Monday, November 28, 2016

Matt Strimas-Mackey - Fishnets and Honeycomb: Square vs. Hexagonal Spatial Grids

In spatial analysis, we often define grids of points or polygons to sample, index, or partition a study area. For example, we may want to overlay a study area with a grid of points as part of some regular spatial sampling scheme, divide a large region into smaller units for indexing purposes as with UTM grid zones, or slice the study area into subunits over which we summarize a spatial variable. In the latter scenario, the most common approach is to use a raster format, in which a grid of uniform square cells is overlayed on a study area and each cell is assigned a value for the spatial variables of interest. In ecology and conservation applications, variables may include number of individuals of a threatened species per grid cell, elevation, mean annual rainfall, or land use.

No comments:

Post a Comment