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Esri

@Esri · joined 04 Sep 2008

Esri builds #ArcGIS, the leading location intelligence and spatial analytics software for mapping, 3D GIS, imagery, and geospatial app development.

188 586Followers
64 708Following
20 982Posts total
28.3KViews on collected posts

Últimas publicaciones

Satellites 🛰️ collect an enormous amount of information about our planet every day but much of it was locked behind complicated formats. Not anymore. @NASA teamed up with Esri to make that data easy to use. https://t.co/lb9MOvx6U5 https://t.co/710IDiV7n7
6.1K views · 92 likes · 23 reposts · 1 replies Open on X →
@Esri 🌴🌲🌳📌🗺️🇨🇱en #Valdivia #Chile tambien mapeamos árboles N=23519, en #OpenStreetMap natural=tree, y prácticamente una sola persona 👉 @pauldassoria https://t.co/pnabLL3Tys
81 views · 3 likes · 0 reposts · 0 replies Open on X →
Esri@Esri
Some New Yorkers count steps others count trees! 🌳 Volunteers are using ArcGIS Field Maps to help NYC Parks map over 800,000 street trees revealing how the urban canopy changes and where more shade is needed. This map shows street tree size from the 2015 count. https://t.co/dzO
6.7K views · 124 likes · 27 reposts · 1 replies Open on X →
Esri@Esri
Beneath the ocean's surface, small details can have a global impact. 🌊 Straits, ridges, and channels help control the flow of heat, oxygen, and nutrients across the globe. See how multiscale analysis in ArcGIS Pro reveals these hidden ocean connections. https://t.co/cZqJ8s5cno
4.7K views · 36 likes · 7 reposts · 0 replies Open on X →
Esri@Esri
@Esri This is exactly the kind of data we need. Temperature alone tells you nothing about actual heat stress on the human body. WBGT captures the full picture. 31 views · 1 likes · 0 reposts · 0 replies Open on X →
Esri@Esri
Global Wet Bulb Globe Temperature Baseline combines temp, humidity, wind, sun angle, and clouds to provide a 30‑year view of global heat stress, supporting safer outdoor work, heat risk planning, and nighttime cooling trends. Explore the dataset: https://t.co/iKLgZUBv6c https://t
1:00
6.5K views · 80 likes · 26 reposts · 1 replies Open on X →
Esri@Esri
Every day, millions of people travel through New York’s subway system, spanning over 400 stations and 600 miles of track!🗽🚇 This animation illustrates how travel patterns change throughout the day. 🔹Explore the story map: https://t.co/W5M55khElk https://t.co/4CRRnhz2dY
0:25
4.2K views · 30 likes · 12 reposts · 1 replies Open on X →

Frente a cuentas del mismo tamaño

7 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.

Visualizaciones medianas4 700esta cuenta4 060mediana de 100K–1M
Alcance, %2.49%esta cuenta1.59%mediana de 100K–1M
Interacción, %1.92%esta cuenta1.32%mediana de 100K–1M
MétricaEsta cuentaMediana de 100K–1MProporción
Visualizaciones medianas por publicación4 7004 0601.16×
Alcance (visualizaciones ÷ seguidores)2.49%1.59%1.57×
Tasa de interacción1.92%1.32%1.46×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

4.2K24 Aug
6.5K25 Aug
3126 Aug
4.7K27 Aug
6.7K31 Aug
811 Sep
6.1K2 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.07%24 Aug
1.67%25 Aug
3.23%26 Aug
0.91%27 Aug
2.27%31 Aug
3.70%1 Sep
1.92%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.32%.

What the audience does

Likes66.1%366 in total
Reposts17.1%95 in total
Replies0.7%4 in total
Quotes0.9%5 in total
Bookmarks15.2%84 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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