Advertisement · 728 × 90

Posts by PythonMaps

Ultimately, I am not a geographer so this may all be wrong but I do enjoy making textbook grade visuals.

1 day ago 1 0 0 0
Post image

Finally. Showing the age of oceanic crust alongside volcanoes in East Asia shows the subduction boundary where the oceanic Pacific Plate and Philippine Sea Plate subduct (dive) beneath the continental Eurasian Plate.

1 day ago 1 0 1 0
Post image

Pacific centred

1 day ago 0 0 1 0
Post image

What about volcanoes?

1 day ago 0 0 1 0
Post image

Pacific centred

1 day ago 0 0 1 0
Post image

Overlaying earthquakes locations maps the plate boundaries.

1 day ago 1 1 1 0
Post image

Pacific centred for those not in Europe

1 day ago 1 0 1 0
Post image

The age of oceanic crust is a nice map of the world's divergent plate boundaries. As the plates move apart, magma rises from the mantle, creating new crust.

1 day ago 1 0 1 0
Advertisement
Post image

Plate Tectonics. A thread

1 day ago 7 1 1 0
Post image

Claude did 95% of the work on this. I've been resistant to the AI hype but it does certainly have its uses. Here is a map showing the status of the death penalty around the world

2 months ago 2 1 1 0
Post image

Made a roads map for another project. Thought I would share.

2 months ago 6 2 0 0

The overlapping colors reveal where different forest biomes meet across the planet.
Built with Python (GeoPandas, Rasterio, Matplotlib)
Data: Hansen et al. Science 2013 4/4

3 months ago 1 0 0 0

Assigned distinct colormaps: Blues (boreal), Oranges (temperate), PuRd (subtropical), Greens (tropical)
Overlaid all four masked layers to show global forest distribution by climate type 3/4

3 months ago 1 0 1 0

How it was made:

Started with Hansen et al. global forest cover raster (% tree cover per pixel)
Loaded climate zone shapefile with boreal, temperate, subtropical & tropical regions
Masked the forest raster with each climate zone to extract forest cover for that zone only 2/4

3 months ago 0 0 1 0
Post image

I created a global forest map showing how forests vary by climate zone - Added twist, 90% of the code + the following post was generated by Claude. 1/4
#Python #GIS #DataViz #Cartography #Forests

3 months ago 9 1 1 0
Post image

Day 26 of the #30DayMapChallenge - Transport - Shipping Lanes.

4 months ago 18 4 0 0
Post image

Running a little bit behind.
Day 25 of the #30DayMapChallenge - Hexagons - I have used the @KonturInc population density hexagons to generate this population density map of Southern Asia

4 months ago 11 2 0 0
Advertisement
Post image

Day 24 of the #30DayMapChallenge - Places and their names - Here are the World's rivers with labels on some of the major ones.

4 months ago 8 0 1 0
Post image

Day 23 of the #30DayMapChallenge - Process - "Show how you make a map" - Well luckily, there is an entire book dedicated to how I make maps - get yours now locatepress.com/book/pymaps

4 months ago 7 0 0 0
Post image

Day 22 of the #30DayMapChallenge - Natural Earth Data. I used the Ocean Bottom layer to make a Bathymetry map of Northern Europe.

4 months ago 31 5 0 0
Post image

Day 21 of the #30DayMapChallenge - Icons - Use icons to highlight points of interest. Here are lighthouses of the Caribbean and Gulf of America. I used a few tricks to make the points look like they are shining out to sea.

4 months ago 2 0 0 0
Post image

Day 20 of the #30DayMapChallenge - Water - Rivers of South America

4 months ago 13 0 0 0
Post image Post image Post image Post image

Day 19 of the #30DayMapChallenge - Projections. Here are maps showing tropical storms using a number of different projections. We have the South Polar Stereo, the Robinson, the Lambert Conformal and finally I have included a shipping lanes map using the infamous Spilhaus projection.

4 months ago 11 1 1 0
Post image

Day 18 of the #30DayMapChallenge - Out of this World. Here is a topographical map of Mars. I have added some hill shading and used a colourmap that simulates an ocean, proportionally equal in size to Earths.

4 months ago 10 1 0 0
Post image

Day 17 of the #30DayMapChallenge - New tool. It has been on my radar for a while so I tried out datashader to visualise population density. These maps usually take minutes to render but with datashader it takes seconds.

4 months ago 7 0 0 0
Post image

Day 16 of the #30DayMapChallenge - Cell - Here is a map of Cell tower density in Europe. Clearly this is just a population density map but gotta follow the theme.

4 months ago 14 2 0 0
Advertisement
Post image

Day 15 of the #30DayMapChallenge - Fire. Wildfire map. Data aggregated for all of 2024.

4 months ago 6 1 0 0
Post image

Day 14 of the #30DayMapChallenge Open Street Map - Railways.

4 months ago 3 0 0 0
Post image

Day 13 of the #30DayMapChallenge — 10-minute map.
Once I’ve made a particular type of map once, I can usually recreate it in about 10 minutes. This one’s a bivariate map — the style that probably took me the longest to learn the first time around. Rainfall vs Temperature in South America

4 months ago 14 0 0 0
Post image

Day 12 of the #30DayMapChallenge - Map from 2125 - I think Northern Ireland and the Republic of Ireland could merge into a new country. So here is a topography map.

4 months ago 12 2 0 0