110 choropleth
Uncomment the following line to install geemap if needed.
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import geemap
import geemap
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data = geemap.examples.datasets.countries_geojson
data = geemap.examples.datasets.countries_geojson
Available classification schemes:
- BoxPlot
- EqualInterval
- FisherJenks
- FisherJenksSampled
- HeadTailBreaks
- JenksCaspall
- JenksCaspallForced
- JenksCaspallSampled
- MaxP
- MaximumBreaks
- NaturalBreaks
- Quantiles
- Percentiles
- StdMean
- UserDefined
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m = geemap.Map()
m.add_data(
data, column="POP_EST", scheme="Quantiles", cmap="Blues", legend_title="Population"
)
m
m = geemap.Map()
m.add_data(
data, column="POP_EST", scheme="Quantiles", cmap="Blues", legend_title="Population"
)
m
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m = geemap.Map()
m.add_data(
data,
column="POP_EST",
scheme="EqualInterval",
cmap="Blues",
legend_title="Population",
)
m
m = geemap.Map()
m.add_data(
data,
column="POP_EST",
scheme="EqualInterval",
cmap="Blues",
legend_title="Population",
)
m
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m = geemap.Map()
m.add_data(
data,
column="POP_EST",
scheme="FisherJenks",
cmap="Blues",
legend_title="Population",
)
m
m = geemap.Map()
m.add_data(
data,
column="POP_EST",
scheme="FisherJenks",
cmap="Blues",
legend_title="Population",
)
m
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m = geemap.Map()
m.add_data(
data,
column="POP_EST",
scheme="JenksCaspall",
cmap="Blues",
legend_title="Population",
)
m
m = geemap.Map()
m.add_data(
data,
column="POP_EST",
scheme="JenksCaspall",
cmap="Blues",
legend_title="Population",
)
m