Python Maps @PythonMaps
Mapping the world with Python. Buy my book here - https://t.co/hAaaAxtIO9 pythonmaps.com Planet Earth Joined January 2021-
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@milos_gis 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.
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,
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 South America. 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 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
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.
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.
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.
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.
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.
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.
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.
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
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/pr…
@Nikki_Bea_ Lots of evidence that mars had water in the past but no evidence of grass
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.
Got to have your critics I guess
@TheWarmChills There’s actually no grass on mars
@Pete_Riot @aji_priyatmoko No AI was used in the generation of this map
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