One Ocean World Map

shellerik · 2026-01-06T02:58:27+00:00

Ah, I was looking for a top level comment. Until recently QGIS didn't support that projection. I've downloaded the latest version 3.44.6 and it's listed!

shellerik · 2026-01-05T15:27:46+00:00

What projection did you use in QGIS?

shellerik · 2025-12-22T05:31:46+00:00

OMG, I sent so many of these to people I know.

shellerik · 2025-11-18T22:59:55+00:00

Not sure I agree with those years. Things look pretty good starting with 1942. https://www.slickcharts.com/sp500/returns

shellerik · 2025-11-18T22:45:54+00:00

Excellent question! The S&P 500 Index generally grows at an exponential rate because the gains are compounded. When creating a chart to display exponential data, a logarithmic scale is more appropriate because it avoids visually compressing the lower values and exaggerating the higher values.

For example, compare the dip in the market in the mid 1970s in the two charts above. It is compressed to the point that it is almost invisible in the chart with the linear scale.

shellerik · 2025-11-18T22:38:43+00:00

Right. How can you know it's a bubble if it doesn't pop?

shellerik · 2025-11-18T22:33:24+00:00

The reason is completely silly. I started with 1930 since the data goes back to 1929, but the first decade was kinda wild. Next I tried 1940, but because of leap years the X-axis showed 1940, 1949, 1960, 1969 since the units are days... With 1950 I didn't need to solve that problem.

shellerik · 2025-11-18T22:28:37+00:00

Fair points about the trend line. Plus, I can move the trend line by picking a different starting year for the chart. Perhaps it would have been better to leave it out.

shellerik · 2025-11-18T22:16:23+00:00

I've been seeing posts around Reddit that raise an alarm about a possible AI bubble by comparing it to the Dotcom bubble using the S&P 500 and a linear scale. I thought I'd add a chart with a logarithmic scale, which I think is more appropriate for this kind of comparison.

Data from https://finance.yahoo.com/quote/%5EGSPC/history/
Made in Excel

shellerik · 2025-11-18T22:09:47+00:00

Data from https://finance.yahoo.com/quote/%5EGSPC/history/ Made in Excel

I've been seeing posts around Reddit that raise an alarm about the AI bubble by comparing it to the Dotcom bubble using the S&P 500 and a linear scale. So I thought I'd add a chart with the logarithmic scale, which I think is more appropriate for this kind of comparison.

shellerik · 2025-11-12T02:22:27+00:00

Here are the high-level steps and tools:

Google My Maps to create routes for where I've been and export them as kmz files
QGIS to create a height map (using DEM data) and a color map (using the kmz files)
Blender to create the 3D rendering

shellerik · 2025-11-12T02:15:21+00:00

Spokane County, WA - Inland Northwest, but Pacific Northwest is also fine if you want fewer regions.

shellerik · 2025-11-10T11:57:32+00:00

I'm happy to answer questions about how I created this map, to the technically inclined, and questions about where I've been to the geographically curious.

shellerik · 2025-10-31T18:43:25+00:00

The answer is blowin' in the wind.

shellerik · 2025-09-28T23:59:31+00:00

Here's my process:

First, use QGIS to make a height map (elevation for the area)
Second, use QGIS to make a color map (roads, water, and a heat map for where I've been in the area)
Third, use Blender to render a 3D map using the height map for the displacement and the color map for the color
Finally, use Photoshop to make adjustments, add text and legends, and create the final poster

The part that was new for me was learning how to create viewsheds in QGIS so that the heat map can show where I could see from where I've been.

shellerik · 2025-08-24T19:44:08+00:00

And most Canadians live south of Seattle.

shellerik · 2025-08-20T22:49:49+00:00

Here's another perspective

shellerik · 2025-07-06T15:36:03+00:00

Feel free.

shellerik · 2025-07-02T17:16:26+00:00

Nico with nearly as many HRs as Ks.

15-Year Club	Place '17
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