = 462471)
pl_gist(res)

Which opens up the gist in your default browser, as long as browse=TRUE (default).

thing

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