--- title: "GeoRegionValuePlot" language: "en" type: "Symbol" summary: "GeoRegionValuePlot[{reg1 -> val1, reg2 -> val2, ...}] generates a plot in which the geographic regions regi are colored according to the values vali. GeoRegionValuePlot[regions -> values] uses a collection of regions regi from regions with corresponding values vali from values. GeoRegionValuePlot[region -> prop] generates a plot in which the geographic subdivisions in region are colored according to the values EntityValue[..., prop]. GeoRegionValuePlot[data] generates a plot using the data available in data." keywords: - chloropleth - heat map - geo map - geomap - heatmap - social geography - social cartography - shaded map - dasymetric map canonical_url: "https://reference.wolfram.com/language/ref/GeoRegionValuePlot.html" source: "Wolfram Language Documentation" related_guides: - title: "Geographic Visualization" link: "https://reference.wolfram.com/language/guide/GeoVisualization.en.md" - title: "Geographic Data & Entities" link: "https://reference.wolfram.com/language/guide/GeographicData.en.md" - title: "Maps & Cartography" link: "https://reference.wolfram.com/language/guide/MapsAndCartography.en.md" - title: "Charting and Information Visualization" link: "https://reference.wolfram.com/language/guide/ChartingAndInformationVisualization.en.md" - title: "Data Visualization" link: "https://reference.wolfram.com/language/guide/DataVisualization.en.md" --- # GeoRegionValuePlot GeoRegionValuePlot[{reg1 -> val1, reg2 -> val2, …}] generates a plot in which the geographic regions regi are colored according to the values vali. GeoRegionValuePlot[regions -> values] uses a collection of regions regi from regions with corresponding values vali from values. GeoRegionValuePlot[region -> prop] generates a plot in which the geographic subdivisions in region are colored according to the values EntityValue[…, prop]. GeoRegionValuePlot[data] generates a plot using the data available in data. ## Details and Options * ``GeoRegionValuePlot`` is also known as a chloropleth map, shaded map and a thematic map. * ``GeoRegionValuePlot`` uses color to associate numeric values with regions on a map. [image] * By default, ``GeoRegionValuePlot`` outlines and shades the specified regions over an unlabeled street map. * The geographic regions ``regi`` can be given in the following forms: | | | | ----------------------- | ----------------------- | | GeoPosition[{lat, lon}] | latitude and longitude | | Entity[…] | geographic entity | | Dated[ent, date] | dated entity | | GeoGroup[{…}] | grouped set of entities | | Polygon, GeoDisk, … | geographic regions | * Multiple regions ``regions`` can be given in the following forms: | | | | ---------------------------- | -------------------------- | | {reg1, reg2, …} | list of individual regions | | 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 | | RGBColor[…], Hue[…], … | specific color | * Multiple values ``values`` can be given in the following forms: | | | | ------------------------------------ | -------------------------- | | {val1, val2, …} | list of individual regions | | QuantityArray[{val1, val2, …}, unit] | array of quantities | * The data ``datai`` for ``GeoRegionValuePlot`` can be given in the following forms: | | | | ------------------------- | ----------------------------------------- | | {e1, e2, …} | list of elements with or without wrappers | | <\|k1 -> e1, k2 -> e2, …\|> | association of keys and values | | WeightedData[…] | positions with weights for values | | w[{e1, e2, …}, …] | wrapper applied to a whole dataset | | w[{data1, data1, …}, …] | wrapper applied to all datasets | * In ``GeoRegionValuePlot[region -> "prop"]``, region can be given in the following forms: | | | | --------------- | ------------------------------------------------- | | Entity[…] | an entity containing further divisons of entities | | EntityClass[…] | a class of entities | | {ent1, ent2, …} | a list of entities | * The following wrappers can be used for chart elements: | | | | -------------------- | ---------------------------------------------------------- | | Annotation[e, label] | provide an annotation | | Button[e, action] | define an action to execute when the element is clicked | | EventHandler[e, …] | define a general event handler for the element | | Hyperlink[e, uri] | make the element act as a hyperlink | | Labeled[e, …] | display the element with labeling | | Legended[e, …] | include features of the element in a chart legend | | PopupWindow[e, cont] | attach a popup window to the element | | StatusArea[e, label] | display in the status area when the element is moused over | | Style[e, opts] | show the element using the specified styles | | Tooltip[e, label] | attach an arbitrary tooltip to the element | * Data not given in these forms is ignored in forming the plot. * ``GeoRegionValuePlot`` takes the same options as ``GeoGraphics``, with the following additions and changes: [] | | | | | --------------------- | --------- | -------------------------------------------------- | | ClippingStyle | Automatic | how to color regi if vali are not in PlotRange | | ColorFunction | Automatic | how to translate numerical values into colors | | ColorFunctionBinning | None | whether to bin values into discrete colors | | ColorFunctionScaling | True | whether to scale arguments to ColorFunction | | ColorRules | Automatic | specify color rules for explicit values | | GeoLabels | None | whether and how to add labels to the loci | | LabelingSize | Automatic | maximum size of callouts and labels | | LabelStyle | Automatic | graphics directives to determine style of labels | | MissingStyle | Automatic | how to display regi if vali are missing or invalid | | PlotLegends | Automatic | how the legend will appear | | PlotMarkers | Automatic | how to mark very small locations | | PlotRange | All | the range of values to display | | PlotStyle | Automatic | graphics directives to determine style of the loci | | ScalingFunctions | None | how to scale individual values | | TargetUnits | Automatic | specify units to use in the legend | * ``ColorFunctionBinning -> bin`` specifies how to bin the values into discrete groups for computing colors. * Possible settings for ``bin`` are: | | | | ----------------- | ----------------------------------------------------- | | None | use a continuous set of colors | | Automatic | automatically determine the bins | | n | use n color bins | | "KMeans" | use the k-means clustering algorithm to find the bins | | "Quantile" | use quantiles to compute the bins | | {d} | use bins with width d | | {min, max, d} | use bins from min to max with width d | | {{b1, b2, …, bn}} | use specific break points bi to separate the bins | | {"name", n} | use a named specification with n bins | * The following settings for ``GeoLabels`` can be used: | | | | --------- | ----------------------------------- | | Automatic | add text labels to graphical output | | None | add no labels | | func | apply the function func | * ``PlotMarkers`` can take the following forms: | | | | ----------------- | -------------------------------------------- | | Automatic | automatically chosen plot markers | | Polygon | use polygons | | Point | use points | | GeoMarker | use geo markers | | "OpenMarkers" | open shapes | | g | markers consisting of copies of expression g | | {g, s} | expression g at size s | | {Automatic, spec} | automatic marker with fallback spec | | {Polygon, spec} | polygon with fallback spec | * With ``PlotMarkers -> Automatic``, polygons are used to show entity regions. A point will be used instead if no polygon is available. * The arguments supplied to functions in ``GeoLabels`` are ``graphicsi``, ``regi``, ``EntityValue[regi, "Position"]`` and ``vali``, where ``graphicsi`` is the ``Graphics`` or ``GeoGraphics`` object that marks ``regi``, by default either a ``Point`` or a ``Polygon``. * The following settings for ``PlotRange`` can be used: | | | | ---------- | ---------------------------------------------- | | Automatic | range includes all of the vali | | max | range includes all of the vali less than max | | {min, max} | range includes all of the vali from min to max | ### List of all options | | | | | ---------------------- | --------------- | ---------------------------------------------------------------------------------- | | 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 | | ClippingStyle | Automatic | how to color regi if vali are not in PlotRange | | ColorFunction | Automatic | how to translate numerical values into colors | | ColorFunctionBinning | None | whether to bin values into discrete colors | | ColorFunctionScaling | True | whether to scale arguments to ColorFunction | | ColorRules | Automatic | specify color rules for explicit values | | ContentSelectable | Automatic | whether to allow contents to be selected | | 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 | | GeoLabels | None | whether and how to add labels to the loci | | 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 | | LabelingSize | Automatic | maximum size of callouts and labels | | LabelStyle | Automatic | graphics directives to determine style of labels | | MetaInformation | {} | meta-information about the map | | Method | Automatic | details of graphics methods to use | | MissingStyle | Automatic | how to display regi if vali are missing or invalid | | PlotLabel | None | an overall label for the plot | | PlotLegends | Automatic | how the legend will appear | | PlotMarkers | Automatic | how to mark very small locations | | PlotRange | All | the range of values to display | | 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 | | PlotStyle | Automatic | graphics directives to determine style of the loci | | 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 | | RotateLabel | True | whether to rotate y labels on the frame | | ScalingFunctions | None | how to scale individual values | | TargetUnits | Automatic | specify units to use in the legend | | Ticks | Automatic | axes ticks | | TicksStyle | {} | style specifications for axes ticks | --- ## Examples (117) ### Basic Examples (1) A plot comparing some countries in Europe: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Germany"] -> 2.2, Entity["Country", "UnitedKingdom"] -> 3, Entity["Country", "Norway"] -> 4.5}] Out[1]= [image] ``` ### Scope (41) #### General Data (4) Use quantities with units as values: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Japan"] -> Quantity[5.2, "BarrelsOfOil"], Entity["Country", "SouthKorea"] -> Quantity[22.1, "BarrelsOfOil"], Entity["Country", "China"] -> Quantity[32.4, "BarrelsOfOil"], Entity["Country", "Philippines"] -> Quantity[12.5, "BarrelsOfOil"]}] Out[1]= [image] ``` --- Plot an association: ```wl In[1]:= GeoRegionValuePlot[<|Entity["Country", "Albania"] -> 2.4, Entity["Country", "Romania"] -> 1.2, Entity["Country", "Poland"] -> 3, Entity["Country", "Estonia"] -> 4.5|>] Out[1]= [image] ``` --- Use a derived list of entities in the left-hand side of a rule: ```wl In[1]:= GeoRegionValuePlot[EntityList@Entity["AdministrativeDivision", {EntityProperty["AdministrativeDivision", "ParentRegion"] -> Entity["Country", "China"]}] -> "Population"] Out[1]= [image] ``` --- Color all the subentities of an ``EntityClass`` : ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "MerchantShips"] Out[1]= [image] ``` #### Special Data (7) Use ``GeoDisk`` as region: ```wl In[1]:= GeoRegionValuePlot[{GeoDisk[Entity["City", {"NewYork", "NewYork", "UnitedStates"}], Quantity[30, "Miles"]] -> 1, GeoDisk[Entity["City", {"Boston", "Massachusetts", "UnitedStates"}], Quantity[50, "Miles"]] -> 2.5, GeoDisk[Entity["City", {"Washington", "DistrictOfColumbia", "UnitedStates"}], Quantity[40, "Miles"]] -> 3.5, GeoDisk[Entity["City", {"Philadelphia", "Pennsylvania", "UnitedStates"}]] -> 5}] Out[1]= [image] ``` --- Use ``Polygon`` as region: ```wl In[1]:= GeoRegionValuePlot[{Polygon[{GeoPosition[{35, -110}], GeoPosition[{45, -100}], GeoPosition[{35, -90}]}] -> 4.5, Polygon[{GeoPosition[{55, -100}], GeoPosition[{65, -90}], GeoPosition[{55, -80}]}] -> 1.5, Polygon[{GeoPosition[{45, -105}], GeoPosition[{45, -85}], GeoPosition[{55, -80}]}] -> 3.5}] Out[1]= [image] ``` --- Use geo primitives: ```wl In[1]:= GeoRegionValuePlot[{GeoHemisphere[Here] -> 1, GeoVisibleRegion[{0, 0, 1000000}] -> 5}] Out[1]= [image] ``` --- Use ``GeoGroup`` : ```wl In[1]:= GeoRegionValuePlot[{GeoGroup[{Entity["Country", "France"], Entity["Country", "Spain"]}] -> 1, GeoGroup[{Entity["Country", "Hungary"], Entity["Country", "Germany"]}] -> 3, Entity["Country", "Italy"] -> 5}] Out[1]= [image] ``` --- Use quantities with units as values: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Japan"] -> Quantity[5.2, "BarrelsOfOil"], Entity["Country", "SouthKorea"] -> Quantity[22.1, "BarrelsOfOil"], Entity["Country", "China"] -> Quantity[32.4, "BarrelsOfOil"], Entity["Country", "Philippines"] -> Quantity[12.5, "BarrelsOfOil"]}] Out[1]= [image] ``` --- Use ``QuantityArray`` for the values: ```wl In[1]:= countries = EntityClass["Country", "SouthAmerica"]; populationdensity = QuantityArray[EntityValue[countries, "PopulationDensity"]] Out[1]= QuantityArray[StructuredArray`StructuredData[{14}, {{16.3630791211281, 10.6278057786393, 25.2507757706858, 25.4891988508901, 45.3712870662461, 69.9535231116122, 0.277074774034511, 3.53799270072993, 3.97650495300991, 17.731283664737, 25.3987984375, 3.7266858974359, 19.779059536053, 32.3290391701151}, "People"/"Kilometers"^2, {{1}}}]] In[2]:= GeoRegionValuePlot[countries -> populationdensity] Out[2]= [image] ``` --- Mix cities and countries and use explicit colors: ```wl In[1]:= GeoRegionValuePlot[{\[FreeformPrompt]["Ilmenau"] -> RGBColor[0.17, 0.71, 0.6], \[FreeformPrompt]["Spain"] -> RGBColor[0, 0, 1], \[FreeformPrompt]["Germany"] -> RGBColor[0.88, 1, 0.88], \[FreeformPrompt]["France"] -> RGBColor[0.7, 0.9, 0.4]}] Out[1]= [image] ``` #### Data Wrappers (5) Wrap a ``Tooltip`` on data: ```wl In[1]:= GeoRegionValuePlot[{Tooltip[Entity["AdministrativeDivision", {"Illinois", "UnitedStates"}] -> 10, Blue], Entity["AdministrativeDivision", {"Iowa", "UnitedStates"}] -> 19.8, Entity["AdministrativeDivision", {"Minnesota", "UnitedStates"}] -> 5, Entity["AdministrativeDivision", {"Wisconsin", "UnitedStates"}] -> 15}] Out[1]= [image] ``` --- Override the default tooltips: ```wl In[1]:= GeoRegionValuePlot[{Entity["AdministrativeDivision", {"NewJersey", "UnitedStates"}] -> 150, Tooltip[Entity["City", {"NewYork", "NewYork", "UnitedStates"}] -> 200, "New York"]}] Out[1]= [image] ``` --- Use any object in the tooltip: ```wl In[1]:= data = Table[Tooltip[c -> c["GDP"], c["Flag"]], {c, CountryData["G7"]}]; In[2]:= GeoRegionValuePlot[data] Out[2]= [image] ``` --- Wrap ``Style``, ``StatusArea`` and ``Button`` : ```wl In[1]:= GeoRegionValuePlot[{Style[Entity["AdministrativeDivision", {"Illinois", "UnitedStates"}] -> 10, Blue], StatusArea[Entity["AdministrativeDivision", {"Iowa", "UnitedStates"}], "Iowa"] -> 19.8, Button[Entity["AdministrativeDivision", {"Minnesota", "UnitedStates"}], Print["Minessota"]] -> 5, Tooltip[Entity["AdministrativeDivision", {"Wisconsin", "UnitedStates"}], "Wisconsin"] -> 15}] Out[1]= [image] ``` --- Nest wrappers: ```wl In[1]:= GeoRegionValuePlot[{StatusArea[Tooltip[Entity["Country", "Spain"], "This is Spain"], "Spain"] -> 1, Button[Tooltip[Entity["Country", "France"], "This is France"], Print["France"]] -> 5, Tooltip[Style[Entity["Country", "Germany"], Blue], "This is Germany"] -> 2.5}] Out[1]= [image] ``` #### Labeling and Legending (3) Automatically add the names of the specified locations as labels: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Spain"] -> 1.5, Entity["Country", "Italy"] -> 