GeoContourPlot[{loc1val1,loc2val2,…}]
makes a geo contour plot from values vali defined at specified locations loci.
GeoContourPlot[locsvals]
uses a collection of locations locs with corresponding values vals.
GeoContourPlot
GeoContourPlot[{loc1val1,loc2val2,…}]
makes a geo contour plot from values vali defined at specified locations loci.
GeoContourPlot[locsvals]
uses a collection of locations locs with corresponding values vals.
Details and Options
- GeoContourPlot is also known as an isopleth map and thematic map.
- GeoContourPlot displays contour lines on a map where the fields of values interpolated from the geo locations are all the same.
- The geographic locations loci 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:
-
{reg1,reg2,…} list of individual locations GeoPosition[{pos1,pos2,…}] array of geo positions EntityClass[…] class of geo entities - The values vali can be given in the following forms:
-
vali positive number Quantity[vali,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 GeoContourPlot[data], data can be given in the following forms:
-
<|loc1val1,loc2val2,…|> association of keys and values GeoPosition[{{lat1,lon1,elev1},…}] geo positions with elevations as the values WeightedData[…] positions with weights for values - GeoContourPlot has the same options as GeoGraphics, with the following additions and changes: [List of all options]
-
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 ContourLabels Automatic how to label contour levels Contours Automatic how many or what contours to use ContourShading None how to shade regions between contours ContourStyle Automatic the style for contour lines 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 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 is supplied with a single argument, given by default by the scaled value of vali.
-
AlignmentPoint Center the default point in the graphic to align with AspectRatio Automatic ratio of height to width Axes False whether to draw axes AxesLabel None axes labels AxesOrigin Automatic where axes should cross AxesStyle {} style specifications for the axes Background None background color for the plot BaselinePosition Automatic how to align with a surrounding text baseline BaseStyle {} base style specifications for the graphic 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 ContentSelectable Automatic whether to allow contents to be selected ContourLabels Automatic how to label contour levels Contours Automatic how many or what contours to use ContourShading None how to shade regions between contours ContourStyle Automatic the style for contour lines CoordinatesToolOptions Automatic detailed behavior of the coordinates tool Epilog {} primitives rendered after the main plot FormatType TraditionalForm the default format type for text Frame False whether to put a frame around the plot FrameLabel None frame labels FrameStyle {} style specifications for the frame FrameTicks Automatic frame ticks FrameTicksStyle {} style specifications for frame ticks GeoBackground Automatic style specifications for the background GeoCenter Automatic center coordinates to use GeoGridLines None geographic grid lines to draw GeoGridLinesStyle Automatic style specifications for geographic grid lines GeoGridRange All projected coordinate range to include GeoGridRangePadding Automatic how much to pad the projected range GeoModel Automatic model of the Earth (or other body) to use GeoProjection Automatic projection to use GeoRange Automatic geographic area range to include GeoRangePadding Automatic how much to pad the geographic range GeoResolution Automatic average distance between background pixels GeoScaleBar None scale bar to display GeoServer Automatic specification of a tile server GeoZoomLevel Automatic zoom to use for geographic background GridLines None grid lines to draw GridLinesStyle {} style specifications for grid lines ImageMargins 0. the margins to leave around the graphic ImagePadding All what extra padding to allow for labels etc. ImageSize Automatic the absolute size at which to render the graphic InterpolationOrder None the polynomial degree in each variable of the interpolated density between data points LabelStyle {} style specifications for labels 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 MetaInformation {} meta-information about the map Method Automatic the method to use for interpolation and data reduction PerformanceGoal $PerformanceGoal aspects of performance to try to optimize PlotLabel None an overall label for the plot PlotLegends None legends for color gradients PlotRange All range of values to include PlotRangeClipping False whether to clip at the plot range PlotRangePadding Automatic how much to pad the range of values PlotRegion Automatic the final display region to be filled PlotTheme $PlotTheme overall theme for the plot PreserveImageOptions Automatic whether to preserve image options when displaying new versions of the same graphic Prolog {} primitives rendered before the main plot RasterSize Automatic raster dimensions for the background data RegionFunction (True&) how to determine whether a point should be included RotateLabel True whether to rotate y labels on the frame ScalingFunctions None how to scale individual coordinates Ticks Automatic axes ticks TicksStyle {} style specifications for axes ticks
List of all options
Examples
open all close allBasic Examples (1)
Generate a contour map from elevation data around Crater Lake:
elevations = GeoPosition[«1»];GeoContourPlot[elevations]Use a relief map of the elevations for the background:
GeoContourPlot[elevations, GeoBackground -> "ReliefMap"]Display the contours on a satellite image of the region:
GeoContourPlot[elevations, GeoBackground -> "Satellite", ContourStyle -> White]Scope (18)
Data (7)
Plot data associated with geo locations:
GeoContourPlot[IconizedObject[«locs»] -> IconizedObject[«vals»]]Plot gridded values over a specified range of coordinates:
GeoContourPlot[Table[lat + lon, {lat, 0, 90}, {lon, 0, 180}], DataRange -> {GeoPosition[{0, 0}], GeoPosition[{90, 180}]}]Use an Association with locations for keys and values for counts:
data = AssociationMap[AirTemperatureData, WeatherData[{["Ohio"]["Position"], 100}]];GeoContourPlot[data, ContourStyle -> Thick, GeoRange -> Entity["AdministrativeDivision", {"Ohio", "UnitedStates"}]]Use WeightedData:
data = WeightedData[CountryData["France", "LargestCities"], QuantityMagnitude[WeatherData[#, "Temperature"]]&]GeoContourPlot[data]GeoRange is selected automatically based on the data locations:
data = Association[Table[city -> city["Elevation"], {city, EntityList[EntityClass["City", {EntityProperty["City", "Country"] -> ["Spain"], EntityProperty["City", "Population"] -> TakeLargest[50]}]]}]];GeoContourPlot[data]Use GeoRange to focus on geographic areas of interest:
GeoContourPlot[data, GeoRange -> {{35, 44}, {-10, 3}}]Specify the number of contours to use:
GeoContourPlot[IconizedObject[«Crater lake elevations»], Contours -> 5]GeoContourPlot[IconizedObject[«Crater lake elevations»], Contours -> 10]Use RegionFunction to restrict the density to a region:
data = GeoPosition[{{39.42296329026445, 9.004551785001611, 209.1171605179111},
{39.45454274839568, 16.131855105644053, 402.83170734078647},
{45.27022173540008, 12.146380567416564, 42.62383013147054},
{44.25528138412038, 8.021506966616876, 1045.48 ... {46.04707442782128, 9.31842451325494, 699.8179114842161}, {45.6212605219361, 11.306547031915734,
197.15597908355818}, {37.866093881696365, 14.292310964966358, 783.2942556646558},
{40.18855517022835, 9.466724736719614, 694.9632840795464}}];GeoContourPlot[data, RegionFunction -> ["Italy"], ContourStyle -> Thick]Presentation (11)
Shade regions between contour lines:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, ColorFunction -> "SunsetColors"]GeoContourPlot[IconizedObject[«world elevations»], PlotLabel -> "World Elevations", ContourShading -> True, ColorFunction -> "SunsetColors", ColorFunctionScaling -> True]GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, ColorFunction -> Function[{z}, Hue[z]]]Use a different geographical projection:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, ColorFunction -> Function[{z}, Hue[z]], GeoProjection -> "LambertAzimuthal"]GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, ColorFunction -> "Rainbow", PlotLegends -> Placed[Automatic, Bottom]]Use specific colors between contours:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> Table[ColorData[33][i], {i, 1, 10}], Contours -> 9]Show the plot on a street map:
