- Видео 69
- Просмотров 104 287
Anatoly Ilyenkov
Добавлен 17 май 2009
Smallest circles with fifth of the World Population 10000 BCE - 2100 CE
0:00 - Radius of circle with fifth of the World Popualtion (blue-yellow map), smallest such circles (white) and the Center of World Population (red), 10 000 BCE - 2100 CE, World map
0:24 - Population density (red) map with the smallest circles with fifth of the World Population (black) and the Center of World Population (blue), 10 000 BCE - 2100 CE, World map
Maximum radius of smallest circles is limited to 5 000 km for better rendering. Circles are distorted due to properties of Eckert IV map projection.
Valeriepieris circle:
en.wikipedia.org/wiki/Valeriepieris_circle
Alternative year numbering system is Holocene calendar (Holocene Era or Human Era). It adds exactly 10,000 years to the curren...
0:24 - Population density (red) map with the smallest circles with fifth of the World Population (black) and the Center of World Population (blue), 10 000 BCE - 2100 CE, World map
Maximum radius of smallest circles is limited to 5 000 km for better rendering. Circles are distorted due to properties of Eckert IV map projection.
Valeriepieris circle:
en.wikipedia.org/wiki/Valeriepieris_circle
Alternative year numbering system is Holocene calendar (Holocene Era or Human Era). It adds exactly 10,000 years to the curren...
Просмотров: 398
Видео
Smallest circles with quarter of the World Population 10000 BCE - 2100 CE
Просмотров 134Год назад
0:00 - Radius of circle with quarter of the World Popualtion (blue-yellow map), smallest such circles (white) and the Center of World Population (red), 10 000 BCE - 2100 CE, World map 0:24 - Population density (red) map with the smallest circles with quarter of the World Population (black) and the Center of World Population (blue), 10 000 BCE - 2100 CE, World map Maximum radius of smallest circ...
Smallest circles with third of the World Population 10000 BCE - 2100 CE
Просмотров 283Год назад
0:00 - Radius of circle with third of the World Popualtion (blue-yellow map), smallest such circles (white) and the Center of World Population (red), 10 000 BCE - 2100 CE, World map 0:24 - Population density (red) map with the smallest circles with third of the World Population (black) and the Center of World Population (blue), 10 000 BCE - 2100 CE, World map Maximum radius of smallest circles ...
Smallest circle with half of the World Population 10000 BCE - 2100 CE
Просмотров 30 тыс.Год назад
0:00 - Radius of circle with half of the World Popualtion (blue-yellow map), smallest such circle (white) and the Center of World Population (red), 10 000 BCE - 2100 CE, World map 0:24 - Population density (red) map with the smallest circle with half of the World Population (black) and the Center of World Population (blue), 10 000 BCE - 2100 CE, World map Maximum radius of smallest circles is l...
Center of World Population 10000 BCE - 2100 CE
Просмотров 1,8 тыс.2 года назад
0:00 - Average distance to every human map with Center of World Population (red), 10 000 BCE - 2100 CE, World map 0:24 - Average distance to every human map with Center of World Population (red), 3000 BCE - 2100 CE, Southern Eurasia map 0:47 - Population density (red) map with Center of World Population (blue), 10 000 BCE - 2100 CE, World map Alternative year numbering system is Holocene calend...
Project Hail Mary - Earth's climate scenarios
Просмотров 9403 года назад
Two climate scenarios inspired by Project Hail Mary by Andy Weir: 00:00 - no action scenario 01:11 - as in book, but without greenhouse effect tricks Temperature, Population density, Climate zones and Natural colors Earth maps. This simplified climate model has three inputs: solar irradiance (W/m2), sea-level pressure (Pa) and land share (%). Atmosphere (sea-level pressure) creates greenhouse e...
Moon terraforming maps
Просмотров 1,2 тыс.3 года назад
Altitude, Temperature, Precipitations, Climate zones, Coast distance, Pressure, Population density and Natural colors Moon terraforming maps 0:00 Maps mosaic, increasing sea share from 0% to ~70%, eckert IV projection 1:45 Maps mosaic, 10% sea share, rotating orthographic projection 2:43 Maps mosaic, 30% sea share, rotating orthographic projection 3:35 Maps mosaic, 50% sea share, rotating ortho...
