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Preliminary approach: use skimage.measure.find_contours on numpy arrays loaded using rasterio. Convert and simplify contours using shapely.
Output Formats
GeoJSON / TopoJSON / MVT vector tiles.
Data Attributes
Data attributes will include an elevation value (an integer), kind value (e.g. contour), and min_zoom value for the zoom when that interval was first included on the map. A 500 meter interval contour would get a min_zoom of 9 in both the zoom 9 tile, and any subsequent zoom 10, 11, 12 & etc tile. A 200 meter interval contour would get a min_zoom of 10 in both the zoom 10 tile and any subsequent zoom 11, 12, 13 & etc tile. The min_zoom value can act as an “index” indicator, but we will not include an index property.
Intervals
Zoom
Interval (Imperial)
Interval (Metric)
9
tk
500m
10
tk
200m
11
1000ft
100m
12
tk
50m
13
200ft
20m
14+
40ft
10m
The text was updated successfully, but these errors were encountered:
Preliminary approach: use
skimage.measure.find_contours
on numpy arrays loaded using rasterio. Convert and simplify contours using shapely.Output Formats
GeoJSON / TopoJSON / MVT vector tiles.
Data Attributes
Data attributes will include an
elevation
value (an integer),kind
value (e.g.contour
), andmin_zoom
value for the zoom when that interval was first included on the map. A 500 meter interval contour would get amin_zoom
of9
in both the zoom 9 tile, and any subsequent zoom 10, 11, 12 & etc tile. A 200 meter interval contour would get amin_zoom
of10
in both the zoom 10 tile and any subsequent zoom 11, 12, 13 & etc tile. Themin_zoom
value can act as an “index” indicator, but we will not include an index property.Intervals
The text was updated successfully, but these errors were encountered: