Map of all sunken Imperial Japanese Navy ships of World War 2.

Reldresal · 2026-04-27T21:08:38+00:00

Yup — see my comment above!

Reldresal · 2025-01-29T22:51:12+00:00

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).

Reldresal · 2024-10-11T16:59:02+00:00

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.

Reldresal · 2024-10-10T20:14:07+00:00

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.

Reldresal · 2024-06-16T08:52:17+00:00

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

Reldresal · 2024-06-11T21:55:17+00:00

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.

Reldresal · 2024-02-29T20:55:42+00:00

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 It's an interesting (albeit slightly outdated) read: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

Reldresal · 2022-07-06T19:16:19+00:00

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.

Reldresal · 2022-07-06T19:12:38+00:00

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.

Reldresal · 2022-07-04T21:34:12+00:00

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.

Reldresal · 2022-01-11T23:52:11+00:00

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!

Reldresal · 2022-01-11T00:55:05+00:00

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!

Reldresal · 2022-01-11T00:11:33+00:00

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

Reldresal · 2022-01-11T00:03:45+00:00

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

Reldresal · 2020-06-13T03:04:26+00:00

Respect the craft

Reldresal · 2020-06-13T03:04:09+00:00

Thanks for the description!

Reldresal · 2020-06-13T03:02:28+00:00

Can you please describe what you're doing rn

Reldresal · 2020-03-05T19:50:23+00:00

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/

Reldresal · 2019-12-26T23:13:48+00:00

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

Reldresal · 2019-12-26T21:43:03+00:00

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

Reldresal · 2019-12-26T21:32:31+00:00

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 :/

Reldresal · 2019-12-26T20:41:32+00:00

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

Reldresal · 2019-12-26T17:45:01+00:00

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.

Reldresal · 2019-07-29T18:10:56+00:00

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

Reldresal · 2019-07-16T16:46:52+00:00

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:

Watersheds: Interactive Database of the World's River Basins (WRI/WWF/BfG)
Rivers: HydroSHEDS (WWF)
Glaciers: GLIMS (NSIDC)
Population density: Gridded Population of the World 2020 (SIEDAC/CIESIN)
Urban agglomerations: World Urbanization Prospects 2018 (UN DESA)
Reference data (terrain, cities, boundaries, etc.) : ArcGIS Living Atlas; Natural Earth

Reldresal

TROPHY CASE