GeoDensityPlot

GeoDensityPlot[{loc₁val₁,loc₂val₂,…}]

makes a geo density plot with colors at the location loc_i determined by the value val_i.

GeoDensityPlot[locsvals]

uses a collection of locations locs with corresponding values vals.

Details and Options

GeoDensityPlot is also known as a heat map and thematic map.
GeoDensityPlot displays values at the given geo locations as smoothly varying colors over the map.
The geographic locations loc_i can be given in the following forms:
GeoPosition[{lat,lon}] latitude and longitude

Entity[…] geographic entity

Dated[ent,date] dated entity
Multiple locations locs can be given in the following forms:
{loc₁,loc₂,…} list of individual locations

GeoPosition[{pos₁,pos₂,…}] array of geo positions

EntityClass[…] class of geo entities
The values val_i can be given in the following forms:
val_i positive number

Quantity[val_i,unit] magnitude with units
Multiple values vals can be given in the following forms:
{val₁,val₂,…} list of individual values

QuantityArray[{val₁,val₂,…},unit] array of quantities
In GeoDensityPlot[data], data can be given in the following forms:

	<\|loc₁val₁,loc₂val₂,…\|>	association of keys and values
	GeoPosition[{{lat₁,lon₁,elev₁},…}]	geo positions with elevations as the values
	WeightedData[…]	positions with weights for values
	{{val₁₁,val₁₂,…},…}	gridded data with the geo range provided by DataRange

GeoDensityPlot has the same options as GeoGraphics, with the following additions and changes:

BoundaryStyle	None	how to draw RegionFunction boundaries
BoxRatios	Automatic	effective 3D bounding box ratios
ClippingStyle	None	how to draw values clipped by PlotRange
ColorFunction	Automatic	how to color the plot
ColorFunctionScaling	True	whether to scale the argument to ColorFunction
DataRange	Automatic	the range of lat and lon values to assume for data
InterpolationOrder	None	the polynomial degree in each variable of the interpolated density between data points
LightingAngle	None	effective angle of the simulated light source
MaxPlotPoints	Automatic	the maximum number of points to include
Mesh	None	how many mesh lines in each direction to draw
MeshFunctions	{#1&,#2&}	how to determine the placement of mesh lines
MeshStyle	Automatic	the style for mesh lines
Method	Automatic	the method to use for interpolation and data reduction
PerformanceGoal	$PerformanceGoal	aspects of performance to try to optimize
OpacityFunction	Automatic	how to compute the opacity at each point
PlotLegends	None	legends for color gradients
PlotTheme	$PlotTheme	overall theme for the plot
RegionFunction	(True&)	how to determine whether a point should be included
ScalingFunctions	None	how to scale individual coordinates

ColorFunction and OpacityFunction are supplied with a single argument, given by default by the scaled value of val_i.
Typical settings for OpacityFunction include:

	Automatic	automatically determined
	None	no opacity function, fully opaque
	α	constant opacity Opacity[α]
	Interval[…]	make values in the interval more opaque
	func	general opacity function

The arguments supplied to RegionFunction are lat, lon and val.
The value of region in RegionFunction->region can be an entity or geo polygon over which to plot.
DataRange takes a pair of geo locations to identify the latitude and longitude bounds for gridded values.

Examples

open allclose all

Basic Examples (4)

Plot data associated with geo locations:

Plot the temperature for cities near Austin, TX, with a legend:

Use a GeoPosition of locations with elevations around Crater Lake:

Plot gridded values over a specified range of coordinates:

Scope (12)

Data (7)

Use an Association with locations for keys and values for counts:

Use WeightedData:

Locations can be given as entities or geo positions:

GeoRange is selected automatically:

Use GeoRange to focus on geographic areas of interest:

Use MaxPlotPoints to limit the number of points used:

Use RegionFunction to restrict the density to a region:

Use discrete colors instead of smoothly shaded ones:

Presentation (5)

Add labels and legends:

Color the density by hue:

Use a different geographical projection:

Show the plot on a street map:

Use a satellite map:

Use a theme with bright contours on a relief map:

Options (55)

BoundaryStyle (3)

No boundary is used by default:

Use a red boundary around the edges:

Outline the region being plotted:

ColorFunction (2)

Color by scaled value:

Named color gradients color in the direction:

ColorFunctionScaling (1)

Color values below 300 blue, and other values red:

DataRange (1)

Specify latitude and longitude ranges for an array of values:

GeoBackground (2)

By default, geo density plots are shown on an unlabeled map:

Use a relief map of the world:

Use a satellite image instead:

GeoCenter (2)

Maps are automatically centered based on the data:

Specify a specific location for the center of the map:

GeoGridLines (2)

Overlay a map with geo grid lines using the default styling:

Draw geo grid lines at specific lines of latitude and longitude:

GeoGridLinesStyle (1)

Specify the overall geo grid line style:

GeoModel (2)

Use the default (ellipsoidal) model of the Earth:

Use the Moon as reference model:

GeoProjection (2)

Use GeoProjection to view the map in the Robinson projection:

Use the Bonne projection instead:

GeoRange (3)

The geographic region to show is automatically determined:

Specify the region to show:

Specify the corners of the geo range:

GeoRangePadding (4)

Use GeoRangePadding->None to remove padding:

Use 250 kilometers of padding on each side of the map:

Specify padding for latitude only:

Specify different padding on each side of the map:

GeoScaleBar (3)

Show the plot with a scale bar in metric units:

Show the plot with a scale bar in metric and imperial units:

Place the scale bar in the top-right corner:

GeoServer (2)

Use the Wolfram geo server to download map tiles:

Specify explicitly some of the parameters of the tile server:

GeoZoomLevel (2)

Explicitly specify GeoZoomLevel to obtain a lower-resolution map rendering:

Explicitly specify GeoZoomLevel to obtain a higher-resolution map rendering:

InterpolationOrder (2)

Contours are normally based on a linear interpolation of the data:

Use zero-order or piecewise constant interpolation:

MaxPlotPoints (2)

GeoDensityPlot normally uses all of the points in the dataset:

Limit the number of points used in each direction:

Mesh (1)

Use five mesh levels of val:

Use 25:

MeshFunctions (2)

Use mesh lines in the and directions:

Use mesh lines in the val direction:

MeshStyle (2)

Use red mesh lines:

Use red mesh lines in the direction and dashed mesh lines in the direction:

OpacityFunction (4)

The opacity is automatically varied to highlight areas in the data:

Use fully opaque colors:

Use constant 60% opacity:

Use increasing opacity for the lowest quartile and full opacity for the rest:

PerformanceGoal (2)

Generate a higher-quality plot:

Emphasize performance, possibly at the cost of quality:

PlotLegends (4)

No legend is used by default:

Include a legend:

Legends automatically use the same colors as the density plot:

Use Placed to change legend placement:

PlotTheme (1)

Use a theme with bright contours on a relief map:

Use a satellite map for the background:

RegionFunction (3)

Plot only certain ranges of values:

Plot over a region in and :

Use an entity region:

Applications (2)

Show gridded population density on a map:

Plot the strength of the Earth's geomagnetic field:

Properties & Relations (10)

Draw contours on a map with GeoContourPlot:

Use ListDensityPlot for general data:

Use GeoBubbleChart to show values with scaled bubbles:

Use GeoRegionValuePlot to show values with colored regions:

Use GeoHistogram to aggregate locations into bins:

Use GeoSmoothHistogram to generate smooth densities from locations:

Use GeoListPlot for individual locations:

Use GeoVectorPlot and GeoStreamPlot for vector fields:

Use GeoGraphValuePlot to show the values on geographic networks:

Plot relationships between geographic locations on a map:

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GeoDensityPlot

Details and Options

Examples

Basic Examples (4)