More from Musings on Maps
Malcolm Margolin was the coolest people I knew. If we can’t be hugely saddened by his passing, and the loss of his dynamic presence in the East Bay, he’ll be a model for persisting a vision quest in a dark … Continue reading →
Donald Trump has so skillfully adopted terms and coopted concepts by slapping his name on them to rebrand them as his own, in ways we may do well to question if this is entirely impulsively done. From CPAC to the … Continue reading →
“I am looking at the whole Gaza Strip right now,” President Trump told Jordan’s Abdullah II, “and it’s a mess. It’s a real mess.” Trump seemed not to consider the scale of American arms’ involvement in its destruction, but to … Continue reading →
There is plenty of blame going round this election cycle on the Democratic Party for having given material assistance–if not tacitly supported–the bombing Palestinian inhabitants and settlements in Gaza by Israeli Defense Forces. The drumbeat of disquiet about the Democratic … Continue reading →
More in cartography
Adding a hillshade terrain to your basemap can give the map reader incredible amounts of information about the surface of the earth. But it’s also a mechanism for adding visual charm and interest to a map! With emotional resonance and technical merit bound up together in such a way, how can you possibly resist that …
As I often mock the AI-slop maps that I see on X (“Twitter”), my account has apparently responded by sending even more garbage my way. One example recently caught my attention as perhaps the worst map that I had ever seen. Then, several days later, I encountered something even worse. The first map, from the […] The post Is This the Worst Map in Current Circulation? No, It Is This One! appeared first on GeoCurrents.
Bert Spaan has taken Mapterhorn's global terrain data to create an interactive global Relief map. What is particularly interesting about this new map is that, unlike traditional topographic maps with a fixed colour-to-elevation scale, the map's colour spectrum adapts dynamically to the specific region or bounds currently in view. As you pan and zoom across different landscapes, the colour grading shifts to highlight local topographic variations, producing a striking and constantly changing view of the world's mountains, valleys and plains. This works particularly well when switching between very different environments: the colour range changes to bring out the relief at the scale you're viewing, rather than leaving low-lying terrain looking uniformly flat. A number of controls allow you to adjust how the elevation data is visualized. You can switch between absolute and visible elevation ranges, lock the current colour range, reverse the colours, animate the colours, and cycle through different ways of handling elevation outliers. You can also turn on hillshading, contours, labels and country borders, or switch to a 3D terrain view. Relief also includes a Seafloor option, which extends the elevation map beneath the oceans using GEBCO bathymetry. The result is a continuous view of the Earth's topography, from the deepest ocean trenches to the highest mountain peaks. At its core Relief is a WebGL-powered visualization of Mapterhorn's global elevation data that allows you to explore global topography at different resolutions and levels of detail. To see some of the most beautiful highlights of this data click on the 'Explore' button in the map's menu bar. Read the original article at ${post.title} on ${blog.title}. Enjoyed this post? Follow @mapsmania on Bluesky.
I would like to direct my readers’ attention to a new Substack publication by Pete Morris called Terra Cognita. Pete is a frequent GeoCurrents commentor and an insightful geographer. His introductory article in Terra Cognita is an excellent overview of the recent history of academic geography in the United States. And as can be seen […] The post Recommending Terra Cognita, a New Geographical Substack Publication appeared first on GeoCurrents.
It’s finally time for me to write something about generative AI. While I’ve made occasional comments on social media, I haven’t spoken in any detail. I touched on some colleagues’ genAI work in a recent blog post, but my focus wasn’t really on genAI itself — it was how and where its products were shared. … Continue reading GenAI for the Static Cartographer →