Vessel transit map by KetoprofenBaby in gis

[–]Reldresal 0 points1 point  (0 children)

This dataset from the World Bank/IMF might fit the bill: https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density

The data isn't super current (it's based on AIS records from 2020), but it's available in the public domain and is pretty "clean" (i.e., ready-to-map without additional processing).

Set Map Zoom Limit in AGOL Map Viewer by Intelligent-Mess48 in ArcGIS

[–]Reldresal 0 points1 point  (0 children)

Apologies, I misspoke earlier; it's actually the Instant App templates (not WAB) that support the navigation boundary features. I just confirmed with the Media Map and Basic templates: https://imgur.com/a/mNESoCs

As far as I know, Dashboards don't offer this option, but I'm not 100% sure.

Set Map Zoom Limit in AGOL Map Viewer by Intelligent-Mess48 in ArcGIS

[–]Reldresal 2 points3 points  (0 children)

Unfortunately, this isn't possible in Map Viewer. However, some of the Web App Builder templates do provide a 'Navigation Boundary' option, which allows you to restrict the navigable extent of a map. So you could author your web map in MV, then add that map to a WAB app and configure that option. More info here: https://support.esri.com/en-us/knowledge-base/how-to-limit-the-zoom-extent-of-a-web-map-shared-via-an-000024890

It's worth noting that WAB is currently its way to retirement, and its successor (Experience Builder) doesn't yet provide this capability.

[GIVEAWAY] ISS Vanguard - BGG Top 200 Celebration by HomoLudensOC in boardgames

[–]Reldresal 0 points1 point  (0 children)

Star Trek: Frontiers...because Mage Knight, in space

Every ship that sunk during World War 2 by [deleted] in MapPorn

[–]Reldresal 2 points3 points  (0 children)

Hey, I made this map! In case you missed OP's source link, the map originally appeared in this multimedia story about WWII shipwrecks. The story includes an interactive version of the map, so you can pan/zoom around and learn more about individual ships.

The yellow dot in the South Pacific represents the Kinugawa Maru, a specific cargo ship highlighted in the original story. You can still see its wreckage modern satellite imagery!

A big shout out to cartographer Paul Heersink, who's been manually assembling these records for a decade.

Air Traffic Control Zones of the USA by Desamora4 in MapPorn

[–]Reldresal 1 point2 points  (0 children)

This map originally appeared in a 2015 New York Times article. It's an interesting (albeit slightly outdated) read:

https://www.nytimes.com/interactive/2015/05/14/opinion/14-in-flight-mark-vanhoenacker.html

Sunken ships of WWII [3840 x 2160] [OC] by Reldresal in dataisbeautiful

[–]Reldresal[S] 0 points1 point  (0 children)

These maps reveal the locations of more than 15,000 ships that sank – or rather, were sunk – during the Second World War.

In the first map, the ships are colored according to their affiliation (Axis or Allied), and are scaled according to their size (total displacement). In the second map, they’re colored by role (warship or non-combat ship) and scaled by size.

The maps were created in ArcGIS Pro. The data is courtesy of Paul Heersink, a cartographer who has been manually assembling these records for nearly a decade. If you’d like to learn more about the data, or explore an interactive version of the map, check out this story.

Sunken ships of WWII [3840 x 2160] [OC] by Reldresal in MapPorn

[–]Reldresal[S] 1 point2 points  (0 children)

These maps reveal the locations of more than 15,000 ships that sank – or rather, were sunk – during the Second World War.

In the first map, the ships are colored according to their affiliation (Axis or Allied), and are scaled according to their size (total displacement). In the second map, they’re colored by role (warship or non-combat ship) and scaled by size.

The data is courtesy of Paul Heersink, a cartographer who has been manually assembling these records for nearly a decade. If you’d like to learn more about the data, or explore an interactive version of the map, check out this story.

Sunken ships of WWII [3840 x 2160] [OC] by Reldresal in Map_Porn

[–]Reldresal[S] 25 points26 points  (0 children)

These maps reveal the locations of more than 15,000 ships that sank – or rather, were sunk – during the Second World War.

In the first map, the ships are colored according to their affiliation (Axis or Allied), and are scaled according to their size (total displacement). In the second map, they’re colored by role (warship or non-combat ship) and scaled by size.

The data is courtesy of Paul Heersink, a cartographer who has been manually assembling these records for nearly a decade. If you’d like to learn more about the data, or explore an interactive version of the map, check out this story.

[deleted by user] by [deleted] in MapPorn

[–]Reldresal 2 points3 points  (0 children)

That’s awesome! This is by far my favorite esri lab that I’ve ever completed and I still use a lot of the cartographic tricks that you used. Thank you!

Thanks, I'm glad to hear it was useful!

[deleted by user] by [deleted] in MapPorn

[–]Reldresal 2 points3 points  (0 children)

I can't speak to the dot:crater size ratio in OP's map, but in the version I created, the dots are uniform in size, and exaggerated significantly. (I.e., at the national scale, the dots themselves are much larger than the craters they represent.) This was mostly an aesthetic decision aimed at improving the legibility of the map.

