data
By open-peaks
polylabel
A fast algorithm for finding the pole of inaccessibility of a polygon (in JavaScript and C++) (by mapbox)
data | polylabel | |
---|---|---|
1 | 1 | |
19 | 1,391 | |
- | 1.4% | |
0.0 | 2.8 | |
8 months ago | about 2 months ago | |
C++ | ||
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
data
Posts with mentions or reviews of data.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-13.
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My lockdown side project: An interactive vintage map builder
For the cities, I used the data from this paper. The rivers are pretty standard and the mountains are taken from this Github project. The sea labels are custom made by me through QGIS, I open-sourced the data.
polylabel
Posts with mentions or reviews of polylabel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-13.
-
My lockdown side project: An interactive vintage map builder
Further, the correct placement of country labels is complex. You would think just centering is enough but for some country shapes (like the Turkish Empire in 1914) this looks very out of place so I tried this algorithm but calculating it upfront proofed more accurate. I still had to program my own editor to correctly place some labels so that they are esthetically pleasing. (still not 100% done with it)
What are some alternatives?
When comparing data and polylabel you can also consider the following projects:
historical-basemaps - Collection of georeferenced boundaries of world countries and cultural regions for use in mapping historical data on global or continental scale
d3-geo - Geographic projections, spherical shapes and spherical trigonometry.
sea-labels - GeoJSON of multilingual sea labels positioned with curved lines