Mercury terraforming maps
Просмотров 7233 года назад
Altitude, Temperature, Precipitations, Climate zones, Coast distance, Pressure, Population density and Natural colors Mercury terraforming maps 0:00 Maps mosaic, increasing sea share from 0% to ~70%, eckert IV projection 1:51 Maps mosaic, 10% sea share, rotating orthographic projection 2:49 Maps mosaic, 30% sea share, rotating orthographic projection 3:37 Maps mosaic, 50% sea share, rotating or...
Earth terraforming maps
Просмотров 9793 года назад
Altitude, Temperature, Precipitations, Climate zones, Coast distance, Pressure, Population density and Natural colors Earth terraforming maps 0:00 Maps mosaic, increasing sea share from 0% to ~70%, eckert IV projection 1:34 Maps mosaic, 10% sea share, rotating orthographic projection 2:33 Maps mosaic, 30% sea share, rotating orthographic projection 3:23 Maps mosaic, 50% sea share, rotating orth...
Venus terraforming maps
Просмотров 2,3 тыс.3 года назад
Altitude, Temperature, Precipitations, Climate zones, Coast distance, Pressure, Population density and Natural colors Venus terraforming maps 0:00 Maps mosaic, increasing sea share from 0% to ~70%, eckert IV projection 1:33 Maps mosaic, 10% sea share, rotating orthographic projection 2:25 Maps mosaic, 30% sea share, rotating orthographic projection 3:20 Maps mosaic, 50% sea share, rotating orth...
Mars terraforming maps
Просмотров 2,2 тыс.3 года назад
Altitude, Temperature, Precipitations, Climate zones, Coast distance, Pressure, Population density, Natural colors and Radiation Mars terraforming maps 0:00 Maps mosaic, increasing sea share from 0% to ~70%, eckert IV projection 2:00 Maps mosaic, 10% sea share, rotating orthographic projection 2:51 Maps mosaic, 30% sea share, rotating orthographic projection 3:48 Maps mosaic, 50% sea share, rot...
Purple terraforming terrestrial planets
Просмотров 1,3 тыс.3 года назад
Terraforming terrestrial planets (Earth, Moon, Mercury, Venus and Mars), 10%, 30% , 50% and 70% water surface. Retinal-based photosynthesis. Purple Earth hypothesis: en.wikipedia.org/wiki/Purple_Earth_hypothesis You can find source code here: github.com/ilyenkov/terraforming_maps
Terraforming terrestrial planets
Просмотров 7 тыс.3 года назад
Terraforming terrestrial planets (Earth, Moon, Mercury, Venus and Mars), 10%, 30% , 50% and 70% water surface. Chlorophyll-based photosynthesis You can find source code here: github.com/ilyenkov/terraforming_maps
Количество смертей в январе-ноябре 2020 года по сравнению с месячными средними за 2015-2019гг.
Просмотров 873 года назад
Внутримесячная линейная аппроксимация по месячным данным Росстата, Укрстата и Белстата (по Белоруссии есть данные только целиком по стране за первые 6 месяцев). Отклонения обрезаны до -60%.
