30 Day Map Challenge: Day 6 (Asia)¶

This is a notebook for day 6 of 30 Day Map Challenge.

This data comes from the UN's "Rivers of South and East Asia".

Imports¶

In [1]:

import geopandas as gpd
from palettable.colorbrewer.sequential import Blues_8

from lonboard import Map, PathLayer
from lonboard.colormap import apply_continuous_cmap

import geopandas as gpd from palettable.colorbrewer.sequential import Blues_8 from lonboard import Map, PathLayer from lonboard.colormap import apply_continuous_cmap

Fetch the data¶

In [2]:

url = "https://storage.googleapis.com/fao-maps-catalog-data/geonetwork/aquamaps/rivers_asia_37331.zip"

url = "https://storage.googleapis.com/fao-maps-catalog-data/geonetwork/aquamaps/rivers_asia_37331.zip"

In [3]:

gdf = gpd.read_file(url, engine="pyogrio")

gdf = gpd.read_file(url, engine="pyogrio")

The Strahler column seems to refer to how important/central the particular river is. It ranges from 1-7.

In [4]:

gdf['Strahler'].value_counts()

gdf['Strahler'].value_counts()

Out[4]:

Strahler
1    80503
2    39100
3    19655
4     8960
5     4547
6     1901
7      484
Name: count, dtype: int64

We'll use Strahler to plot more central rivers in both a darker blue and with a wider line.

In [5]:

layer = PathLayer.from_geopandas(gdf)
layer.get_color = apply_continuous_cmap(gdf['Strahler'] / 7, Blues_8)
layer.get_width = gdf['Strahler']
layer.width_scale = 3000
layer.width_min_pixels = 0.5

m = Map(layers=[layer])
m

layer = PathLayer.from_geopandas(gdf) layer.get_color = apply_continuous_cmap(gdf['Strahler'] / 7, Blues_8) layer.get_width = gdf['Strahler'] layer.width_scale = 3000 layer.width_min_pixels = 0.5 m = Map(layers=[layer]) m

Out[5]:

Map(layers=[PathLayer(get_color=<pyarrow.lib.FixedSizeListArray object at 0x107cbb220>
[
  [
    8,
    69,
  …

In [ ]: