PythonMaps
banner
pythonmaps.bsky.social
PythonMaps
@pythonmaps.bsky.social
990 followers 5 following 94 posts
Mapping the world with Python. Geospatial data scientist who likes maps. Contact [email protected]
Posts Media Videos Starter Packs
Day three of the #30DayMapChallenge - Polygons. This map shows the earths tectonic plates. I have overlayed all of the earthquakes with a magnitude greater than 4.0 over the last 20 years, coloured according to their magnitude (blue (smallest) - red (largest).
Day 2 of the #30DayMapChallenge - Lines. This map shows the rivers of Africa, coloured according to the minimum river temperature.
Day one of the #30DayMapChallenge - Points. These maps show lighthouses of the British Isles, the Aegean Sea and Italy. I have tried to simulate how they would shine and cast light out to sea.
Croplands. This map shows the croplands of East Asia. Using my new favourite colourmap.
Data - www.nature.com/articles/s43...
Soil moisture. Data comes from the TerraClimate project.
Is my choice of colourmap appropriate? No.
Do I care? No.
Do I just like making pretty pictures? Yes
Evapaotranspiration. Data comes from the TerraClimate project.
Wildfires. Data aggregated for all of 2024.
Aridity of Oceania. Aridity is usually expressed as a generalized function of precipitation, temperature and reference evapo-transpiration. Higher values represent more humid conditions and lower values represent higher aridity.
Religions of the world coloured by majority religious affiliation. Deeper colours denote greater percentage of people practicing the corresponding religion.
As a side note. I am loving these new(er) matplotlib cmaps. This one is called managua
Aridity of North America. Aridity is usually expressed as a generalized function of precipitation, temperature and reference evapo-transpiration. Higher values represent more humid conditions and lower values represent higher aridity. Data from csidotinfo.wordpress.com/2019/01/24/g...
Bathymetry of the Gulf of America, the Caribbean and parts of the Atlantic and Pacific.
This is a bivariate map showing rainfall vs temperature.
Few people realise the scale of the Himalayas because static maps are a bad way to convey topography. Fortunately, we can use interactive maps to explore topography. Here is an example using Pyvista.
Here is an old favourite. Shipping lanes. This time drawn using the Spilhaus projection, which centers the map on Antartica and presents the worlds oceans as one continuous body. Athelstan F. Spilhaus, a South African-American geophysicist and oceanographer in 1942
I have combined two datasets for fun. Here are the world's shipping lanes (red) and the worlds flight paths (white) on the same map.
Expermineting with different datasets. Plotting a topography map, with contour lines on top creates a really cool hillshading effect. Couple that with rivers and you are getting close to a OS map, all in Python
Forest Loss. This map shows forest loss since 2000 in Africa. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state.
Forest Loss. This map shows forest loss since 2000 in Brazil. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state.