[final] Terraforming Mars maps mosaic - altitude, temperature, pressure and climate zones
Просмотров 4614 года назад
[final] Terraforming Mars maps mosaic - altitude, temperature, pressure and climate zones
[final] Terraforming Earth maps - altitude, temperature, pressure, precipitations and climate zones
Просмотров 2574 года назад
[final] Terraforming Earth maps - altitude, temperature, pressure, precipitations and climate zones
[final] Terraforming Earth maps mosaic - altitude, temperature, pressure and climate zones
Просмотров 1854 года назад
[final] Terraforming Earth maps mosaic - altitude, temperature, pressure and climate zones
[final] Terraforming Venus maps mosaic - altitude, temperature, pressure and climate zones
Просмотров 7924 года назад
[final] Terraforming Venus maps mosaic - altitude, temperature, pressure and climate zones
[final] Terraforming Venus maps - altitude, temperature, pressure, precipitations and climate zones
Просмотров 1,8 тыс.4 года назад
[final] Terraforming Venus maps - altitude, temperature, pressure, precipitations and climate zones
[final] Terraforming Mars radiation map 4K 60fps eckert4
Просмотров 4114 года назад
[final] Terraforming Mars radiation map 4K 60fps eckert4
[final] Terraforming Mars maps - optimistic scenario, 8K
Просмотров 1,9 тыс.4 года назад
[final] Terraforming Mars maps - optimistic scenario, 8K
[final] Terraforming Mars maps - baseline scenario, 8K
Просмотров 7014 года назад
[final] Terraforming Mars maps - baseline scenario, 8K
[final] Terraforming Mars maps - altitude, temperature, pressure, precipitations and climate zones
Просмотров 1,8 тыс.4 года назад
[final] Terraforming Mars maps - altitude, temperature, pressure, precipitations and climate zones
Количество смертей в январе-сентябре 2020 года по сравнению с месячными средними за 2015-2019гг.
Просмотров 524 года назад
Количество смертей в январе-сентябре 2020 года по сравнению с месячными средними за 2015-2019гг.
[draft v3.1] Terraforming Mars maps - altitude, temperature and pressure - 4K, 60fps
Просмотров 1494 года назад
[draft v3.1] Terraforming Mars maps - altitude, temperature and pressure - 4K, 60fps
[draft v3.1] Terraforming Mars maps - altitude, temperature and pressure - 8K, 60fps, mosaic
Просмотров 974 года назад
[draft v3.1] Terraforming Mars maps - altitude, temperature and pressure - 8K, 60fps, mosaic
[draft v3] Terraforming Mars maps - altitude and temperature - 4K, 60fps
Просмотров 5064 года назад
[draft v3] Terraforming Mars maps - altitude and temperature - 4K, 60fps
[draft v3] Terraforming Venus maps - altitude and temperature - 4K, 60fps
Просмотров 3334 года назад
[draft v3] Terraforming Venus maps - altitude and temperature - 4K, 60fps
[draft v2] Terraforming maps of terrestrial planets - rotating orthographic, 8K, 60fps
Просмотров 2844 года назад
[draft v2] Terraforming maps of terrestrial planets - rotating orthographic, 8K, 60fps
[draft v2] Terraforming maps of terrestrial planets - 30% water
Просмотров 1694 года назад
[draft v2] Terraforming maps of terrestrial planets - 30% water
0:30 You can see exactly when the rats do a little trolling in Europe.
How to move such massive comets
@al.Safaqusi now there are no such engines and energy sources for them, but somewhen in future it may be possible
@MrQwerty3131 You also made a video about solar radiation on mars and the mSv/year-level on different regions. As it would take a long time for the co2 to be changed into o2, the first few centuries the atmosphere wouldnt have a lot of o2. So do you think that an atmosphere with maybe 30% co2 and 70% nitrogen would do the job from protecting from solar radiation? And thank you for answering so fast.
What if the atmosphere be made out of the CO2
Why did the new world population increase so fast to slow down by 10,000 bc?
@@deleted-something very interesting question! I suppose that combination of climatic, geographic and cultural factors
Estimating population density a thousand years ago is mostly guesswork. Ten thousand is pure fiction.
Glad to see something from you after all this time, I hope you've been doing well.
Thank you Anatoly Ilyenkov, very cool!
What does HE mean? Like it says 1000 BCE (9000 HE), what does that mean?
@A-12-1-14 Alternative year numbering system is Holocene calendar (Holocene Era or Human Era). It adds exactly 10,000 years to the currently dominant (AD/BC or CE/BCE) numbering scheme, placing its first year near the beginning of the Holocene geological epoch and the Neolithic Revolution.
@ thanks for the answer
the year 2100 is kind of...
