{ "cells": [ { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "
CASE - CurieuzeNeuzen citizen science air quality data
\n", "\n", "\n", "> *DS Python for GIS and Geoscience* \n", "> *October, 2020*\n", ">\n", "> *© 2020, Joris Van den Bossche and Stijn Van Hoey. Licensed under [CC BY 4.0 Creative Commons](http://creativecommons.org/licenses/by/4.0/)*\n", "\n", "---" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "\n", "\n", "Air pollution remains a key environmental problem in an increasingly urbanized world. While concentrations of traffic-related pollutants like nitrogen dioxide (NO2) are known to vary over short distances, official monitoring networks remain inherently sparse, as reference stations are costly to construct and operate.\n", "\n", "The [**CurieuzeNeuzen**](https://curieuzeneuzen.be/curieuzeneuzen-vlaanderen-2018/) citizen science project collected a large, spatially distributed dataset that can complement official monitoring. In a first edition in 2016, in Antwerp, 2000 citizens were involved. This success was followed by a second edition in 2018 engaging 20.000 citizens across Flanders, a highly urbanized, industrialized and densely populated region in Europe. The participants measured the NO2 concentrations in front of their house using a low-cost sampler design (see picture below, where passive sampling tubes are attached using a panel to a window at the facade). \n", "\n", "Source: preprint paper at https://eartharxiv.org/repository/view/19/\n", "\n", "In this case study, we are going to make use of the data collected across Flanders in 2018: explore the data and investigate relationships with other variables.\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "deletable": true, "editable": true }, "outputs": [], "source": [ "import pandas as pd\n", "import geopandas\n", "\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## Importing and exploring the data" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "