Python Maps

@PythonMaps

Mapping the world with Python. Contact [email protected] Buy my book here - https://locatepress.com/book/pymaps

Science & Technology

Planet Earth

pythonmaps.com

1월 2021에 가입

2K게시물 77K팔로워 576팔로우 중

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@helenmakesmaps

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@StaridasGeo

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@OurRadiantEarth

고정된 트윗

Python Maps

2023. 12. 31.

Ending 2023 with my favourite map. South American forests. See you next year!

PythonMaps's tweet image. Ending 2023 with my favourite map. South American forests. See you next year!

Python Maps

. 10. 2.

Croplands. This map shows the croplands of East Asia. Using my new favourite colourmap. Data - nature.com/articles/s4301…

PythonMaps's tweet image. Croplands. This map shows the croplands of East Asia. Using my new favourite colourmap.
Data - nature.com/articles/s4301…

Python Maps

. 10. 1.

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

PythonMaps's tweet image. 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

Python Maps

. 9. 27.

Evapaotranspiration. Data comes from the TerraClimate project.

PythonMaps's tweet image. Evapaotranspiration. Data comes from the TerraClimate project.

Python Maps 님이 재게시함

Eric Anderson

. 9. 2.

I'm hand picking a team to join SynMax and work on a key project which I believe represents the future of data science. I'm looking for the brightest and most talented developers, data scientists and engineers. Bill Perkins likes to call them 'Killers', Brendan calls them…

Python Maps

. 8. 28.

Wildfires. Data aggregated for all of 2024.

PythonMaps's tweet image. Wildfires. Data aggregated for all of 2024.

Python Maps

. 8. 24.

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.

PythonMaps's tweet image. 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.

Python Maps

. 8. 20.

Religions of the world coloured by majority religious affiliation. Deeper colours denote greater percentage of people practicing the corresponding religion.

PythonMaps's tweet image. Religions of the world coloured by majority religious affiliation. Deeper colours denote greater percentage of people practicing the corresponding religion.

Python Maps

. 8. 18.

Bathymetry of the Gulf of America, the Caribbean and parts of the Atlantic and Pacific.

PythonMaps's tweet image. Bathymetry of the Gulf of America, the Caribbean and parts of the Atlantic and Pacific.

Python Maps

. 8. 12.

This is a bivariate map showing rainfall vs temperature.

PythonMaps's tweet image. This is a bivariate map showing rainfall vs temperature.

Python Maps

. 7. 14.

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. Created by Athelstan F. Spilhaus, a South African-American geophysicist and oceanographer in 1942

PythonMaps's tweet image. 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. Created by Athelstan F. Spilhaus, a South African-American geophysicist and oceanographer in 1942

Python Maps 님이 재게시함

Sofia Lazar

. 7. 13.

🌍 Iberia: Where the People Are 🇪🇸🇵🇹 Mapped at 30 arcsec resolution using GHSL: 🔴 Rural decline 🟡 Urban/coastal growth 🔵 Mountains & plains = uninhabited 👀 Who stays? Who leaves? Where’s the future? Inspired by a classic tutorial from @milos_agathon 🙌 #PopulationChange #R

LAZARSofia1's tweet image. 🌍 Iberia: Where the People Are 🇪🇸🇵🇹
Mapped at 30 arcsec resolution using GHSL:
🔴 Rural decline
🟡 Urban/coastal growth
🔵 Mountains &amp; plains = uninhabited

👀 Who stays? Who leaves? Where’s the future?
Inspired by a classic tutorial from @milos_agathon 🙌
#PopulationChange #R

Python Maps 님이 재게시함

Vivid Maps

. 7. 12.

This sheep density map by @PythonMaps shows where sheep are packed in tight 🐑 New Zealand, Australia, India, China, UK, Mongolia—all over the map. vividmaps.com/sheep-livestoc… #Sheep #Farming #Geography #Maps

VividMaps's tweet image. This sheep density map by @PythonMaps shows where sheep are packed in tight 🐑
New Zealand, Australia, India, China, UK, Mongolia—all over the map.
vividmaps.com/sheep-livestoc…

#Sheep #Farming #Geography #Maps

Python Maps 님이 재게시함

Mark R. Brown, AICP, CNU

@CompletedStreet

. 7. 11.

"Freedom" apparently means letting cities grow like cancer cells until there's no farms or open space left and everyone is forced to buy a car for basic daily needs.

CompletedStreet's tweet image. "Freedom" apparently means letting cities grow like cancer cells until there's no farms or open space left and everyone is forced to buy a car for basic daily needs.

Python Maps 님이 재게시함

Jacob Shell

. 7. 9.

Maps like this are truly a lost art.

JacobAShell's tweet image. Maps like this are truly a lost art.

terence

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@pokateo_maps

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