Tessellation guide to trigrid objects

The table includes basic properties of trigrids described with specific tessellation parameters

Usage

triguide

A data.frame with 120 observations and 20 variables:

total: The total tessellation of the grid, the number of points inserted between icosahedron vertices along an edge.
level1: Level 1 tessellation.
level2: Level 2 tessellation - second value of the tessellation vector.
level3: Level 3 tessellation - third value of the tessellation vector.
level4: Level 4 tessellation - four value of the tessellation vector.
faces: The number of faces in the grid.
vertices: The number of vertices in the grid.
meanEdgeLength_deg: Mean edge length in degrees.
sdEdgeLength_deg: Standard deviation of edge length in degrees.
meanEdgeLength_km: Mean edge length in kilometers.
sdEdgeLength_km: Standard devation of edge length in kilometers.
meanArea_km2: Mean face area in square-kilometers.
sdArea_km2: Standard deviation of face area in square-kilometers.
time: Time to compute grid with an Intel Xeon E-1650 prcessor.
time_sp: Time to compute grid with an Intel Xeon E-1650 prcessor, with the 'sp' member.
size: The size of the grid in bytes.
size_sp: The size of the grid object in bytes, with the 'sp' member.
timeLocate_5000: Time to locate 5000 points with an Intel Xeon E-1650 in seconds (wall time).
meanSpacing_deg: Mean spacing in degrees.
sdSpacing_deg: Standard deviation of spacing in degrees.

This is version 0.2, now including the spacing of the grids.