#rnaturalearth

Live, measured metrics for the hashtag #rnaturalearth from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #rnaturalearth

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$5.00/ year · 13-character #name
Claim #rnaturalearth — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
2.3
Avg reactions / post
Mastodon · last 9
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-22 10:13 UTC
0
10-16
0
10-17
0
10-18
0
10-19
0
10-20
0
10-21
0
10-22

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-22 10:13 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-22 10:13 UTC

Everything below is measured over the latest 9 public posts (spanning ~12925 hours).

Top of the latest posts

  • Just released #rnaturalearth v1.1.0 for #rstats. https://github.com/ropensci/rnaturalearth/releases/tag/v1.1.0 - Download data directly using GDAL’s virtual file system – no extraction needed! - Move to modern GeoPackage format when load =

    Philippe Massicotte@philmassicotte♥ 14↻ 92025-07-30 11:18 UTCView post →
  • #Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.

    Hondunauta@klauswiese♥ 2↻ 12026-04-06 11:20 UTCView post →
  • Día 11 | Distribuciones – “Stripes” | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes: #ggplot2, #dplyr, #sf, #lubridate, #ggtext, #showtext, #RcolorBrewer, #rnaturalearth y #cowplot. Fuente: CHIRPS.

    Hondunauta@klauswiese♥ 2↻ 02025-04-11 14:54 UTCView post →

#rnaturalearth across platforms

every network with a public tag surface

Follow #rnaturalearth straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/rnaturalearth