EcoPlot#
Setup#
Ecoscope#
[ ]:
ECOSCOPE_RAW = "https://raw.githubusercontent.com/wildlife-dynamics/ecoscope/master"
# !pip install ecoscope
[ ]:
import os
import sys
import geopandas as gpd
import pandas as pd
import ecoscope
ecoscope.init()
Google Drive Setup#
[ ]:
output_dir = "Ecoscope-Outputs"
if "google.colab" in sys.modules:
from google.colab import drive
drive.mount("/content/drive/", force_remount=True)
output_dir = os.path.join("/content/drive/MyDrive/", output_dir)
os.makedirs(output_dir, exist_ok=True)
Load Sample Trajectory
#
[ ]:
# Read csv as Pandas DataFrame
ecoscope.io.download_file(
f"{ECOSCOPE_RAW}/tests/sample_data/vector/er_relocs.csv.zip",
os.path.join(output_dir, "er_relocs.csv.zip"),
)
data = pd.read_csv(os.path.join(output_dir, "er_relocs.csv.zip"), header=0, index_col=0)
# Create GeoPandas DataFrame from Pandas DataFrame, parsing the geometry column
gdf = gpd.GeoDataFrame(data, geometry=gpd.GeoSeries.from_wkt(data["geometry"], crs=4326))
# Create Relocations from the GeoPandas DataFrame
relocs = ecoscope.base.Relocations.from_gdf(
gdf,
)
# Create a Trajectory from the Relocations
traj = ecoscope.base.Trajectory.from_relocations(relocs)
EcoPlot Example#
[ ]:
grouped1 = traj[:1000].groupby("groupby_col")
grouped2 = traj[2000:3000].groupby("groupby_col")
epdata1 = ecoscope.plotting.EcoPlotData(grouped1, "segment_start", "speed_kmhr", line=dict(color="blue"))
epdata2 = ecoscope.plotting.EcoPlotData(grouped2, "segment_start", "speed_kmhr", line=dict(color="blue"))
epdata3 = ecoscope.plotting.EcoPlotData(grouped2, "segment_start", "timespan_seconds", line=dict(color="red"))
ecoscope.plotting.ecoplot([epdata1, epdata2, epdata3], "My Plot", os.path.join(output_dir, "ecoplot_example.png"))