| var Countries = []string{ | |
| "Afghanistan", | |
| "Albania", | |
| "Algeria", | |
| "American Samoa", | |
| "Andorra", | |
| "Angola", | |
| "Anguilla", | |
| "Antarctica", | |
| "Antigua and Barbuda", |
To start with I downloaded Natural Earth 1:50m land shapefile. This was then reprojected to Web Mercator / EPSG:3857. I ran a series of buffers on the reprojected shapefile within QGIS. These were then combined, exported to Mapbox and styled. The final map turned out like this:
View the full web map on Mapbox.
Below is a list of open source games and game-related projects that can be found on GitHub - old school text adventures, educational games, 8-bit platform games, browser-based games, indie games, GameJam projects, add-ons/maps/hacks/plugins for commercial games, libraries, frameworks, engines, you name it.
If you'd like to add a repository to the list, please create an Issue, or fork this repository and submit a pull request.
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Two well-known algorithms for polyline simplification are the Douglas Peucker and Visvalingam algorithms.
The Douglas Peucker algorithm uses a recursive divide-and-conquer approach. It starts by drawing a straight line from the first point to the last point. Then it finds the intermediate point that is furthest away from the straight line and deems this the "most important" and splits the polyline into two halves at that point. This process is repeated on both halves until the distance of the intermediate point is below a certain threshold, after which all points on that sub-polyline are thrown away since they have a negligible impact on the overall shape.
The Visvalingam algorithm works from the inside-out. It starts by computing the area of the triangle formed by each consecutive three points along the polyline. Then the midpoint of the triangle with the least area is thrown out since those three points are the closest to colinear and the area of triangles on either side are recomputed. The process
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