Choropleth with Michigan

I am reproducing the choropleth example here:

http://bokeh.pydata.org/en/0.11.1/docs/gallery/choropleth.html

However, being from Michigan, I noticed that:

  1. The entire upper peninsula (U.P.) is missing

  2. Michigan, which is know to be shaped like a mitten, is completely mis-shapened

  3. The great lakes appear to be missing

When I compare it to Google maps, I can see that the parts of the great lakes on the American side are essentially combined with its nearest county. So it ends up looking like a blob.

Is there a way to fix/remedy this?

Hi Sean,

There's a couple of issues I imagine. First is that we don't yet have "patches with holes" which is an open feature request. Sarah has done some initial work but it's also a bit fiddly and complicated. We might only add that capability for a GeeJSON renderer, and keep the existing Patches renderer fairly simple. Regarding the data, I would describe it as being of dubious provenance. I obtained it from a freely published Google Sheet. I'd have to track down the original reference, but I already know it has some problems (the gulf coast of Texas is a straight line, e.g.) If you know of a publicly available better set of data for US Geo boundaries, please let us know and we can try to integrate it.

Bryan

···

On May 21, 2016, at 8:31 PM, [email protected] wrote:

I am reproducing the choropleth example here:

http://bokeh.pydata.org/en/0.11.1/docs/gallery/choropleth.html

However, being from Michigan, I noticed that:

1) The entire upper peninsula (U.P.) is missing
2) Michigan, which is know to be shaped like a mitten, is completely mis-shapened
3) The great lakes appear to be missing

When I compare it to Google maps, I can see that the parts of the great lakes on the American side are essentially combined with its nearest county. So it ends up looking like a blob.

Is there a way to fix/remedy this?

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Sean/Bryan,
Those boundaries look like the US Census TIGER/Line state and county boundaries. They might have originally originated from here: https://www.census.gov/geo/maps-data/data/tiger.html

The Cartographic Boundary Shapefiles & KMLs on the same page provide a better representations of the “actual” boundaries. As far as getting the boundaries into a useful format for the example, I can’t find the referenced file “US_Counties.csv” in my bokeh folder to check the format, but I have had good luck using the GDAL command line utilities to convert shapefiles to something a little more readable. I have also had okay luck using the site shpescape.com to convert shapefiles to fusion tables or geoJSON. Let me know if I could help.

Charles

···

On Friday, June 3, 2016 at 9:11:28 PM UTC-7, Bryan Van de ven wrote:

Hi Sean,

There’s a couple of issues I imagine. First is that we don’t yet have “patches with holes” which is an open feature request. Sarah has done some initial work but it’s also a bit fiddly and complicated. We might only add that capability for a GeeJSON renderer, and keep the existing Patches renderer fairly simple. Regarding the data, I would describe it as being of dubious provenance. I obtained it from a freely published Google Sheet. I’d have to track down the original reference, but I already know it has some problems (the gulf coast of Texas is a straight line, e.g.) If you know of a publicly available better set of data for US Geo boundaries, please let us know and we can try to integrate it.

Bryan

On May 21, 2016, at 8:31 PM, [email protected] wrote:

I am reproducing the choropleth example here:

http://bokeh.pydata.org/en/0.11.1/docs/gallery/choropleth.html

However, being from Michigan, I noticed that:

  1. The entire upper peninsula (U.P.) is missing
  1. Michigan, which is know to be shaped like a mitten, is completely mis-shapened
  1. The great lakes appear to be missing

When I compare it to Google maps, I can see that the parts of the great lakes on the American side are essentially combined with its nearest county. So it ends up looking like a blob.

Is there a way to fix/remedy this?


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