Mapping the world with Python. Buy my book here - locatepress.com/book/pymaps

Planet Earth
Based in United Kingdom
Ending 2023 with my favourite map. South American forests. See you next year!
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I might stop posting on X. I have over 30k followers, but my impressions are as low as if I had 3k. The community is long gone anyway.
I was at 300k month ago 😭
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I have essentially given up as well.
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Trying my hand at infographics. Mapping maritime choke points. Unfortunately the publicly available data used to produce this was recorded between 2015 and 2021 - Prior to the Houthis actions in the Red Sea and the war in Iran, which no doubt change this picture.
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I am excited to be representing @SynMaxInt at the #EsriUC2026. If anyone is attending and wants to discuss maps or ships, please get in touch,
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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.
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Forest Loss. This map shows forest loss since 2000 in South America. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state.
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Forest Loss. This map shows forest loss since 2000 in Asia. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state. For those who care - projection is EPSG:27703 is WGS 84 / Equi7 Asia
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Forest Loss. This map shows forest loss since 2000 in Oceania. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state.
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Forest Loss. This map shows forest loss since 2000 in North America. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state.
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Forest Loss. This map shows forest loss since 2000 in Europe. Defined as a stand-replacement disturbance, or a change from a forest to non-forest state.
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This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.
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This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.
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This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.
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This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.
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This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095. For those who care - projection is EPSG:27703 is WGS 84 / Equi7 Asia
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This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095. Inspiration came from this post from @Esri - esri.com/arcgis-blog/product…
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Dunno where the green came from. Mars is called the red planet for a reason.
Here's a map of Mars if, like Earth, it were covered by water on 71% of its surface.
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There's no water on mars either, kinda why it's a "what it would look like if it did have this"
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Lots of evidence that mars had water in the past but no evidence of grass
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Got to have your critics I guess
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There’s actually no grass on mars
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No AI was used in the generation of this map
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