69 cartoee vector

Plotting Earth Engine vector data with cartoee

Uncomment the following line to install geemap and cartopy if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the notebook example.

See below the commands to install cartopy and geemap using conda/mamba:

conda create -n carto python=3.8
conda activate carto
conda install cartopy scipy -c conda-forge
conda install geemap -c conda-forge
jupyter notebook

In [ ]:

# !pip install cartopy scipy
# !pip install geemap

# !pip install cartopy scipy # !pip install geemap

In [ ]:

import ee
import geemap
from geemap import cartoee
from geemap.datasets import DATA
import geemap.colormaps as cmap
import cartopy.crs as ccrs

%pylab inline

import ee import geemap from geemap import cartoee from geemap.datasets import DATA import geemap.colormaps as cmap import cartopy.crs as ccrs %pylab inline

Plot a simple vector¶

In [ ]:

Map = geemap.Map()

features = ee.FeatureCollection(DATA.users_giswqs_public_countries)

style = {"color": "000000ff", "width": 1, "lineType": "solid", "fillColor": "0000ff40"}

Map.addLayer(features.style(**style), {}, "Polygons")
Map.setCenter(-14.77, 34.70, 2)
Map

Map = geemap.Map() features = ee.FeatureCollection(DATA.users_giswqs_public_countries) style = {"color": "000000ff", "width": 1, "lineType": "solid", "fillColor": "0000ff40"} Map.addLayer(features.style(**style), {}, "Polygons") Map.setCenter(-14.77, 34.70, 2) Map

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# specify region to focus on
bbox = [180, -88, -180, 88]

# specify region to focus on bbox = [180, -88, -180, 88]

In [ ]:

fig = plt.figure(figsize=(15, 10))

# plot the result with cartoee using a PlateCarre projection (default)
ax = cartoee.get_map(features, region=bbox, style=style)
ax.set_title(label="Countries", fontsize=15)
cartoee.add_gridlines(ax, interval=30)

plt.show()

fig = plt.figure(figsize=(15, 10)) # plot the result with cartoee using a PlateCarre projection (default) ax = cartoee.get_map(features, region=bbox, style=style) ax.set_title(label="Countries", fontsize=15) cartoee.add_gridlines(ax, interval=30) plt.show()

In [ ]:

fig = plt.figure(figsize=(15, 10))

projection = ccrs.EqualEarth(central_longitude=-180)
ax = cartoee.get_map(features, region=bbox, proj=projection, style=style)
ax.set_title(label="Countries", fontsize=15)

plt.show()

fig = plt.figure(figsize=(15, 10)) projection = ccrs.EqualEarth(central_longitude=-180) ax = cartoee.get_map(features, region=bbox, proj=projection, style=style) ax.set_title(label="Countries", fontsize=15) plt.show()

Plot a styled vector¶

In [ ]:

Map = geemap.Map()

features = ee.FeatureCollection(DATA.users_giswqs_public_countries)

palette = cmap.palettes.gist_earth
features_styled = geemap.vector_styling(features, column="name", palette=palette)

Map.add_styled_vector(features, column="name", palette=palette, layer_name="Polygon")
Map.setCenter(-14.77, 34.70, 2)
Map

Map = geemap.Map() features = ee.FeatureCollection(DATA.users_giswqs_public_countries) palette = cmap.palettes.gist_earth features_styled = geemap.vector_styling(features, column="name", palette=palette) Map.add_styled_vector(features, column="name", palette=palette, layer_name="Polygon") Map.setCenter(-14.77, 34.70, 2) Map

In [ ]:

bbox = [180, -88, -180, 88]
fig = plt.figure(figsize=(15, 10))

ax = cartoee.get_map(features_styled, region=bbox)
ax.set_title(label="Countries", fontsize=15)
cartoee.add_gridlines(ax, interval=30)

plt.show()

bbox = [180, -88, -180, 88] fig = plt.figure(figsize=(15, 10)) ax = cartoee.get_map(features_styled, region=bbox) ax.set_title(label="Countries", fontsize=15) cartoee.add_gridlines(ax, interval=30) plt.show()

In [ ]:

fig = plt.figure(figsize=(15, 10))

projection = ccrs.EqualEarth(central_longitude=-180)
ax = cartoee.get_map(features_styled, region=bbox, proj=projection)
ax.set_title(label="Countries", fontsize=15)

plt.show()

fig = plt.figure(figsize=(15, 10)) projection = ccrs.EqualEarth(central_longitude=-180) ax = cartoee.get_map(features_styled, region=bbox, proj=projection) ax.set_title(label="Countries", fontsize=15) plt.show()