GeoListPlot

GeoListPlot[{loc1,loc2,}]

generates a map on which the locations loci are indicated.

GeoListPlot[{list1,list2,}]

generates a map showing several lists of locations.

Details and Options

Examples

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Basic Examples  (3)

Show two nearby cities:

Highlight some countries of Southeast Asia:

Display the countries that participated in the Korean War:

Scope  (5)

Display multiple lists of locations:

On large scales, cities and other small locations are marked by points:

GeoListPlot works with most geographic entities and GeoPosition:

GeoListPlot works with annotated locations:

GeoListPlot works with TemporalData, TimeSeries, and EventSeries, such as the main landings of the first voyage of Columbus:

Options  (13)

GeoLabels  (2)

Add the names of the specified locations as labels:

Add the names of the specified locations as tooltips:

Joined  (3)

Join two locations:

By default, GeoListPlot uses geodesics given by GeoPath to join locations:

Join location data from a TimeSeries or EventSeries in temporal order:

LabelStyle  (2)

Change the style of the labels:

Individual labels and styles on locations will override LabelStyle:

PlotMarkers  (3)

Use a default sequence of shapes to distinguish sets of locations:

Mark every location with points:

Use a GeoMarker to mark cities:

PlotStyle  (3)

Use different style directives:

Change the style of the joining curve:

Use different styles on each list of locations:

Applications  (1)

Plot locations of strong earthquakes given by an EventSeries:

Properties & Relations  (8)

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 GeoVectorPlot and GeoStreamPlot for vector fields:

Draw contours on a map with GeoContourPlot:

Smoothly shade a map using color with GeoDensityPlot:

Plot relationships between geographic locations on a map:

Neat Examples  (2)

Explore solutions to the traveling salesman problem for South America:

Use WolframAlpha to highlight the countries with the highest population:

Wolfram Research (2014), GeoListPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/GeoListPlot.html.

Text

Wolfram Research (2014), GeoListPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/GeoListPlot.html.

CMS

Wolfram Language. 2014. "GeoListPlot." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/GeoListPlot.html.

APA

Wolfram Language. (2014). GeoListPlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/GeoListPlot.html

BibTeX

@misc{reference.wolfram_2024_geolistplot, author="Wolfram Research", title="{GeoListPlot}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/GeoListPlot.html}", note=[Accessed: 26-May-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_geolistplot, organization={Wolfram Research}, title={GeoListPlot}, year={2014}, url={https://reference.wolfram.com/language/ref/GeoListPlot.html}, note=[Accessed: 26-May-2024 ]}