Does more coverage in data typically result in lower or higher resolution?

More coverage in data typically results in lower resolution due to the principle of trade-offs in imaging and data collection. When a larger geographic area is covered at once, it generally comes at the expense of the detail captured in that area. In other words, to gather data over a wider expanse, the system may need to lower its resolution to ensure speed and efficiency. This is especially common in remote sensing and geospatial imaging, where bandwidth and resource limitations can necessitate a choice between broad coverage and finer detail.

High-resolution data allows for capturing intricate details within a smaller area, while low-resolution data enables analysis over larger swathes but sacrifices those details. Therefore, when aiming for extensive data coverage, the resolution tends to decrease, making it challenging to discern smaller features or changes within the captured data. This relationship is fundamental in geospatial analysis, whereby the desires for spatial extent and resolution often exist in a balancing act.