Top stories published by Data Mining the City — City Playlab in 2022

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Data Mining the City — City Playlab

Top Stories published by Data Mining the City — City Playlab in 2022

2022

June

July

August

September

October

November

December

Richard Chou in Data Mining the City — City Playlab

Feb 22, 2022

Space Syntax: Urban Network & Spatial Relations

Richard Chou in Data Mining the City — City Playlab

Feb 9, 2022

Tutorial 3 — Working with Spatial Data in Grasshopper

Data Structure | Import Spatial Data to…

Richard Chou in Data Mining the City — City Playlab

Jan 17, 2022

Tutorial 1 — GIS Basics

GIS Intro | Downloading Open Data | Working spatial data

Richard Chou in Data Mining the City — City Playlab

Mar 22, 2022

Tutorial 5 — Trip Simulation with Urbano

Urbano | Mobility Modeling | Trip Generation

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Richard Chou in Data Mining the City — City Playlab

Jan 17, 2022

Tutorial 2 — Grasshopper Intro

Richard Chou in Data Mining the City — City Playlab

Apr 6, 2022

Tutorial 7 — Advanced Trip Modeling & Animating Time-Based Analysis

Data Modeling | Advanced Trip…

Richard Chou in Data Mining the City — City Playlab

Jan 25, 2022

Urban Data and What to Do With It

Data, Spatial Data, & GIS

1 response

Richard Chou in Data Mining the City — City Playlab

Feb 23, 2022

Tutorial 4 — Network Analysis

Network Analysis | Space Syntax | DecodingSpaces Toolkit

Richard Chou in Data Mining the City — City Playlab

Jan 25, 2022

Spatial Model & Simulations

The following lecture is in reference of “Spatial Models: What? Why? How?” by Dan O Sullivan.

Richard Chou in Data Mining the City — City Playlab

Jan 17, 2022

Syllabus 2022

Data Mining the City

A4834–1 / Spring 2022
Richard Chou
Wednesday 7PM — 9 PM
Avery 114

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These were the top 10 stories published by Data Mining the City — City Playlab in 2022. You can also dive into monthly archives for 2022 by using the calendar at the top of this page.

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Data Mining the City — City Playlab

This course focuses on the application of tools to model, analyze, and simulate the urban environment. Students will develop a critical understanding of data science concepts and urban data models, as well as skills in data processing, analysis, and visualization.

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