This channel needs more recognition
It's interesting how around 10,000 BC the majority of people actually lived in the western hemisphere if I'm interpreting this correctly
Yep, according to estimates if HYDE database. Maybe for that type of human lifestyle Northern America was better. Before agriculture people need a lot of territory to feed one person and that territory should be of some specific type. Incidentally, it seems that the transition to agriculture happened earlier in Eurasia than in America. Perhaps this is because hunter-gatherers did well in America and so they were population-wise more succesfull.
@@MrQwerty3131 probably because hunting is easier? The animals in americas didn't evolve to survive against humans while African animals co-evolved with humans.
Bro I don’t deserve this
Why the circle center is on the Long Island in bc 10k and on the Atlantic Ocean in bc 9k???🤔 The Long Island one is not even a center of the circle.😂😂 Must be some kind of glitch I guess. Or, you have to point out what on earth was going on in that period
Center of circle can be anywhere: imagine two more or less equal islands with equal population -> center of population of such country will be between these two islands (jn the sea). Red/blue dot is not connected to circle - circle shows smallest part of the world with HALF of the world population and dot shows center of the ENTIRE world population. Here they are quite close to each other, but, for example on my maps with circles with THIRDS or QUARTERS of world population they can be quite distant at all.
You really think the center of population will be in the desert by 2100 when climate change is happening?
It's not about my wishes, it's just how math works: imagine two more or less equal islands with equal population -> center of population of such country will be between these two islands (jn the sea). And, of course, forecasts are just forecasts and estimates of distant past are just estimates.
It's just a mathematical average, it's not like there is going to be a massive city right there.
In 6000 bce the center of world population was in the border of Cucuteni and Yamnya cultures
0:45: population is 8 billion. Thanos snap takes us back to 0:38 or 1970 with 3.6 billion
@@kahlzun -7 seconds
China and India, two old sedentary civilisations have always represented half of the world population for the last three thousand years
Awesome channel
The 10,000 BC circle makes absolutely no sense. Can anyone explain it?
It's best estimates of where people lived 12KY ago. Circle is relativly large because population wasn't concetrated as it became after agricultural revolution.
@@MrQwerty3131 Ok, but why is it located where it is. Looking at the density graph in the second half, I think it must overestimate the density around modern-day Mexico at the point... looks like possibly a glitch in the data.
@@edsanville I think another factor is the surprisingly high density on the coasts of Brazil. Doesn't seem realistic.
@@MrQwerty3131stretching upto 10000 years, we find the evidence of Egyptian, Mesopotamia and Indus Valley Civilisations, that too extremely rare discoveries claim it. How come the majority of the population lives in Americas?
@@BiharyGaborIf your talking about the one in the XIV century, it’s probably about the indigenous population. Notice how it gets white(sparsely populated) again around the 1500s?
Man quit tryna predict the future.
I love how this pimplies that half of everyone alove in 12000bc decided “hey the beringian ice sheet is melting let’s walk across it”
pimplies
alove
menting
@@kiwi_2_officialit said melting not menting hope that helps 😊
@axolotldoesyoutube go away
Lmao. Half of barely colonized america supposedly holds as many people in 10k BC as entirety of afroeurasia. I smell unsupported bullshit extrapolated from some singular side note.
Super informative, thank you
How do I run the code?
can't believe my small new hampshire town was once the center of half the world's population
I’m pretty sure it’s actually set on Long Island.
@@solar_aintdead4270 between it and connecticut
ein Beitrag des Donnerstages, 19. Dezember 2024 [holy day of Saint Nicolaus, Bishop of Myra (most Orthodox Churches)] Every time while the "First in the Nation Presidential primary elections", New Hampshire feels to be the center of the Earth! :) In advance, to y´all: merry christmas and a happy new year!
@@Merluch so in the ocean
Pakistan and Africans 😔
In the last half of the century
Finally! Soon the circle will be out of India AND China
This is SO good, it should have millions of views
How do you make these? I want to make one for Venus like this, but with average surface temperature 35°C, Venus’ obliquity (177.36°) and solar day (116.75 days), and with an atmosphere of 5 bars instead of 1.
You can find code at github.com/ilyenkov/terraforming_maps But it assumes Earth's obliquity and solar day
@@MrQwerty3131thank you! :) Also, I was wondering: How is Venusian Hammam (very hot and humid climate) definitionally separated from Tropical Rainforest? What makes it different? How hot and humid does the climate have to be, to be classified as ‘Venusian Hammam’ instead of ‘Tropical Rainforest’?
@@gaelicpatriot3604 simple answer is "average temperature>30 deg celcius". On Earth we almost don't have such hot places and I assume that all places with average temperature > 30 deg celcius are too hard to classify and call it "venusian hammam".
@@MrQwerty3131I think Dallol, Ethiopia has a daily mean temperature >30°C every month, but it’s dry. Does the mean precipitation have to exceed 60mm every month like tropical rainforest climates?
@@gaelicpatriot3604 on my maps - no, but generally, classification of all exoplanets' (and not existing on Earth) climates is quite unteresting task. What, for example, to do, when temperature is higher than critical point for the main liquid on given planet? And so on
Have you ever considered making these types of maps and estimates (water coverage, weather, climate, atmosphere, etc) for the other large objects of the solar system... Io (18.3%), Ganymede (14.5%), Titan (13.8%), Europa (13.4%), Callisto (12.6%), Eris (8.3%), Triton (8.0%). After Triton, the gravity is so low even if we could not sure they would be worth terraforming efforts unless we had artificial gravity or used them for only farming purposes. I image some of these would be water worlds.
I cannot find link, but as I remember even at Mars ans Mercury gravity is not enough for long-run retention of normal air gases O2 and N2 (CO2 molecule is heavier). So these maps would be even more meaningful than that's of terrestrial planets. Ganymede, Europa, Callisto, Titan and Triton are very water ice rich worlds, so if we warm them to 0°С they will be water worlds with global ocean of tens (or even hundreds) kilometers depth, so it's maps will be very simple.
You should do this with the largest circle that shows the same.
Funny thing is that it's the same circle, but its outside area. And it's center is strictly on the other side of the Earrth (comparing to the center of the smallest circle).
@@MrQwerty3131 its*
@@kiwi_2_official🤓
@@kiwi_2_officialno, It is the same circle. That is not referring to ownership in any way
@@catloverplayz3268 you should read the comment better hint: find another use of the word
54.5 ocean surface cover is my fav 16:47
@@XlendneryGD yep, it's definitely good!
Damn, its been yrs since ur first video posted here. What are you up to now?.
Not years but rather just one :)
@@dragonmanover9000his first video was literally 15 years ago
@@EarbooOh didn’t see the first video part lol
This is wrong! The center should be in Highest density area i.e. in India-Bngladesh border in 2024
It isn't the center of the smallest circle with half of the World Population. It is the center of all World Population, so it isn't in the highest density area.
@@MrQwerty3131 How do you calculate it? Is it the projection of the point calculated in 3 dimensions within the body of the Earth?
@@BiharyGabor Yep, real center of circle is inside the Earth, but on map we see it's projection. Of course, greater circle -> deeper inside
@@MrQwerty3131 My understanding is that the moving dot is not the (surface) center of the circle but the surface projection of the center of gravity of all humans living on Earth. Your dot rarely appears in the center of the circle.
@@BiharyGabor some comments: 1) "radius of circle" is not true radius, but distance from circle's border to projection of center on the surface 2) Circle is minimal circle, containing half of the world population Red/Blue dot is the point, where weighted by population average distance to all humans is the lowest
Imagine hundreds if not thousands of years in the future some Venusian kid stumbles on these ancient internet archives and watches this video. On the infinitesimally small chance ur reading hi 👋 if I ever have kids chances are I’m ur great great great x1200 grandpa so stay out of trouble kiddo!
Ceres and Io are still missing.
This is awesome... Why the hell does this only have a thousand views
Wow, I've been looking for exactly this content. Ive recently started to get interested in climate science and Mars has been a personal obsession for quite a few years already, and just today I asked myself how the climate patterns in a terraformed mars would look like.
your videos are quite detailed!
I reckon 35% water surface share & 10 degrees C average temperature would be ideal, with sea level pressure being the same as Earth's.
