آموزش پیوست کردن اطلاعات به عوارض مکانی در ArcGIS Pro در این آموزش، با ابزار Enable Attachment در ArcGIS Pro آشنا میشوید. یاد میگیرید که چگونه فایلهای مختلف مانند تصاویر، اسناد PDF، گزارشهای Word و فایلهای اکسل را مستقیماً به عوارض مکانی (نقاط، خطوط و چندضلعیها) متصل کنید. این روش، مدیریت دادههای مکانی را متحول کرده و امکان دسترسی سریع به اطلاعات تکمیلی هر عارضه را فراهم میسازد. کانال دانشیار 🎓 @Daneshiiar

Channel
دانشیار
@Daneshiiar
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
1,406subscribers
+7 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001385718463 |
|---|---|
| Type | Channel |
| Username | @Daneshiiar |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/Daneshiiar |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 16:47 | 1,406 | +2 |
| 10 Aug 2026, 06:35 | 1,404 | +5 |
| 6 Aug 2026, 22:21 | 1,399 | no change |
| 6 Aug 2026, 17:32 | 1,399 | first reading |
Engagement
20 posts held, back to 3 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 26.0%
- avg views ÷ 1,406 subscribers
- Avg views / post
- 365
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 30 July 2026 |
|---|---|
| Posts held | 20 (3 November 2025 – 30 July 2026) |
| Views total | 365 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 17:32 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Recent posts
آموزش طبقهبندی کاربری اراضی با استفاده از Deep Learning در ArcGIS Pro در این آموزش، با یکی از قابلیتهای جدید و کاربردی ArcGIS Pro و همچنین نکات کمتر شناختهشده آن آشنا خواهید شد. در این روش، بدون نیاز به کدنویسی، میتوانید از تواناییهای هوش مصنوعی برای طبقهبندی تصاویر و تهیه نقشه کاربری اراضی استفاده کنید؛ رویکردی نو که انجام پروژههای مبتنی بر Deep Learning را برای همه کاربران سادهتر و در دسترستر میکند. کا…
مدیریت مؤثر سرزمین (Land Administration) بهشدت وابسته به چارچوب یکپارچه اطلاعات مکانی (IGIF) است و در عمل، اجرای آن بدون زیرساختهای IGIF امکانپذیر یا پایدار نیست. کانال دانشیار 🎓 @Daneshiiar
کدام محصول سنجش از دور، برای تهیه نقشه کاربری اراضی بهتر است؟ کانال دانشیار 🎓 @Daneshiiar
کدام محصول سنجش از دور، برای تهیه نقشه کاربری اراضی بهتر است؟ کانال دانشیار 🎓 @Daneshiiar
How to Write and Publish a Scientific Paper کانال دانشیار 🎓 @Daneshiiar
راهنمای انتخاب مدل Semivariogram در Ordinary Kriging کانال دانشیار 🎓 @Daneshiiar
تحلیل تطبیقی روشهای کریجینگ در محیط Geostatistical Wizard نرمافزار ArcGIS Pro کانال دانشیار 🎓 @Daneshiiar
رونمایی از جامعترین بانک دادههای GIS و اقلیمی ایران؛ هدیهای به جامعه علمی⚡ با افتخار اعلام میکنیم که پس از ماهها تلاش مستمر و گردهمآوری دادههای دقیق، بزرگترین مرجع رایگان دادههای اقلیمی بلندمدت و فایلهای GIS ایران اکنون در دسترس شماست. این مجموعه شامل لایههای متنوع سنجش از دور و شیپفایلهای استانی است که با هدف حمایت از پژوهشگران و متخصصان، به صورت کاملاً رایگان ارائه میشود. این بانک داده، حاصل تعهد م…
تکنولوژی HP SitePrint چیست و چه کاربردی دارد؟ تکنولوژی HP SitePrint یک راهکار چاپ هوشمند برای پروژههای ساختمانی و عمرانی است که نقشهها و طرحها را با مقیاس دقیق (۱:۱) مستقیماً روی زمین یا سطوح بزرگ چاپ (جانمایی) میکند. نحوه کار HP SitePrint: ۱- فایل نقشه دیجیتال وارد سیستم میشود. ۲- دستگاه با کمک اسکن و کالیبراسیون، موقعیت دقیق محیط را تشخیص میدهد. ۳-نقشه بدون خطای انسانی، دقیقاً در محل موردنظر چاپ میشود. …
کاربرد Arcade و نحوه اسکریپت نویسی در ArcGIS Pro کانال دانشیار 🎓 @Daneshiiar
انجمن علمی محیط زیست دانشگاه ملایر با همکاری جمعی از انجمن های برتر دانشگاه ملایر برگزار میکند : 📝رویداد جامع مقالهنویسی علمی📝 اگر به پژوهش علاقهمندی و دوست داری مسیر نگارش، انتخاب مجله و ارسال مقاله علمی رو اصولی یاد بگیری، این رویداد مخصوص توئه... در این رویداد سهجلسهای، از مبانی مقالهنویسی تا مکاتبه حرفهای با مجلات علمی، قدمبهقدم همراه شما هستیم. 📚 ویژه دانشجویان و علاقهمندان به پژوهش 🧑🏫 مدرس: دکتر س…
Showing the 12 most recent of 20 posts we hold for @Daneshiiar. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 210,561 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@Daneshiiar named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“دانشیار” (@Daneshiiar), 1,406 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Daneshiiar.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.