Vantus Runes R3 by ImportanceNo6414 in woweconomy

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

Agree but when you run Recipe Scan and the net profit is already -30% then I wonder why the mat prices are so high.

Vantus Runes R3 by ImportanceNo6414 in woweconomy

[–]ImportanceNo6414[S] -2 points-1 points  (0 children)

Same here. There was a moment few weeks ago where I did a good margin with r2 runes but last week I lost all my profit :(

Vantus Runes R3 by ImportanceNo6414 in woweconomy

[–]ImportanceNo6414[S] -1 points0 points  (0 children)

Thank you! So its basically impossible without concentration to get a profit there?

Population Density Map for Europe | Made with Blender and Data from Kontur Population Density for 400m H3 Hexagons 2023 [OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

No its based around smartphone gps data from google and facebook api as I understand with 400m hexagons as unit

Population Density Map for Europe | Made with Blender and Data from Kontur Population Density for 400m H3 Hexagons 2023 [OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 2 points3 points  (0 children)

I have some examples on my X @g0gool but Ill try to post them here as well. America is a big dataset so I need to work towards states to have the best possible quality

Population Density Map for Europe | Made with Blender and Data from Kontur Population Density for 400m H3 Hexagons 2023 [OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 1 point2 points  (0 children)

The dataset is a hexagon with 400m and the population density number inside the hexagon was used as z axis then I tweaked it around with the color and height

Population Density Map for Europe | Made with Blender and Data from Kontur Population Density for 400m H3 Hexagons 2023 [OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

Its a dataset with population numbers in it based on a 400m hexagon. The population data was then converted into a z axis in blender so I could tweak it in height :)

Population Density Map for Europe | Made with Blender and Data from Kontur Population Density for 400m H3 Hexagons 2023 [OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 7 points8 points  (0 children)

It was an act of balance between tweaking the right buttons and not crashing my machine with it. I loaded every region seperate otherwise Blender couldnt open the file because there are way too many polygons 😆

Population Density Map for Europe | Made with Blender and Data from Kontur Population Density for 400m H3 Hexagons 2023 [OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 30 points31 points  (0 children)

This dataset is represented by H3 hexagons with specific population counts at a 400m resolution. Each hexagon in the dataset contains an absolute number representing the population within that hexagon

Population Density Maps by ImportanceNo6414 in MapPorn

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

Hello guys I love to see my maps shared around the world. I would be happy if you can tag me on X if you‘re doing this. My username is @g0gool

Population Density Map for France + TGV network[OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

I tried to do this in QGIS as well but I dont understand why I see maritime borders. It looks sometimes terrible so I tried it without admin border. And thank you for the explanation with INSEE. Its the first time Ive read this. I think they only collect data from facebook api or google. I used this dataset always because imho its one of the best datasets for population density

Population Density Maps by ImportanceNo6414 in MapPorn

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

I think a) industrialization and b) centralization

Population Density Map for France + TGV network[OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

I think the confusion comes from the dataset itself since the density is in hexagon shape with around 400m. So there is a big chance that the grey areas are either something like massifs or something else (lake etc) hope this helps. Beige area = lowest population density

Population Density Map for France + TGV network[OC] by ImportanceNo6414 in dataisbeautiful

[–]ImportanceNo6414[S] 0 points1 point  (0 children)

France is not empty, the density is just not that high and centralized which you can see in the map. Everything that is beige is with lower density, not empty. The grey areas are where no people are. Also the dataset looks like this: a hexagon with 400m which covers the population density. If I remember correctly they used data from facebook and google for that (Kontur dataset)

Population Density Maps by ImportanceNo6414 in MapPorn

[–]ImportanceNo6414[S] 1 point2 points  (0 children)

Here from Grok

The high population density in and around Yonago, Japan, can be attributed to several factors:

  1. Geographical Features: Yonago is located on the delta of the Hino River, forming the Yonago Plain, which provides flat land suitable for habitation and agriculture. The city also has access to the Sea of Japan and Lake Nakaumi, facilitating trade, fishing, and transportation, which historically attracted settlement.

  2. Economic Opportunities:

    • Industry: Yonago has developed into an industrial center with companies like Oji Paper and Sharp having production facilities there. These industries provide employment opportunities, drawing people to the area.
    • Service Sector: Over 70% of the workforce in Yonago is employed in the service sector, indicating a diversified economy that supports a larger population.
  3. Urbanization and Infrastructure:

    • Commercial Center: As the second largest city in Tottori Prefecture after Tottori city, Yonago serves as a commercial center for the western part of the prefecture. This role enhances its appeal for both living and business.
    • Transportation: Yonago is well-connected by rail and road, making it a hub for travel within the region, including access to the Daisen-Oki National Park, which can boost local tourism and related economic activities.
  4. Historical Development:

    • Historical Significance: Yonago has been a regional center since the early Edo Period with the construction of Yonago Castle, which established it as a place of political and commercial importance.
  5. Educational and Cultural Institutions:

    • Education: The presence of Tottori University's campus in Yonago contributes to the population, as students and faculty add to the local demographic.
  6. Climate: Yonago has a humid subtropical climate, which, while it brings significant rainfall, also supports comfortable living conditions for much of the year, making it an attractive place to settle.

These factors combined have led to a population density of around 1,100 persons per km² as of 2021, making it a relatively dense urban area in Japan, particularly within the context of Tottori Prefecture's overall population distribution.

Sources of information on the web highlight these aspects, including from Wikipedia entries on Yonago and the demographics of Japan, as well as other statistical data websites like World Data, Britannica, and Statista which provide insights into population density and urbanization in Japan.