Graham McIntire
66639e3717
Replace circle markers with a canvas tile layer that renders smooth, flowing colored regions using bilinear interpolation between grid points. Colors interpolate between tiers for gradients. ~95k grid points at 0.125 degree resolution with wgrib2 extraction.
43 lines
1.2 KiB
Elixir
43 lines
1.2 KiB
Elixir
defmodule Microwaveprop.Propagation.Grid do
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@moduledoc "CONUS grid definition for propagation scoring. 0.125 degree resolution (~14 km)."
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@lat_min 25.0
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@lat_max 50.0
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@lon_min -125.0
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@lon_max -66.0
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@step 0.125
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@doc "Returns all grid points as `{lat, lon}` tuples covering CONUS at 0.125 degree spacing."
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def conus_points do
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for lat <- float_range(@lat_min, @lat_max, @step),
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lon <- float_range(@lon_min, @lon_max, @step) do
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{Float.round(lat, 3), Float.round(lon, 3)}
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end
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end
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@doc "Returns the grid step size in degrees."
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def step, do: @step
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@doc "Returns the CONUS bounding box as a map."
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def bounds, do: %{lat_min: @lat_min, lat_max: @lat_max, lon_min: @lon_min, lon_max: @lon_max}
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@doc "Returns the grid specification for wgrib2 -lola extraction."
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def wgrib2_grid_spec do
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lon_count = round((@lon_max - @lon_min) / @step) + 1
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lat_count = round((@lat_max - @lat_min) / @step) + 1
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%{
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lon_start: @lon_min,
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lon_count: lon_count,
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lon_step: @step,
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lat_start: @lat_min,
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lat_count: lat_count,
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lat_step: @step
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}
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end
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defp float_range(start, stop, step) do
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count = round((stop - start) / step) + 1
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Enum.map(0..(count - 1), fn i -> start + i * step end)
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end
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end
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