Using QGIS to Create a Hexbin Map of GISP Registrations

Caitlin Dempsey


Binning is a cartographic technique for showing the density of point features.  Binning involves overlaying a grid of uniform shapes onto a point dataset.  Each cell in the grid is then assigned the number of points that falls within it.  A graduated color classification is then employed to show visually which cells contain the largest number of points.  Different sized shapes can be employed such as rectangles, diamonds, and hexagons.

A hexbin map is the concatenated term for hexagonal binning.  This involves the use of hexagons as the bin shape.  It is fairly easy to create a hexbin map using QGIS.  This tutorial uses a geocoded database from the GISP Registry which the GIS Certification Institute (GISCI) makes readily available.  The database was geocoded based on the ZIP code listed for each registration.

Creating a Hexbin Map with QGIS

To get started with creating the bin map, the first step is to install the MMQGIS plugin which provides a lot of very handy functions. You will need this plugin to create the hexagon grid layer.  To install go to Plugins –> Manage and Install Plugins…

In the GUI, search for MMQGIS, click on the plugin and select install plugin.

Load in the Point Shapefile

Before you create the grid, you will need to load in the point shapefile.  As I mentioned, this example uses a geocoded GISP shapefile as the point layer.  Once the layer is loaded, it is time to create the grid.

Create a Hexagon Grid

To create the hexagon grid, go to MMQGIS –> Create –> Create Grid Layer.

In the Grid GUI that pops up, select the “Shape Type” from the drop down as “Hexagons”.

Next, you want to set the resolution of the grids.  The larger the X spacing you enter, the larger the individual hexagon shapes will be in the grid.  I wanted a very small hexagons so I entered 0.25 as the x value.  I left the units as the default project units.  Then select the extent of the grid.  It can be the current extent which is useful if you only want the grid to cover a zoomed in area.  I set it to the extent of my point layer file.  Last, choose the name and location of the new grid layer.

Once your parameters are set, click on the “OK” button to generate the new grid layer.

Counting Points in Polygons

The next step in creating the hexbin map is to assign the number of points that falls within each hexagon. To do this go to Vector –> Analysis Tools –> Points in Polygon

In the Count Points in Polygon GUI select the grid layer you just created and then the point layer.  You can either accept the default count field name of “PNTCNT” or type in the name of the field that you want.  Finally, set the name and location of the new grid layer containing the count of points per polygon.  Click on “OK” and a new layer will be added to the canvas. You will see a notice: “Warning: Input layers have non-matching CRS. This may cause unexpected results.”  You can click OK and ignore this warning.

Finalizing the Hexbin Map

Now it’s time to symbolized the hexagon grid.  To do so, right click on the layer and select the properties menu option.

Select the Style menu option and then select “Graduated”  Select the column containing the point in polygon counts.  You can then select the color ramp colors and mode of breaks.  Hit the classify button to see the values.  To only show the cells that have a polygon count of 1 or more, adjust the first value groupings to start at 1.000.  Click on OK to symbolize your layer:

You now have a layer that shows point density as a hexbin map. The darker the blue, the more the points in within that hexagon.  Viewing a zoomed in area of the map shows where the clusters of GISP registrations are in this area of the United States.


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About the author
Caitlin Dempsey
Caitlin Dempsey is the editor of Geography Realm and holds a master's degree in Geography from UCLA as well as a Master of Library and Information Science (MLIS) from SJSU.

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