![]() ![]() Universities often cover large areas it could be that your point feature sits in one hexagon cell but the university actually falls across multiple cells. Say you wanted to count the number of universities - represented as points - in each of your hexagon cells. This could be mitigated by clipping the hexagon grid to the extent of the land or using a compact visualization with higher resolution hexagons located along the coast. However the hexagon cell may actually contain large areas of sea, and the land-based population density may actually be very high. A hexagonal map of a coastal area may show that population density is low along the coast. A census block will have an exact surveyed number of residents assigned to it whereas transformations to a different geography will be modeled. Aggregating data into a hexagon grid from its raw form means you may lose the raw values of the data. Some things to consider when deciding whether to use a hexagonal grid include:
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