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
Last update:
2023-04-06
Created: 2020-06-29
Created: 2020-06-29