data = GeoPosition[«1»];GeoContourPlot[IconizedObject[«Spain elevations»], GeoBackground -> "StreetMap", ColorFunction -> "Rainbow"]GeoContourPlot[IconizedObject[«Spain elevations»], GeoBackground -> "Satellite"]GeoContourPlot[IconizedObject[«Crater lake elevations»], ContourLabels -> True, Contours -> 4, ContourShading -> True]Use specific colors between contours:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> Hue /@ Range[0.8, 0, -0.8 / 10], Contours -> 9]GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> Table[ColorData[30][i], {i, 1, 10}], Contours -> 9]Use different styles for the contours:
GeoContourPlot[IconizedObject[«Crater lake elevations»], ContourStyle -> {Red, Directive[Red, Thick]}]Use a theme with bright contours on a gray map:
GeoContourPlot[IconizedObject[«world elevations»], PlotTheme -> "Marketing"]Options (78)
AspectRatio (4)
By default, the ratio of the height to width for the plot is determined automatically:
GeoContourPlot[IconizedObject[«world elevations»]]Make the height the same as the width with AspectRatio1:
GeoContourPlot[IconizedObject[«world elevations»], AspectRatio -> 1]Use a numerical value to specify the height-to-width ratio:
GeoContourPlot[IconizedObject[«world elevations»], AspectRatio -> 1 / 3]AspectRatioFull adjusts the height and width to tightly fit inside other constructs:
map = GeoContourPlot[IconizedObject[«world elevations»], AspectRatio -> Full];{Framed[Pane[map, {200, 200}]], Framed[Pane[map, {100, 50}]]}Axes (4)
By default, Axes are not drawn for GeoContourPlot:
GeoContourPlot[IconizedObject[«world elevations»]]Use AxesTrue to turn on axes:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True]Use AxesOrigin to specify where the axes intersect:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesOrigin -> {50, 0}]Turn each axis on individually:
{GeoContourPlot[IconizedObject[«world elevations»], Axes -> {True, False}], GeoContourPlot[IconizedObject[«world elevations»], Axes -> {False, True}]}AxesLabel (3)
No axes labels are drawn by default:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True]GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesLabel -> y]GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesLabel -> {x, y}]AxesOrigin (2)
AxesStyle (4)
Change the style for the axes:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesStyle -> Red]Specify the style of each axis:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesStyle -> {{Thick, Brown}, {Thick, Blue}}]Use different styles for the ticks and the axes:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesStyle -> Green, TicksStyle -> Red]Use different styles for the labels and the axes:
GeoContourPlot[IconizedObject[«world elevations»], Axes -> True, AxesStyle -> Green, LabelStyle -> Red]BoundaryStyle (2)
ColorFunction (2)
ColorFunctionScaling (1)
ContourLabels (1)
Contours (7)
Use 4 equally spaced contours:
GeoContourPlot[IconizedObject[«world elevations»], Contours -> 4]Use automatic contour selection:
GeoContourPlot[IconizedObject[«world elevations»], Contours -> Automatic]Use at most 3 automatically selected contours:
GeoContourPlot[IconizedObject[«world elevations»], Contours -> {Automatic, 3}]GeoContourPlot[IconizedObject[«world elevations»], Contours -> {250, 500}]Use specific contours with specific styles:
GeoContourPlot[IconizedObject[«world elevations»], Contours -> {{250, Thick}, {500, Directive[Thick, Red]}}]Use a function to generate a set of contours:
GeoContourPlot[IconizedObject[«world elevations»], Contours -> Function[{min, max}, Range[min, max, 1000]]]Have contours at the 20th- and 80th-percentile values:
GeoContourPlot[IconizedObject[«Crater lake elevations»], Contours -> Function[{min, max}, Rescale[{0.2, 0.8}, {0, 1}, {min, max}]]]ContourShading (3)
The automatic shading is None to only show the contour lines:
GeoContourPlot[IconizedObject[«world elevations»]]Shade between contours using a color function:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, ColorFunction -> "Rainbow"]Use an explicit list of colors between contours:
GeoContourPlot[IconizedObject[«world elevations»], Contours -> 3, ContourShading -> {Red, Orange, Yellow, White}]ContourStyle (4)
GeoContourPlot[IconizedObject[«world elevations»], ContourStyle -> Red]The default contour style for data with elevations and a relief map GeoBackground is a black line for values above the sea level and a white line for values below:
GeoContourPlot[IconizedObject[«world elevations»], ContourStyle -> Automatic, GeoBackground -> "ReliefMap"]The default contour style for data with elevations and a satellite map GeoBackground is a gray line:
GeoContourPlot[IconizedObject[«world elevations»], ContourStyle -> Automatic, GeoBackground -> "Satellite"]Use None to not show contour lines:
GeoContourPlot[IconizedObject[«world elevations»], ContourStyle -> None, ContourShading -> True]Alternate between red and dashed contour lines:
GeoContourPlot[IconizedObject[«Crater lake elevations»], ContourStyle -> {Red, Dashed}]GeoContourPlot[IconizedObject[«Crater lake elevations»], ContourStyle -> Directive[Red, Thick]]Frame (4)
GeoContourPlot does not use a frame by default:
GeoContourPlot[IconizedObject[«world elevations»]]Use FrameTrue to draw a frame around the plot:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True]Draw a frame on the left and right edges:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> {{True, True}, {False, False}}]Draw a frame on the left and bottom edges:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> {{True, False}, {True, False}}]FrameLabel (4)
Place a label along the bottom frame of a plot:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True, FrameLabel -> {"label"}]Frame labels are placed on the bottom and left frame edges by default:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True, FrameLabel -> {"latitude", "longitude"}]Place labels on each of the edges in the frame:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True, FrameLabel -> {{"left", "right"}, {"bottom", "top"}}]Use a customized style for both labels and frame tick labels:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True, FrameLabel -> {{"left", "right"}, {"bottom", "top"}}, LabelStyle -> Directive[Bold, StandardBrown]]FrameStyle (2)
Specify the style of the frame:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True, FrameStyle -> Directive[StandardGray, Thick]]Specify the style for each frame edge:
GeoContourPlot[IconizedObject[«world elevations»], Frame -> True, FrameStyle -> {{Directive[StandardBrown, Thick], Red}, {Directive[StandardGray, Thick], Blue}}]GeoBackground (2)
By default, geo contour plots are shown on an unlabeled map:
GeoContourPlot[IconizedObject[«world elevations»]]Show contours on different background maps:
Table[Labeled[GeoContourPlot[IconizedObject[«World elevations»], GeoBackground -> gb], gb], {gb, {"ReliefMap", "Satellite"}}]GeoCenter (1)
GeoGridLines (1)
GeoGridLinesStyle (1)
Specify the overall geo grid line style:
GeoContourPlot[IconizedObject[«world elevations»], GeoGridLines -> Automatic, GeoGridLinesStyle -> Opacity[0.5, Blue]]GeoContourPlot[IconizedObject[«world elevations»], GeoProjection -> "Albers", GeoGridLines -> Automatic, GeoGridLinesStyle -> Dotted]GeoModel (2)
Use the default (ellipsoidal) model of the Earth:
GeoContourPlot[IconizedObject[«world elevations»]]Use the Moon as a reference model:
moonelevations = GeoElevationData[RandomGeoPosition[10000], Automatic, "GeoPosition", GeoZoomLevel -> 6, GeoModel -> "Moon"];GeoContourPlot[moonelevations, GeoModel -> Entity["PlanetaryMoon",
"Moon"], ContourStyle -> White]GeoProjection (1)
Use GeoProjection to change the map projection:
Table[GeoContourPlot[IconizedObject[«world elevations»], GeoProjection -> g, PlotLabel -> g], {g, {"Equirectangular", "CylindricalEqualArea", "Bonne", "Mollweide"}}]GeoRange (1)
The geographic region to show is automatically determined:
GeoContourPlot[IconizedObject[«world elevations»]]GeoContourPlot[IconizedObject[«world elevations»], GeoRange -> Entity["GeographicRegion", "Europe"]]Specify the corners of the geo range:
GeoContourPlot[IconizedObject[«world elevations»], GeoRange -> {{35, 60}, {-10, 30}}]GeoRangePadding (1)
Use 250 kilometers of padding on each side of the map:
GeoContourPlot[IconizedObject[«Spain elevations»], GeoRangePadding -> Quantity[250, "Kilometers"]]Specify padding for latitude only:
GeoContourPlot[IconizedObject[«Spain elevations»], GeoRangePadding -> {Quantity[250, "Kilometers"], None}]Specify different padding on each side of the map:
GeoContourPlot[IconizedObject[«Spain elevations»], GeoRangePadding -> {{None, Quantity[250, "Kilometers"]}, {Quantity[300, "Kilometers"], Quantity[350, "Kilometers"]}}]GeoContourPlot[IconizedObject[«Spain elevations»], GeoRangePadding -> Quantity[-80, "Kilometers"]]GeoScaleBar (1)
Show the plot with a scale bar in metric units:
GeoContourPlot[IconizedObject[«world elevations»], GeoScaleBar -> "Metric"]Show the plot with a scale bar in metric and imperial units:
GeoContourPlot[IconizedObject[«world elevations»], GeoScaleBar -> Placed[{"Imperial", "Metric"}, {Right, Top}]]Place the scale bar in the top-right corner:
GeoContourPlot[IconizedObject[«world elevations»], GeoScaleBar -> Placed["Metric", {Right, Top}]]GeoServer (1)
Use the Wolfram geo server to download map tiles:
GeoContourPlot[IconizedObject[«world elevations»], GeoServer -> "http://a.tile.openstreetmap.org/`1`/`2`/`3`.png"]Specify explicitly some of the parameters of the tile server:
GeoContourPlot[IconizedObject[«world elevations»], GeoServer -> {"https://basemap.nationalmap.gov/arcgis/rest/services/USGSHydroCached/MapServer/tile/`1`/`3`/`2`", "Projection" -> "Mercator", "TileSize" -> 256, "ZoomRange" -> {1, 18}}]GeoZoomLevel (1)
Explicitly specify GeoZoomLevel to obtain a lower-resolution map rendering:
GeoContourPlot[IconizedObject[«Spain elevations»], GeoZoomLevel -> 1]Explicitly specify GeoZoomLevel to obtain a higher-resolution map rendering:
GeoContourPlot[IconizedObject[«Spain elevations»], GeoZoomLevel -> 4]MaxPlotPoints (2)
Limit the number of points used in each direction:
GeoContourPlot[IconizedObject[«Spain elevations»], MaxPlotPoints -> 10, Mesh -> All]MaxPlotPoints imposes a regular grid on irregular data:
GeoContourPlot[IconizedObject[«Norway elevations»], MaxPlotPoints -> 5, Mesh -> All]Mesh (1)
MeshFunctions (1)
MeshStyle (2)
GeoContourPlot[IconizedObject[«world elevations»], MeshStyle -> Red, Mesh -> 5, MeshFunctions -> {#1&, #2&}]Use red mesh lines in the
direction and dashed mesh lines in the
direction:
GeoContourPlot[IconizedObject[«world elevations»], MeshStyle -> {Red, Dashed}, Mesh -> 5, MeshFunctions -> {#1&, #2&}]PerformanceGoal (2)
Generate a higher-quality plot:
Timing[GeoContourPlot[IconizedObject[«world elevations»], PerformanceGoal -> "Quality"]]Emphasize performance, possibly at the cost of quality:
Timing[GeoContourPlot[IconizedObject[«world elevations»], PerformanceGoal -> "Speed"]]PlotLegends (6)
No legend is used, by default:
GeoContourPlot[IconizedObject[«world elevations»]]Include a legend for shaded contours:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, PlotLegends -> Automatic]Legends automatically use the same colors as the density plot:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, ColorFunction -> "Rainbow", PlotLegends -> Automatic]Use Placed to change legend placement:
GeoContourPlot[IconizedObject[«Spain elevations»], ContourShading -> True, PlotLegends -> Placed[Automatic, Below]]Use BarLegend to customize the legend:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, PlotLegends -> Placed[BarLegend[Automatic, LegendMargins -> {{0, 0}, {10, 5}}, LegendLabel -> "z-value", LabelStyle -> {Italic, FontFamily -> "Helvetica"}], Above]]Legends automatically select shaded contours to label:
GeoContourPlot[IconizedObject[«world elevations»], ContourShading -> True, PlotLegends -> Automatic]PlotTheme (1)
RegionFunction (3)
GeoContourPlot[IconizedObject[«world elevations»], RegionFunction -> Function[{lat, lon, z}, z < 500]]GeoContourPlot[IconizedObject[«world elevations»], RegionFunction -> Function[{lat, lon, z}, Power[lat, 2] + Power[lon, 2] ≤ 8000]]GeoContourPlot[IconizedObject[«world elevations»], RegionFunction -> ["asia"]]Applications (2)
Show contour elevations on a disk of 5 kilometers centered on the Old Faithful geyser in Yellowstone National Park:
coords = RandomGeoPosition[GeoDisk[GeoPosition[{44.4605, -110.828}], ["5 km"]], 2000];elevations = GeoElevationData[coords, Automatic, "GeoPosition"];GeoContourPlot[elevations, ColorFunction -> "SouthwestColors", ContourShading -> True, GeoBackground -> "Satellite", Contours -> 30, InterpolationOrder -> 4]Generate a contour map of temperatures in the United States:
temperatures = DeleteMissing@Association[# -> WeatherData[#, "Temperature"]& /@ Thread[RandomGeoPosition[["USA"], 500]]];GeoContourPlot[temperatures, ColorFunction -> "TemperatureMap", RegionFunction -> ["USA"], Contours -> 12, ContourShading -> True, InterpolationOrder -> 5]Properties & Relations (10)
Draw contours through general data with ListContourPlot:
ListContourPlot[IconizedObject[«data»]]Smoothly shade a map using color with GeoDensityPlot:
GeoDensityPlot[IconizedObject[«locs»] -> IconizedObject[«vals»]]Use GeoBubbleChart to show values with scaled bubbles:
states = EntityValue[EntityClass["AdministrativeDivision", "USStatesAllStates"], EntityFunction[e, {e, e["Population"]}]];GeoBubbleChart[states]Use GeoRegionValuePlot to show values with colored regions:
states = EntityValue[EntityClass["AdministrativeDivision", "USStatesAllStates"], EntityFunction[e, {e, e["Population"]}]];GeoRegionValuePlot[states]Use GeoHistogram to aggregate locations into bins:
pts = RandomGeoPosition[["US"], 500];GeoHistogram[pts, "AdministrativeDivision1"]Use GeoSmoothHistogram to generate smooth densities from locations:
pts = RandomGeoPosition[["US"], 500];GeoSmoothHistogram[pts]Use GeoListPlot for individual locations:
GeoListPlot[RandomGeoPosition[["Italy"], 500]]Use GeoVectorPlot and GeoStreamPlot for vector fields:
vecs = GeoVectorENU[GeoPosition[{{41.72044646550199, -97.44319222116899},
{46.35277665685431, -111.4315456426783}, {38.869826216010324, -106.10009940692615},
{31.787574043650135, -96.48279364395346}, {39.852469082609225, -93.15525687634982},
... 25157985637201197},
{0.4901023278760972, 0.9891989981823661}, {0.8720928861484118, 0.30133102014639235},
{-0.9277032216653329, -0.5872478295734753}, {0.947583037831254, -0.6748021812104095},
{-0.6838608673381241, 0.12312620699389898}}];{GeoVectorPlot[vecs], GeoStreamPlot[vecs]}Use GeoGraphValuePlot to show the values on geographic networks:
GeoGraphValuePlot[{{Entity["City", {"Rome", "Lazio", "Italy"}], Entity["City", {"Milan", "Lombardy", "Italy"}], 2.2}, {Entity["City", {"Milan", "Lombardy", "Italy"}], Entity["City", {"Paris", "IleDeFrance", "France"}], 2.4}, {Entity["City", {"Milan", "Lombardy", "Italy"}], Entity["City", {"Frankfurt", "Hesse", "Germany"}], 5}, {Entity["City", {"Paris", "IleDeFrance", "France"}], Entity["City", {"Frankfurt", "Hesse", "Germany"}], 3.2}, {Entity["City", {"Paris", "IleDeFrance", "France"}], Entity["City", {"Madrid", "Madrid", "Spain"}], 4.3}, {Entity["City", {"Paris", "IleDeFrance", "France"}], Entity["City", {"London", "GreaterLondon", "UnitedKingdom"}], 3.3}, {Entity["City", {"Madrid", "Madrid", "Spain"}], Entity["City", {"Seville", "Seville", "Spain"}], 3.6}, {Entity["City", {"Madrid", "Madrid", "Spain"}], Entity["City", {"Barcelona", "Barcelona", "Spain"}], 1.8}}]Plot relationships between geographic locations on a map:
GeoGraphPlot[IconizedObject[«nearest US cities»]]See Also
GeoDensityPlot GeoRegionValuePlot GeoSmoothHistogram GeoVectorPlot GeoStreamPlot GeoGraphPlot ListContourPlot GeoBubbleChart GeoListPlot GeoGraphics
Function Repository: RidgeLineMap
Related Guides
History
Text
Wolfram Research (2020), GeoContourPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/GeoContourPlot.html.
CMS
Wolfram Language. 2020. "GeoContourPlot." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/GeoContourPlot.html.
APA
Wolfram Language. (2020). GeoContourPlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/GeoContourPlot.html
BibTeX
@misc{reference.wolfram_2026_geocontourplot, author="Wolfram Research", title="{GeoContourPlot}", year="2020", howpublished="\url{https://reference.wolfram.com/language/ref/GeoContourPlot.html}", note=[Accessed: 13-June-2026]}
BibLaTeX
@online{reference.wolfram_2026_geocontourplot, organization={Wolfram Research}, title={GeoContourPlot}, year={2020}, url={https://reference.wolfram.com/language/ref/GeoContourPlot.html}, note=[Accessed: 13-June-2026]}