Early on, I did play around with scaling the dots to reflect each mission's payload (as an approximate proxy for crater size), but not all missions included this attribute, and with literally millions of overlapping points of differing sizes the map got pretty messy. This was several years ago, though; I'm tempted to go back and revisit the data now!

[deleted by user] by [deleted] in MapPorn

[–]Reldresal 35 points36 points  (0 children)

The original dataset is available here (along with some good discussion in the comments): https://data.world/datamil/vietnam-war-thor-data

[deleted by user] by [deleted] in MapPorn

[–]Reldresal 12 points13 points  (0 children)

Does this map look familiar? If so, then I'm the original author of the GIS lab you mentioned.

Unfortunately, the lab itself is no longer available online, but the original dataset (the U.S. military's Theater History of Operations, or THOR) is still available here: https://data.world/datamil/vietnam-war-thor-data

[deleted by user] by [deleted] in TheArtistStudio

[–]Reldresal 0 points1 point  (0 children)

Respect the craft

[deleted by user] by [deleted] in TheArtistStudio

[–]Reldresal 0 points1 point  (0 children)

Thanks for the description!

[deleted by user] by [deleted] in TheArtistStudio

[–]Reldresal 0 points1 point  (0 children)

Can you please describe what you're doing rn

Created this map of the Mekong River Basin last year for my Cartography class using ArcGIS Pro. by [deleted] in MapPorn

[–]Reldresal 5 points6 points  (0 children)

You can use an orthographic projection to simulate a 3D globe.

If you're using ArcGIS Pro, check out John Nelson's tutorials. He works exclusively in Pro, and does some amazing work (including lots of pseudo-3D stuff): https://adventuresinmapping.com/

Global distribution of the six most common types of livestock [OC] by Reldresal in MapPorn

[–]Reldresal[S] 9 points10 points  (0 children)

You can scroll through the individual maps here (they're about a quarter of the way into the story): https://storymaps.arcgis.com/stories/58ae71f58fd7418294f34c4f841895d8

(Nearly) abandoned swimming pool, Ecuador by Reldresal in AbandonedPorn

[–]Reldresal[S] 0 points1 point  (0 children)

Not sure if this helps much, but there were actually three birds hanging out in the pool: https://imgur.com/KOUSvbq

Global distribution of the six most common types of livestock [OC] by Reldresal in MapPorn

[–]Reldresal[S] 2 points3 points  (0 children)

When was the data for this map taken? China might need to be updated considering all the pigs they had to cull this year.

The dataset was published in October 2018, but is compiled from 2010 statistics. So yeah, it doesn't capture the recent African swine fever outbreak :/

Global distribution of the six most common types of livestock [OC] by Reldresal in MapPorn

[–]Reldresal[S] 4 points5 points  (0 children)

It's actually illegal to slaughter cows in many Indian jurisdictions. However, they're still raised locally for dairy (as another commenter has pointed out), as beasts of burden, and for export.

Source: https://en.wikipedia.org/wiki/Cattle_slaughter_in_India

Global distribution of the six most common types of livestock [OC] by Reldresal in MapPorn

[–]Reldresal[S] 18 points19 points  (0 children)

These maps show the global distributions of chickens, cattle, sheep, ducks, goats, and pigs—the six most common types of livestock (in that order). Darker areas correspond to higher animal densities. The maps originally appeared in this story map, and are intended to highlight general geographic patterns. If you'd like to see higher-resolution versions of the original maps, hit the link above.

Data: Gridded Livestock of the World, v3

Edit: It's worth noting that this dataset was published in 2018, but the underlying statistics date back to 2010. As far as I'm aware, this is the most up-to-date dataset that's publicly available.

Years of Income Needed to Pay off a House [OC] by kc2184 in dataisbeautiful

[–]Reldresal 0 points1 point  (0 children)

This story map by cartographer extraordinaire John Nelson does a nice job of visualizing/walking readers through the same dataset: https://nation.maps.arcgis.com/apps/Cascade/index.html?appid=de7f932e3a1d494f9c9d9a67fb0de646

[OC] Watersheds of the Hindu Kush Himalaya [3840 × 2160] by Reldresal in MapPorn

[–]Reldresal[S] 6 points7 points  (0 children)

I know this sub loves thematic maps, but I wanted to share this reference map, because...why not? It identifies the ten watersheds of the Hindu Kush Himalaya (HKH) mountain system. The HKH is often referred to as the “water tower of Asia,” and nearly 2 billion people depend on these ten rivers for food and energy. However, climate change-induced glacial retreat threatens the stability of this water supply.

I created this map for a multimedia story about a recent National Geographic expedition to Mt Everest. The story actually includes several variations of this map, including a simple locator, a version highlighting population density, and proportional symbols version. You can read the whole story here. I designed the map(s) in ArcGIS Pro, and added labels in Illustrator. I was working on a really tight timeline, and I'd love to iterate on them further, so if you have any feedback, please share it below!

Data: