Project 1 - Art Museums of NYC. (Information Design)

Project 2 - Iron Giants (Data Visualization)

Prompt (Project 1)

Create a digital map guide for an audience of your choice.

Art Museums of NYC

This map has been made taking inspiration from the "Broadway Boogie Woogie". It was made by Piet Mondrian, which was completed in 1943.

Target Audience

Art Connoisseurs.
Tourists.
History Enthusiats.

Locations on Map

Guggenheim Museum
MET
Frick Collection
Smithsonian Museum
MOMA

Reflection of Art into a Map

The asymmetrical distribution of varied colored squares representing blocks of buildings in the background shows the difference in the pace of life in New York. This design aims to inculcate the energy of New York City whilst being an informative piece.

How I interpreted the art piece to translate into a map.

New York City is a place that constitutes diverse cultures, personalities, and paths of life. Every color block represents individual lifestyles with new avenues of learning. The blocks allow me to effectively design the grid structure of the city while making it visually engaging. The negative space in Central Park illustrates the information of the Art Museums I envisioned to showcase. A black background is a departure from the original Piet Mondrian piece to facilitate legibility for text and high contrast with a vibrant color palette.

Information + Art

Finding the balance between adapting the art and information in the same piece.

Broadway

Iron Giants.

An infographic representing 67 iron-type meteorites that have fallen on Earth.

How?

The Meteoritical Society collects data on meteorites that have fallen to Earth from outer space. This dataset includes the location, mass, composition, and fall year for over 45,000 meteorites that have struck our planet.

With the selected dataset, I categorized the asteroids by mass & type.

Dataset

Meteorite Landings.

Data on over 45k meteorites that have struck Earth

Interpreting the Dataset

Out of 45,000 meteorites, my process began with categorizing them by Types (Iron, H, LL, Aubrite, Eucrite). The overall pool for Iron type meteorites exceeded 20k. I further categorized them into 4 groups (Iron I, Iron II, Iron III, Iron IV). Further, the categorization was based on the top 67 meteoroids based on weight. This allowed working with a dataset enough to map out in a way where it is easy to understand and interpret.

Representation

Using Circles as the basic form to display the meteorites in a ranking order by weight. The overall circle is divided into 4 parts for 4 different types of iron meteorites.

Further Deep Dive

The 4 divided circles have concurrent lines starting from the smallest to the outermost line. Each line depicting 1 asteroid. The lines continue to branch out of their area for user's understanding of how they fare with the rest of the meteorites in terms of weight. Each section has a description to help the viewer understand which section depicts the type of meteorites grouped together.

Iron Type Classification

Classification outlines the particular section of Iron type meteorites.

Meteorite Details

Every relevant type of meteorite is labeled with its unique name taken from the dataset along with its weight written besides.