Mapping the world with Python. Buy my book here - https://xitter.cf/t.co/hAaaAxtIO9

Planet Earth
Joined January 2021
Include

Only show posts containing:

Exclude

Hide posts containing:

Time range
-
Minimum likes
Replying to @milos_gis
I have essentially given up as well.
1
223
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.
2
5
29
3,547
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,
1
5
4,062
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.
3
17
78
4,957
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.
3
20
85
4,841
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
2
6
1
36
4,900
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.
1
11
3
27
30,851
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.
1
12
1
48
4,697
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.
9
22
2
107
23,314
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.
1
23
1
102
6,703
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.
1
1
21
2,783
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.
2
19
88
5,993
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.
2
13
2
69
5,461
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
20
2
90
7,330
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…
1
18
1
93
6,366
Replying to @Nikki_Bea_
Lots of evidence that mars had water in the past but no evidence of grass
4
1
52
1,757
Got to have your critics I guess
1
7
2,910
Replying to @TheWarmChills
There’s actually no grass on mars
3
15
1,599
No AI was used in the generation of this map
52
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.
17
23
9
1,817
60,643