Ship data analysis example

This tutorial uses AIS data published by the Danish Maritime Authority. The AIS record sample extracted for this tutorial covers vessel traffic on the 5th July 2017 near Gothenburg.

This tutorial covers:

1. Trajectory data preprocessing
   • Loading movement data from common geospatial file formats
   • Exploring spatial & non-spatial data distributions
   • Applying filters to extract relevant data
   • Converting GeoDataFrames into Trajectories describing continuous tracks of moving objects
2. Trajectory analysis
   • Visualizing trajectories and their properties
   • Filtering trajectories by area of interest
   • Splitting continuous tracks into individual trips
   • Exploring trip properties including: origins, destinations, and attributes

import numpy as np
import pandas as pd
import geopandas as gpd
import movingpandas as mpd
import shapely as shp
import hvplot.pandas 
import matplotlib.pyplot as plt

from geopandas import GeoDataFrame, read_file
from shapely.geometry import Point, LineString, Polygon
from datetime import datetime, timedelta
from holoviews import opts, dim
from os.path import exists
from urllib.request import urlretrieve

import warnings
warnings.filterwarnings('ignore')

plot_defaults = {'linewidth':5, 'capstyle':'round', 'figsize':(9,3), 'legend':True}
opts.defaults(opts.Overlay(active_tools=['wheel_zoom'], frame_width=500, frame_height=400))
hvplot_defaults = {'tiles':None, 'cmap':'Viridis', 'colorbar':True}

mpd.show_versions()