4.5, Entity["Country", "France"] -> 2.2}, GeoLabels -> True] Out[1]= [image] ``` --- Add custom labels for regions: ```wl In[1]:= GeoRegionValuePlot[{Labeled[Entity["Country", "Spain"], "España", Center] -> 1.5, Entity["Country", "Italy"] -> 4.5, Entity["Country", "France"] -> 2.2}] Out[1]= [image] ``` --- Use tooltips to show multiple pieces of information: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Bulgaria"], Entity["Country", "Romania"], Entity["Country", "Turkey"], Entity["Country", "Greece"], Entity["Country", "Italy"], Entity["Country", "Spain"]} -> "Population", GeoLabels -> (Tooltip[#1, Row[{#2, ": ", #4, ", ", EntityValue[#2, "ReligionsFractions"]}]]&)] Out[1]= [image] ``` #### Presentation (22) Color regions using an existing color scheme: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", ColorFunction -> "TemperatureMap"] Out[1]= [image] ``` --- Use equally sized bins for coloring the map: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", ColorFunctionBinning -> Automatic] Out[1]= [image] ``` Use a clustering algorithm to compute the bins: ```wl In[2]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", ColorFunctionBinning -> "KMeans"] Out[2]= [image] ``` --- Mark locations with a special character: ```wl In[1]:= GeoRegionValuePlot[{Entity["AdministrativeDivision", {"Ontario", "Canada"}] -> 19, Entity["City", {"Albany", "NewYork", "UnitedStates"}] -> 1, Entity["City", {"NewYork", "NewYork", "UnitedStates"}] -> 8, Entity["City", {"Buffalo", "NewYork", "UnitedStates"}] -> 11}, PlotMarkers -> Style["♜", 20], GeoBackground -> GeoStyling["ReliefMap"]] Out[1]= [image] ``` --- Mark locations with a ``GeoMarker`` : ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Madrid", "Madrid", "Spain"}] -> 31, Entity["Country", "Andorra"] -> 45, Entity["City", {"Rome", "Lazio", "Italy"}] -> 20, Entity["Country", "Switzerland"] -> 16, Entity["City", {"Frankfurt", "Hesse", "Germany"}] -> 24, Entity["City", {"Paris", "IleDeFrance", "France"}] -> 5}, PlotMarkers -> GeoMarker] Out[1]= [image] ``` --- For default, all regions are shown: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population"] Out[1]= [image] ``` --- Show points for small regions: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", PlotMarkers -> {Automatic, Point}] Out[1]= [image] ``` --- Show polygons of all regions with a ``Polygon`` property: ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Madrid", "Madrid", "Spain"}] -> 31, Entity["Country", "Andorra"] -> 45, Entity["City", {"Rome", "Lazio", "Italy"}] -> 20, Entity["Country", "Switzerland"] -> 16, Entity["City", {"Frankfurt", "Hesse", "Germany"}] -> 24, Entity["City", {"Paris", "IleDeFrance", "France"}] -> 5}, PlotMarkers -> Polygon] Out[1]= [image] ``` --- Show polygons for extended regions and ``GeoMarker`` for small regions or with no ``Polygon`` property: ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Madrid", "Madrid", "Spain"}] -> 31, Entity["Country", "Andorra"] -> 45, Entity["City", {"Rome", "Lazio", "Italy"}] -> 20, \[FreeformPrompt]["switzerland"] -> 16, Entity["City", {"Frankfurt", "Hesse", "Germany"}] -> 24, Entity["City", {"Paris", "IleDeFrance", "France"}] -> 5}, PlotMarkers -> {Polygon, GeoMarker}] Out[1]= [image] ``` --- Show ``Tiny`` ``"OpenMarkers"`` for small regions: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", PlotMarkers -> {Automatic, {"OpenMarkers", Tiny}}] Out[1]= [image] ``` --- Use a ``Point`` for all regions and label regions with a ``Tooltip`` : ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", PlotMarkers -> Point, GeoLabels -> (Tooltip[#1, Column[{#2, #4}]]&)] Out[1]= [image] ``` --- Specify that missing data should be colored green with a dashed outline: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GreenhouseGasEmissions", MissingStyle -> Directive[Green, EdgeForm[Dashed]]] Out[1]= [image] ``` --- Change the style of the automatically generated labels: ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Houston", "Texas", "UnitedStates"}] -> 4, Entity["City", {"Atlanta", "Georgia", "UnitedStates"}] -> 3}, GeoLabels -> True, LabelStyle -> {13, Bold, Italic, Purple}] Out[1]= [image] ``` --- Use ``EdgeForm`` to change the outline of extended regions: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Ukraine"] -> 2, Entity["Country", "Belarus"] -> 8, Entity["Country", "Poland"] -> 5.4}, PlotStyle -> Directive[EdgeForm[{Thick, Opacity[1], Dashing[.05], Black}]]] Out[1]= [image] ``` --- Color clipped regions lighter blue if the value is too low and darker blue if the value is too high: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> {Lighter[Blue], Darker[Blue]}, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- Color clipped regions light gray: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> LightGray, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- Do not color clipped regions: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> None, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- Color only clipped regions when the value is too high: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> {None, Red}, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- Do not show legends: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population", PlotLegends -> None] Out[1]= [image] ``` --- Change the location of the legend: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population", PlotLegends -> Placed[Automatic, Left]] Out[1]= [image] ``` --- Use a continuous gradient coloring for the plot and the legend: ```wl In[1]:= GeoRegionValuePlot[EntityValue[Entity["Country", "UnitedStates"], "AdministrativeDivisions"] -> "Population", PlotLegends -> Placed[Automatic, Left], ColorFunction -> "Rainbow"] Out[1]= [image] ``` --- Draw a relief map background for the map: ```wl In[1]:= GeoRegionValuePlot[Entity["GeographicRegion", "Africa"][EntityProperty["GeographicRegion", "Countries"]] -> "Population", GeoBackground -> "ReliefMap"] Out[1]= [image] ``` --- Specify a specific location for the center of the map: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "China"], Entity["Country", "India"], Entity["Country", "UnitedStates"], Entity["Country", "Brazil"], Entity["Country", "Australia"]} -> "Population", GeoCenter -> {0, -180}] Out[1]= [image] ``` Specify the region to show: ```wl In[2]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population", GeoRange -> {GeoPosition[{30, -120}], GeoPosition[{50, -90}]}] Out[2]= [image] ``` ### Options (63) #### AspectRatio (4) By default, the ratio of the height to width for the plot is determined automatically: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population"] Out[1]= [image] ``` --- Make the height the same as the width with ``AspectRatio -> 1`` : ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", AspectRatio -> 1] Out[1]= [image] ``` --- Use numerical value to specify the height to width ratio: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", AspectRatio -> 1 / GoldenRatio] Out[1]= [image] ``` --- ``AspectRatio -> Full`` adjusts the height and width to tightly fit inside other constructs: ```wl In[1]:= plot = GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", AspectRatio -> Full]; In[2]:= {Framed[Pane[plot, {75, 200}]], Framed[Pane[plot, {150, 150}]], Framed[Pane[plot, {200, 100}]]} Out[2]= [image] ``` #### Axes (3) By default, ``Axes`` are not drawn: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population"] Out[1]= [image] ``` --- Use ``Axes -> True`` to turn on axes: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> True] Out[1]= [image] ``` --- Turn each axis on individually: ```wl In[1]:= {GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> {True, False}], GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> {False, True}]} Out[1]= [image] ``` #### AxesLabel (3) No axes labels are drawn by default: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", Axes -> True] Out[1]= [image] ``` --- Place a label on the $y$ axis: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", Axes -> True, AxesLabel -> y] Out[1]= [image] ``` --- Specify axes labels: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", Axes -> True, AxesLabel -> {x, y}] Out[1]= [image] ``` #### AxesOrigin (2) The position of the axes is determined automatically: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", Axes -> True] Out[1]= [image] ``` --- Specify an explicit origin for the axes: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", Axes -> True, AxesOrigin -> {.4, .4}] Out[1]= [image] ``` #### AxesStyle (4) Change the style for the axes: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> True, AxesStyle -> Red] Out[1]= [image] ``` --- Specify the style of each axis: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> True, AxesStyle -> {{Thick, Brown}, {Thick, Blue}}] Out[1]= [image] ``` --- Use different styles for the ticks and the axes: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> True, AxesStyle -> Green, TicksStyle -> Black] Out[1]= [image] ``` --- Use different styles for the labels and the axes: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", Axes -> True, AxesStyle -> Green, LabelStyle -> Black] Out[1]= [image] ``` #### ClippingStyle (4) Color clipped regions lighter blue if the value is too low and darker blue if the value is too high: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> {Lighter[Blue], Darker[Blue]}, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- Color clipped regions light gray: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> LightGray, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> None, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` --- Color only clipped regions when the value is too high: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", ClippingStyle -> {None, Red}, PlotRange -> {10 ^ 6, 99999999}] Out[1]= [image] ``` #### ColorFunction (1) Color regions using an existing color scheme: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", ColorFunction -> "TemperatureMap"] Out[1]= [image] ``` #### ColorFunctionBinning (7) Use ``None`` to use a continuous range of colors: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> None] Out[1]= [image] ``` --- Use colors corresponding to equal-width bins: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> Automatic] Out[1]= [image] ``` --- Specify how large the bins should be: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> {5 10 ^ 11}] Out[1]= [image] ``` --- Use the $k$-means algorithm for find clusters of values: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> "KMeans"] Out[1]= [image] ``` Specify how many clusters to find: ```wl In[2]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> {"KMeans", 7}] Out[2]= [image] ``` --- Using ``"Quantile"`` will put approximately the same number of regions in each bin: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> "Quantile"] Out[1]= [image] ``` Some of the regions are small and may not be visible: ```wl In[2]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> "Quantile", PlotMarkers -> {Automatic, Point}] Out[2]= [image] ``` --- Color the regions according to what quartile they are in: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> {"Quantile", 4}] Out[1]= [image] ``` --- Specify the bin boundaries: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GDP", ColorFunctionBinning -> {{10 ^ 9, 10 ^ 10, 10 ^ 11, 10 ^ 12, 10 ^ 13}}] Out[1]= [image] ``` #### ColorFunctionScaling (1) Use unscaled coordinates with a custom color function: ```wl In[1]:= GeoRegionValuePlot[ EntityClass["Country", "SouthAmerica"] -> "PopulationDensity", ColorFunctionScaling -> False, ColorFunction -> (If[# > 30, Green, Blue]&), PlotStyle -> Opacity[.3]] Out[1]= [image] ``` #### ColorRules (1) Specify color rules for explicit values: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Italy"] -> 3, Entity["Country", "Germany"] -> 4, Entity["Country", "Poland"] -> 3.2, Entity["Country", "Austria"] -> 2}, ColorRules -> {2 -> LightGreen, 3 -> Green}] Out[1]= [image] ``` #### Frame (4) ``GeoRegionValuePlot`` does not use a frame by default: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population"] Out[1]= [image] ``` --- Use ``Frame -> True`` to draw a frame around the plot: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True] Out[1]= [image] ``` --- Draw a frame on the left and right edges: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> {{True, True}, {False, False}}] Out[1]= [image] ``` --- Draw a frame on the left and bottom edges: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> {{True, False}, {True, False}}] Out[1]= [image] ``` #### FrameLabel (4) Place a label along the bottom frame of a plot: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True, FrameLabel -> {"label"}] Out[1]= [image] ``` --- Frame labels are placed on the bottom and left frame edges by default: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True, FrameLabel -> {"latitude", "longitude"}] Out[1]= [image] ``` --- Place labels on each of the edges in the frame: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True, FrameLabel -> {{"left", "right"}, {"bottom", "top"}}] Out[1]= [image] ``` --- Use a customized style for both labels and frame tick labels: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True, FrameLabel -> {{"left", "right"}, {"bottom", "top"}}, LabelStyle -> Directive[Bold, Black]] Out[1]= [image] ``` #### FrameStyle (2) Specify the style of the frame: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True, FrameStyle -> Directive[Black, Thick]] Out[1]= [image] ``` --- Specify the style for each frame edge: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "China"] -> "Population", Frame -> True, FrameStyle -> {{Directive[Black, Thick], Red}, {Directive[Gray, Thick], Blue}}] Out[1]= [image] ``` #### GeoBackground (1) Use the default background for map region and background: ```wl In[1]:= GeoRegionValuePlot[Entity["GeographicRegion", "Africa"][EntityProperty["GeographicRegion", "Countries"]] -> "Population"] Out[1]= [image] ``` Draw a relief map background for the map: ```wl In[2]:= GeoRegionValuePlot[Entity["GeographicRegion", "Africa"][EntityProperty["GeographicRegion", "Countries"]] -> "Population", GeoBackground -> "ReliefMap"] Out[2]= [image] ``` #### GeoCenter (1) Maps are automatically centered based on the data: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "China"], Entity["Country", "India"], Entity["Country", "UnitedStates"], Entity["Country", "Brazil"], Entity["Country", "Australia"]} -> "Population"] Out[1]= [image] ``` Specify a specific location for the center of the map: ```wl In[2]:= GeoRegionValuePlot[{Entity["Country", "China"], Entity["Country", "India"], Entity["Country", "UnitedStates"], Entity["Country", "Brazil"], Entity["Country", "Australia"]} -> "Population", GeoCenter -> {0, -180}] Out[2]= [image] ``` #### GeoLabels (3) Automatically add the names of the specified locations as labels: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "SouthAfrica"] -> 2, Entity["Country", "Germany"] -> 3, Entity["Country", "Nigeria"] -> 8, Entity["City", {"LosAngeles", "California", "UnitedStates"}] -> 1.2}, GeoLabels -> Automatic] Out[1]= [image] ``` --- Use tooltips to show the names of locations: ```wl In[1]:= GeoRegionValuePlot[{Entity["Desert", "GobiDesert::cy8gv"] -> Quantity[5.2 10^7, "Years"], Entity["Desert", "AtacamaDesert::bv7nz"] -> Quantity[8.5 10^7, "Years"], Entity["Desert", "Sahara::rhz4h"] -> Quantity[3.5 10^7, "Years"], Entity["Desert", "MojaveDesert::9wjp8"] -> Quantity[8.1 10^7, "Years"]}, GeoLabels -> (Tooltip[#1, #2]&)] Out[1]= [image] ``` --- Use tooltips to show multiple pieces of information: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Bulgaria"], Entity["Country", "Turkey"], Entity["Country", "Greece"], Entity["Country", "Romania"]} -> "Population", GeoLabels -> (Tooltip[#1, Row[{#2, ": ", #4, ", ", EntityValue[#2, "ReligionsFractions"]}]]&)] Out[1]= [image] ``` #### GeoProjection (1) ```wl In[1]:= GeoRegionValuePlot[Entity["GeographicRegion", "Asia"][EntityProperty["GeographicRegion", "Countries"]] -> "Population"] Out[1]= [image] In[2]:= GeoRegionValuePlot[Entity["GeographicRegion", "Asia"][EntityProperty["GeographicRegion", "Countries"]] -> "Population", GeoProjection -> "Orthographic"] Out[2]= [image] ``` #### GeoRange (1) The geographic region to show is automatically determined: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population"] Out[1]= [image] ``` Specify the region to show: ```wl In[2]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population", GeoRange -> {GeoPosition[{30, -120}], GeoPosition[{50, -90}]}] Out[2]= [image] ``` #### LabelStyle (1) Change the style of the automatically generated labels: ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Houston", "Texas", "UnitedStates"}] -> 4, Entity["City", {"Atlanta", "Georgia", "UnitedStates"}] -> 3}, GeoLabels -> True, LabelStyle -> {13, Bold, Italic, Purple}] Out[1]= [image] ``` #### MissingStyle (1) Specify that missing data should be colored green with a dashed outline: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "GreenhouseGasEmissions", MissingStyle -> Directive[Green, EdgeForm[Dashed]]] Out[1]= [image] ``` #### PlotLegends (3) Do not show legends: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population", PlotLegends -> None] Out[1]= [image] ``` --- Change the location of the legend: ```wl In[1]:= GeoRegionValuePlot[Entity["Country", "UnitedStates"] -> "Population", PlotLegends -> Placed[Automatic, Left]] Out[1]= [image] ``` --- Use a continuous gradient coloring for the plot and the legend: ```wl In[1]:= GeoRegionValuePlot[EntityValue[Entity["Country", "UnitedStates"], "AdministrativeDivisions"] -> "Population", PlotLegends -> Placed[Automatic, Left], ColorFunction -> "Rainbow"] Out[1]= [image] ``` #### PlotMarkers (7) Mark locations with a special character: ```wl In[1]:= GeoRegionValuePlot[{Entity["AdministrativeDivision", {"Ontario", "Canada"}] -> 19, Entity["City", {"Albany", "NewYork", "UnitedStates"}] -> 1, Entity["City", {"NewYork", "NewYork", "UnitedStates"}] -> 8, Entity["City", {"Buffalo", "NewYork", "UnitedStates"}] -> 11}, PlotMarkers -> Style["♜", 20], GeoBackground -> GeoStyling["ReliefMap"]] Out[1]= [image] ``` --- Mark locations with a ``GeoMarker`` : ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Madrid", "Madrid", "Spain"}] -> 31, Entity["Country", "Andorra"] -> 45, Entity["City", {"Rome", "Lazio", "Italy"}] -> 20, Entity["Country", "Switzerland"] -> 16, Entity["City", {"Frankfurt", "Hesse", "Germany"}] -> 24, Entity["City", {"Paris", "IleDeFrance", "France"}] -> 5}, PlotMarkers -> GeoMarker] Out[1]= [image] ``` --- By default, all regions are shown: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population"] Out[1]= [image] ``` --- Show points for small regions: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", PlotMarkers -> {Automatic, Point}] Out[1]= [image] ``` --- Show polygons of all regions with a ``Polygon`` property: ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Madrid", "Madrid", "Spain"}] -> 31, Entity["Country", "Andorra"] -> 45, Entity["City", {"Rome", "Lazio", "Italy"}] -> 20, Entity["Country", "Switzerland"] -> 16, Entity["City", {"Frankfurt", "Hesse", "Germany"}] -> 24, Entity["City", {"Paris", "IleDeFrance", "France"}] -> 5}, PlotMarkers -> Polygon] Out[1]= [image] ``` --- Show polygons for extended regions and ``GeoMarker`` for small regions or with no ``Polygon`` property: ```wl In[1]:= GeoRegionValuePlot[{Entity["City", {"Madrid", "Madrid", "Spain"}] -> 31, Entity["Country", "Andorra"] -> 45, Entity["City", {"Rome", "Lazio", "Italy"}] -> 20, Entity["Country", "Switzerland"] -> 16, Entity["City", {"Frankfurt", "Hesse", "Germany"}] -> 24, Entity["City", {"Paris", "IleDeFrance", "France"}] -> 5}, PlotMarkers -> {Polygon, GeoMarker}] Out[1]= [image] ``` --- Show tiny ``"OpenMarkers"`` for small regions: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "Europe"] -> "Population", PlotMarkers -> {Automatic, {"OpenMarkers", Tiny}}] Out[1]= [image] ``` #### PlotRange (1) Use all the color contrast for the countries with fewer than 20,000,000 people: ```wl In[1]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", PlotRange -> 20 10 ^ 6] Out[1]= [image] ``` Use all the color contrast for the countries between 11,000,000 and 20,000,000 people: ```wl In[2]:= GeoRegionValuePlot[EntityClass["Country", "SouthAmerica"] -> "Population", PlotRange -> {11 10 ^ 6, 20 10 ^ 6}] Out[2]= [image] ``` #### PlotStyle (2) Use different style directives: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Albania"] -> 4, Entity["Country", "France"] -> 2, Entity["Country", "Germany"] -> 3}, PlotStyle -> Directive[Opacity[.4]]] Out[1]= [image] ``` --- Use ``EdgeForm`` to change the outline of extended regions: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Ukraine"] -> 2, Entity["Country", "Belarus"] -> 8, Entity["Country", "Poland"] -> 5.4}, PlotStyle -> Directive[EdgeForm[{Thick, Opacity[1], Dashing[.05], Black}]]] Out[1]= [image] ``` #### TargetUnits (1) Change the units shown in the legend: ```wl In[1]:= GeoRegionValuePlot[{Entity["Country", "Malaysia"] -> Quantity[899788, "Pounds"], Entity["Country", "Indonesia"] -> Quantity[1.898 10^7, "Pounds"], Entity["Country", "Thailand"] -> Quantity[898988, "Pounds"], Entity["Country", "Cambodia"] -> Quantity[8.998 10^6, "Pounds"]}, TargetUnits -> "Kilograms"] Out[1]= [image] ``` ### Properties & Relations (9) Use ``GeoBubbleChart`` to show values with scaled bubbles: ```wl In[1]:= states = EntityValue[EntityClass["AdministrativeDivision", "USStatesAllStates"], EntityFunction[e, {e, e["Population"]}]]; In[2]:= GeoBubbleChart[states] Out[2]= [image] ``` --- Use ``GeoHistogram`` to aggregate locations into bins: ```wl In[1]:= pts = RandomGeoPosition[Entity["Country", "UnitedStates"], 500]; In[2]:= GeoHistogram[pts, "AdministrativeDivision1"] Out[2]= [image] ``` --- Use ``GeoSmoothHistogram`` to generate smooth densities from locations: ```wl In[1]:= pts = RandomGeoPosition[Entity["Country", "UnitedStates"], 500]; In[2]:= GeoSmoothHistogram[pts] Out[2]= [image] ``` --- Use ``GeoListPlot`` for individual locations: ```wl In[1]:= GeoListPlot[RandomGeoPosition[Entity["Country", "Italy"], 500]] Out[1]= [image] ``` --- Use ``GeoVectorPlot`` and ``GeoStreamPlot`` for vector fields: ```wl In[1]:= vecs = GeoVectorENU[GeoPosition[CompressedData["«2255»"]] -> CompressedData["«2266»"]]; In[2]:= {GeoVectorPlot[vecs], GeoStreamPlot[vecs]} Out[2]= {[image], [image]} ``` --- Draw contours on a map with ``GeoContourPlot`` : ```wl In[1]:= GeoContourPlot[IconizedObject[«locs»] -> IconizedObject[«vals»]] Out[1]= [image] ``` --- Smoothly shade a map using color with ``GeoDensityPlot`` : ```wl In[1]:= GeoDensityPlot[IconizedObject[«locs»] -> IconizedObject[«vals»]] Out[1]= [image] ``` --- Use ``GeoGraphValuePlot`` to show the values on geographic networks: ```wl In[1]:= 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}}] Out[1]= [image] ``` --- Plot relationships between geographic locations on a map: ```wl In[1]:= GeoGraphPlot[IconizedObject[«nearest US cities»]] Out[1]= [image] ``` ### Neat Examples (3) Color the countries of the world by their net migration: ```wl In[1]:= GeoRegionValuePlot[CountryData[] -> "NetMigration"] Out[1]= [image] ``` --- Color some tall buildings by height, with rich tooltip information: ```wl In[1]:= samples = BuildingData["SampleEntities"]; heights = SortBy[Transpose[{samples, BuildingData[samples, "FloorCount"]}], Last]; In[2]:= GeoRegionValuePlot[heights, GeoLabels -> (Tooltip[#1, Column[Function[{p}, Column[{Style[p <> ":", Italic], EntityValue[#2, p]}]] /@ {"Name", "Architect", "ConstructionEndDate"}, Left, 2]]&)] Out[2]= [image] ``` --- Show land elevations and water depths in the region of New York City with color and tooltips: ```wl In[1]:= data = MapThread[Rule, {#, Map[GeoElevationData[#]&, #, {2}]}, 2]&[Table[GeoPosition[{39.945833 + i / 5, -72.985833 - j / 5}], {i, 1, 10}, {j, 1, 10}]]; In[2]:= GeoRegionValuePlot[(Flatten@data), GeoBackground -> GeoStyling["ReliefMap"], GeoLabels -> (Tooltip[#1, #4]&)] Out[2]= [image] ``` ## See Also * [`GeoDensityPlot`](https://reference.wolfram.com/language/ref/GeoDensityPlot.en.md) * [`GeoContourPlot`](https://reference.wolfram.com/language/ref/GeoContourPlot.en.md) * [`GeoListPlot`](https://reference.wolfram.com/language/ref/GeoListPlot.en.md) * [`GeoSmoothHistogram`](https://reference.wolfram.com/language/ref/GeoSmoothHistogram.en.md) * [`GeoHistogram`](https://reference.wolfram.com/language/ref/GeoHistogram.en.md) * [`GeoBubbleChart`](https://reference.wolfram.com/language/ref/GeoBubbleChart.en.md) * [`GeoStreamPlot`](https://reference.wolfram.com/language/ref/GeoStreamPlot.en.md) * [`GeoVectorPlot`](https://reference.wolfram.com/language/ref/GeoVectorPlot.en.md) * [`GeoGraphPlot`](https://reference.wolfram.com/language/ref/GeoGraphPlot.en.md) * [`GeoGraphics`](https://reference.wolfram.com/language/ref/GeoGraphics.en.md) * [`PointValuePlot`](https://reference.wolfram.com/language/ref/PointValuePlot.en.md) * [`Country`](https://reference.wolfram.com/language/ref/entity/Country.en.md) * [`City`](https://reference.wolfram.com/language/ref/entity/City.en.md) ## Related Guides * [Geographic Visualization](https://reference.wolfram.com/language/guide/GeoVisualization.en.md) * [Geographic Data & Entities](https://reference.wolfram.com/language/guide/GeographicData.en.md) * [Maps & Cartography](https://reference.wolfram.com/language/guide/MapsAndCartography.en.md) * [Charting and Information Visualization](https://reference.wolfram.com/language/guide/ChartingAndInformationVisualization.en.md) * [Data Visualization](https://reference.wolfram.com/language/guide/DataVisualization.en.md) ## Related Links * [An Elementary Introduction to the Wolfram Language: Geocomputation](https://www.wolfram.com/language/elementary-introduction/18-geocomputation.html) ## History * [Introduced in 2014 (10.0)](https://reference.wolfram.com/language/guide/SummaryOfNewFeaturesIn100.en.md) \| [Updated in 2020 (12.2)](https://reference.wolfram.com/language/guide/SummaryOfNewFeaturesIn122.en.md)