HAVE A NICE DAY

EDITORIAL OUTCOME THROUGH CODING
API DATA WEATHER VISUALIZATION PROCESSED THROUGH BASIL.JS
BASIL.JS

HGK
FACHHOCHSCHULE NORDWESTSCHWEIZ
DIGITAL COMMUNICATION ENVIRONMENTS
2021

PARTNER:
JO BANDIERA
EXHIBITION:
I NEVER READ

A collection of experimental visualizations on the weather in Basel, compiled into a booklet that blends code, storytelling, and data analysis.
The process consisted in grasping API data from SRF Weather database, collecting for 15 different GPS location in the center of Basel the following data:

Date, time
Chance precipitation
Cloud coverage
Conditions
Heat Index
Maximum Temperature
Minumim Temperature
Precipitation
Relative Humidity
Snow
Snow Depth
Temperature
Visibility
Wind Chill
Wind Gust
Wind Speed

Once the data was collected and organized, the visualization where built with code (JavaScript) and translated into InDesign through the library of Basil.js.
Within each of the three chapter we experimented with different visual languages, using different databases and data scales.
Each section stretch through different time ranges (hours, weeks, year) and space scales (the whole city or specific locations) exploring a variety of reading experiences, in which the data are dilated through pages or hyper-concentrated.

Chapter I - The Past
A visual summary of the weather across the year 2020
Data Source: Meteo Blue
Visualized Data:

Temperature
Sunshine duration
Cloud coverage
Humidity
Precipitation
Snowfall
Wind speed
Wind direction

1 page = 366 days

Chapter II - The present
A real-time extraction and geo-localization of Data to build a map of Basel (15 GPS locations) and visualize different data at the same time.
Data source: SRF Weather database
Visualized Data: