Hexagonal tiling Tile Polygon Tessellation, mesh texture, angle, white, monochrome png 1000x1000px 48.29KB.Diamond, Pattern, Tessellation, png 1280x1232px 140.32KB.Honeycomb conjecture Hexagonal tiling Tessellation, others, angle, white, monochrome png 768x768px 26.11KB.Penrose triangle Tessellation Geometry Art, triangle, angle, triangle, monochrome png 800圆93px 137.53KB.Tesselation, Stroke, Tessellation, Triangle, Mosaic, Pattern, png 1280x1230px 156.21KB.Hexagonal tiling Tessellation, geometrical, angle, symmetry, monochrome png 810x720px 62.83KB.Hexagon Tessellation, hexagonal, angle, white, rectangle png 2000x1730px 56.48KB.Hexagon Shape Tessellation, hexagon, angle, white, rectangle png 888x768px 19.57KB.Also, you should avoid generating a large grid using Web Mercator. Using a UTM or State Plane projected coordinate system would be inappropriate for a large continental area grid. Note: We used the Equal Earth Americas projection to minimize area distortion. (5) Specify the desired Spatial Reference. Note: This will populate the extent coordinate boxes with your map’s current min and max X/ Y coordinates. (2) Position your map over the lower 48 states, then set Extent to Current Display Extent. Note: Because this step is intermediate, writing data to memory provides the fastest performance by creating a temporary hexagon layer. (1) Specify the Output Feature Class as memory\h3_hexagons. Using the Generate Tessellation tool, set the following parameters: Create a grid of H3 Hexagons using the Generate Tessellation tool Our goal is to visualize the impact of tornadoes from the last decade (2011 to 2021) over the lower 48 United States. Therefore, you can use H3 hexagons as a standardized grid across multiple scales of analyses and projects. In particular, H3 hexagons are great because they are built over a model of the Earth, meaning their position remains consistent at each resolution. Also, unlike administrative boundaries, hexagons do not change over time, meaning you can use them to compare data over different time horizons. Administrative boundaries are irregular in size and shape, which may cause size bias where larger objects appear more prominent and require normalization for numeric attributes. Using a uniform grid of hexagons, you can display raw count statistics. There are several advantages to using hexagonal grids for aggregation and summarization rather than administrative boundaries like states, counties, or block groups. ![]() Spatial binning or aggregation is an excellent way to analyze patterns in large point datasets. But you might be asking, why should I care about a new type of hexagon grid? Why use H3 Hexagons for Spatial Analysis? ![]() H3 has been written about in detail in other places, including the H3 documentation. H3 is a global grid system that partitions the Earth into hexagons and 12 pentagons The bigger the resolution, the smaller the average area is for each hexagon-this results in more hexagons covering the same area. ![]() You can set the average area of each H3 hexagon in the H3 Resolution parameter, where you can choose between 16 precomputed H3 resolutions (0 through 15). H3 hexagons are available in the Shape Type parameter’s drop-down list. In ArcGIS Pro 3.1, the Generate Tessellation tool continues to offer all the same tessellation shapes, with the addition of H3 Hexagons. In previous versions of ArcGIS Pro, the tessellated shapes included triangles, squares, diamonds, hexagons (flat-top), and transverse hexagons (pointy-top). The Generate Tessellation tool creates a grid of repeating shapes over a given area. Now, H3 hexagons are also available in the core Generate Tessellation geoprocessing tool! Generate Tessellation tool H3 hexagons were first introduced in ArcGIS Pro 3.0 by the Business Analyst team as an option for the licensed Generate Grids and Hexagons tool. In ArcGIS Pro 3.1, the Generate Tessellation tool can now create hexagon grids using the open-source hierarchical spatial indexing system, H3.
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