geodensityplot

Load a table containing cell tower data for California. Each table row represents a cell tower. The table variables include data about the cell towers, such as the latitude and longitude coordinates. Extract the latitude and longitude coordinates from the table.

load cellularTowers.mat
lat = cellularTowers.Latitude;
lon = cellularTowers.Longitude;

Create a density plot from the coordinates. By default, the geodensityplot function visualizes density by varying the transparency of the plot. Regions with high density are more opaque, and regions with low density are more transparent.

figure
geodensityplot(lat,lon)

Load a table containing cyclone track data. The table includes the locations and wind speeds of over 200 cyclones, measured at six-hour intervals. Extract the latitude coordinates, the longitude coordinates, and the wind speeds from the table.

load cycloneTracks.mat
lat = cycloneTracks.Latitude;
lon = cycloneTracks.Longitude;
windspeed = cycloneTracks.WindSpeed;

Create a density plot from the coordinates, and weight the points using the wind speeds. The resulting density plot highlights the areas where the cyclones have the highest wind speeds.

geodensityplot(lat,lon,windspeed)

This example uses modified RSMC Best Track Data from the Japan Meteorological Agency.

Load a table containing cell tower data for California. Each table row represents a cell tower. The table variables include data about the cell towers, such as the latitude and longitude coordinates. Extract the latitude and longitude coordinates from the table.

load cellularTowers.mat
lat = cellularTowers.Latitude;
lon = cellularTowers.Longitude;

Create a density plot from the coordinates. Specify the radius of influence for each point as 50 km.

geodensityplot(lat,lon,Radius=50e3)

By default, the geodensityplot function visualizes density by varying the transparency of the density plot. You can also visualize density by varying the plot colors.

Load a table containing cyclone track data. The table records the tracks of over 200 cyclones, measured at six-hour intervals. Extract the latitude and longitude coordinates from the table.

load cycloneTracks.mat
lat = cycloneTracks.Latitude;
lon = cycloneTracks.Longitude;

Create a density plot from the coordinates. Vary the plot colors by setting the FaceColor property to "interp".

geodensityplot(lat,lon,FaceColor="interp")

Change the colormap, and add a labeled color bar. When you do not weight the data, the units of the density plot are points per square meter. Note that the plot visualizes the density using both transparency and color.

colormap turbo
c = colorbar;
c.Label.String = "Data points per square meter";

This example uses modified RSMC Best Track Data from the Japan Meteorological Agency.