Ok, our Terraforming committee will take into account your opinion! :)
This is so cool, you should do the Galilean moons and maybe Titan.
Thank you!
Hello! I am trying to run your script linked in your github but am getting errors because of the absence of neigh.pickle and pop_den_dict.pickle. Do I need to get these files elsewhere or am I making some sort of mistake with how I am running it. Thanks for this very cool resource!
Hello! Please, comment rows 133 and 134 in MapConstructor.py. It should fix problem with neigh.pickle. It's not used for map generation. And I've just added pop_den_dict.pickle to github. Welcome!
@@MrQwerty3131 Thank you so much! FYI to get it to work I had to remove the 'quality' variable in line 1566 and also had to comment out all the lines with cbar.ax.set - seems to be a deprecation issue. Nevertheless awesome work! I'm going to be testing to see if I can get these georeferenced for GIS analysis and will let you know if I have any success.
@@AKarpatsky I'm glad, that it works! I'm interested to know, what you will make! Please, send a link, when it'll be ready. Good luck!
I’m kind of wondering what do you even use to make these videos because I’m thinking of doing one myself using the actual wind map of Mars if it’s even possible for that kind of simulation
You can find github link in video description. Of course wind map will improve precipitations and climate zones maps. As well as ocean currents map will also add some accuracy to temperature, precipitations and climate zones. In my model there are neither wind nor ocean currents assumptions.
CRIMINALY UNDERATED !!! WOW you have so many informations i was looking for. My strategy for terraforming of Mars is that i would first gather the Nitrogen i wanted from Venus and the water from Ceres,lifted by enormous orbital rings and carried by a fleet of a million fusion torchships and parked within Mars hill sphere (around 500.000km). I would have constructed a pair of oneil cylinders made of zylon,around 150 km in radious. When everything is ready the population would be tranfered to the cylinder. I am going to use the kinetic energy of the water to demolish the southern highlands of Mars and flatten part of the planet so i don't have to transfer all that water. No terraforming changes would occured at Mars until everything is set. During the evacuation period (around 5 years) mirrors at L1 would block the light in order to turn the thin CO2 atmosphere into solid ice and leave a thinner layer of nitrogen/argon atmosphere in order to minimize the aerobreaking of the falling ice and maximize the impact on the ground. After that the 1 million torchips in orbit of Mars would each grab a block of ice measurring 1km by 1km by 4km, cancel its 280 m/s speed in order to fall verticaly on the surface BUT ONLY in selected places,the formentioned southern highlands, and as synchronised as possible. this would transfer an average of 27 m of water per square meter and would lower the elevation significaly while the debris would collect to lower elevation thus rasing it. In total i plan for transferring 300m of water per square meter. Continents and islands would have to created in the northern hamisphere. Yes,that is hard work,but is doable and if you're willing to go the effort of terraforming a planet you don't settle for the natural real estate. Nitrogen would be brought down after the evaporated oceans have solidified to ice,probably using orbital rings. Oxygen generation would be done by a giant laser in L1 via rock thermolysis. The metal generated would have to be shipped of planet so it wouldn't react with the oxygen again. At about 10% oxygen levels and 110% solar flux levels the population would return to the planet and start working on the soil.
Keep publishing these maps and plugging in the values. This information can be used as a backdrop for a fine art approach.
Do you think you could make a smaller version of this mars map? it would be really useful but I do not have a powerful computer so I cant even get the file in the first place. Maybe 1 gb, maybe down to 100 mb in size?
There is sample GeoTIFF file on the same site astropedia.astrogeology.usgs.gov/download/Mars/Topography/HRSC_MOLA_Blend/thumbs/Mars_HRSC_MOLA_BlendDEM_Global_200mp_1024.jpg . Maybe it's what you need? An they have tool for converting maps (on the right side of the site).
Very nice , but could you share the math formulations you used and then coded in ?
They are quite simple, you can find them in MapConstructor.py, following github link in the video description. Please, do not hesitate to ask, if anythiing isn't clear.
last time i checked earth is already terraformed lmao
nice job
It's been quite a while, I was getting worried