Intepretation of HLL data:
Comparison, Interactive Exploration, Benchmark Data


This is the last notebook in a series of four notebooks:

In this notebook, we'll illustrate how to make further analyses based on the published hll benchmark dataset.

  • create interactive map with geoviews, adapt visuals, styling and legend
  • combine results from raw and hll into interactive map (on hover)
  • store interactive map as standalone HTML
  • exporting benchmark data
  • intersecting hll sets for frequentation analysis



Load global settings and methods from 03_yfcc_gridagg_hll notebook. This will also load all parameters and methods defined in 02_yfcc_gridagg_raw.

In [3]:
import sys
from pathlib import Path
module_path = str(Path.cwd().parents[0] / "py")
if module_path not in sys.path:

from _03_yfcc_gridagg_hll import *

Load additional dependencies

Load all dependencies at once, as a means to verify that everything required to run this notebook is available.

In [4]:
import geoviews as gv
import holoviews as hv
import geoviews.feature as gf
import pickle
import ipywidgets as widgets
from ipywidgets.embed import embed_minimal_html
from rtree import index
from import sjoin
from geoviews import opts
from bokeh.models import HoverTool, FixedTicker
from matplotlib_venn import venn3, venn3_circles

Enable bokeh

In [3]: