Why Gigabytes of Coordinates Can Still Look Pixelated
A coordinate file can be huge without describing every visible point as a crisp, separate detail. Many programs store spatial information as grids: the area is divided into cells, and each cell holds a value or position. Covering a wide area, keeping several layers, or storing many measurements can make those files take up gigabytes.
But the grid’s apparent sharpness depends on how finely that area was divided—not simply on how much storage the files occupy. If each cell covers a broad patch, zooming in makes the cell boundaries visible as chunky blocks. More data may mean more places, layers, or measurements rather than smaller cells.
Storage and Detail Are Different Tradeoffs
A finer grid can represent smaller features, but it also requires more values to store and process. Software may therefore work with a coarser grid to keep the dataset manageable, or display a simplified version while rendering a view. Either way, a large download does not guarantee a smooth-looking result: the files can be bulky while the underlying grid remains coarse.
That distinction matters when judging what a visualization can show. Pixelation may reflect the resolution of the source grid, not a malfunctioning computer—and adding storage alone cannot restore detail that the grid never recorded.
