Creating choropleth maps with a variety of classification schemes

Uncomment the following line to install leafmap if needed.

In [1]:

# %pip install "leafmap[maplibre]"

# %pip install "leafmap[maplibre]"

In [2]:

import leafmap.maplibregl as leafmap

import leafmap.maplibregl as leafmap

In [3]:

data = "https://github.com/opengeos/datasets/releases/download/vector/countries.geojson"

data = "https://github.com/opengeos/datasets/releases/download/vector/countries.geojson"

Available classification schemes:

• BoxPlot
• EqualInterval
• FisherJenks
• FisherJenksSampled
• HeadTailBreaks
• JenksCaspall
• JenksCaspallForced
• JenksCaspallSampled
• MaxP
• MaximumBreaks
• NaturalBreaks
• Quantiles
• Percentiles
• StdMean
• UserDefined

In [4]:

m = leafmap.Map(style="liberty")
first_symbol_id = m.find_first_symbol_layer()["id"]
m.add_data(
    data,
    column="POP_EST",
    scheme="Quantiles",
    cmap="Blues",
    legend_title="Population",
    name="Population",
    before_id=first_symbol_id,
    extrude=True,
    scale_factor=1000,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") first_symbol_id = m.find_first_symbol_layer()["id"] m.add_data( data, column="POP_EST", scheme="Quantiles", cmap="Blues", legend_title="Population", name="Population", before_id=first_symbol_id, extrude=True, scale_factor=1000, ) m.add_layer_control() m

In [5]:

m = leafmap.Map(style="liberty")
m.add_data(
    data,
    column="POP_EST",
    scheme="Quantiles",
    cmap="Blues",
    legend_title="Population",
    name="Population",
    before_id=first_symbol_id,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") m.add_data( data, column="POP_EST", scheme="Quantiles", cmap="Blues", legend_title="Population", name="Population", before_id=first_symbol_id, ) m.add_layer_control() m

In [ ]:

In [6]:

m = leafmap.Map(style="liberty")
m.add_data(
    data,
    column="POP_EST",
    scheme="EqualInterval",
    cmap="Blues",
    legend_title="Population",
    name="Population",
    before_id=first_symbol_id,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") m.add_data( data, column="POP_EST", scheme="EqualInterval", cmap="Blues", legend_title="Population", name="Population", before_id=first_symbol_id, ) m.add_layer_control() m

In [7]:

m = leafmap.Map(style="liberty")
m.add_data(
    data,
    column="POP_EST",
    scheme="FisherJenks",
    cmap="Blues",
    legend_title="Population",
    name="Population",
    before_id=first_symbol_id,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") m.add_data( data, column="POP_EST", scheme="FisherJenks", cmap="Blues", legend_title="Population", name="Population", before_id=first_symbol_id, ) m.add_layer_control() m

In [8]:

m = leafmap.Map(style="liberty")
m.add_data(
    data,
    column="POP_EST",
    scheme="FisherJenks",
    cmap="Blues",
    legend_title="Population",
    name="Population",
    before_id=first_symbol_id,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") m.add_data( data, column="POP_EST", scheme="FisherJenks", cmap="Blues", legend_title="Population", name="Population", before_id=first_symbol_id, ) m.add_layer_control() m

In [9]:

m = leafmap.Map(style="liberty")
m.add_data(
    data,
    column="POP_EST",
    scheme="JenksCaspall",
    cmap="Blues",
    legend_title="Population",
    name="Population",
    before_id=first_symbol_id,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") m.add_data( data, column="POP_EST", scheme="JenksCaspall", cmap="Blues", legend_title="Population", name="Population", before_id=first_symbol_id, ) m.add_layer_control() m