Data Description and Evaluation

  1. Data Description

Histogram, Mean, Min/Max, Standard Deviation, Skewness, etc.


zipf’s Law Analysis

Project Type: Provision Analysis for Spatial Arrangement and Population Trends
Research Site: Boston Metropolitan Region
Method: Rank-size distribution of city population, Zipf’s Law
Tool: Arc GIS, Excel
Date: 2017, GSD Towns and Settlements in Metropolitan Regions


Patronage analysis of the existing Dunkin Donuts stores Cambridge Market Area

Tool: Arc GIS, Urban Network Analysis (UNA) toolbox in Rhino, Excel
Date: 2017, GSD Advanced spatial analysis


2014 Seoul International Workshop: Bio-Digital City Tomorrow’s Seoul Project

Organizer: Seoul Metropolitan Government, La France En Coree Ambassade De France

Tutors: Dr. Jung Hyun Woo, Na An, Hyuni Jeong

Final Video Presentation

Team D-A: The Self-Sufficient City, Seoul

Team D-B: Seed Terminal, Urban Agriculture HQ in Seoul

Bio Digital City, Tomorrow’s Seoul is a workshop to discuss the topic of how to create a self-sustaining city. Giving lecturing on urban eco-systems and leading hand-on workshops for Students’ design works including architectural urban typology development and fabrications during the workshop.

Teaching Overview
Recently urban agriculture has been recognized as a significant industry to improve the quality of citizens’ lives along with the attention to healthy foods. Frank Llyod Wright suggested “Broadacre city (1934)” was…


For designing your research project

Source: google image

1.Formulating Research Question:

You need to have an idea, a topic for your research project. How will it help develop the theory and/or practice? Check with the literature that your research question has not already been addressed.


Source: quackth.blog

Qualitative Data

Ordinal Data: an ordinal scale in categories.

Nominal Data (nominal scale): a variable with categories without a natural order or ranking. But the order is arbitrary so mean, median or standard deviation would be meaningless. The percentage would be meaningful. (e.g. blood type, zip code, gender, race, eye color, etc.)

Quantitative Data

Continuous Data: an infinite number of possible values within
a selected range (e.g. temperature, height, weight range, etc.) - height can be 180cm or 180.00001cm or 180.0000000001cm (but, hardly notice the difference)

Discrete Data: a finite number of possible values (e.g. …


Concept Introduction and Interface Overview for NNA V2

Dr. Jung Hyun Woo and Nj Namju Lee have developed the NNA V2. for Rhino Grasshopper. The Beta 2 version is officially listed on the Food4Rhino in Oct 2020.

Download NNA V2: Link

Numeric Network Analysis (NNA) offers easy approaches for measuring distances and analyzing various accessibility and centrality concepts with spatial networks. There are new features and functionalities to measure the values of spatial networks, locations, buildings, and travel cost/time.

This add-on calculates a wide range of properties of mobility analysis to accelerate their design thinking and decision-making. Architects, designers, urban designers, and planners who engage with the…


Unit 2 Final Presentation

Tutors. Jung Hyun Woo, Namju Lee, SeungAh Choi, Soomeen Hahm

Team A — How to keep social connections during social distancing? (students: Jihoon Chung, Unsol Choi, Hazin Koo)

Team B — COVID Arcade Promenade (students: Jeong Dae Kim, Yi Geon Yoon, Jin Dong Kim)

Team C — Programming Mobility (students: Dalhyeon Kwak, Nada Saleh)


Public transit (Tram) network design and accessibility evaluation

Site: Tallinn, Capital of Estonia
Method: Accessibility analysis for multi-modal mobility (Reach and Gravity)
Date: 2016, GSD Advanced Seminar in City Form

Reach and gravity analyses on the current tram system at both city and site scales helps to find out the most desirable stops, and post-design quality.

At the city scale, a Reach analysis unfolds how many lines can reach buildings within 600m. The outcome shows the current network connects well the old town and its periphery areas that had been developed. Most accessible spots are located in the east of the Old Town. (Here, some but not many…


Lecture at NYIT, Oct 2020

1. Urban Design Quality and Walkability

: Street type & Walking culture

: Built environment factors and active accessibility (3Ds — Density, Diversity & Design)

2. Spatial Network Analysis in Transportation Geography

: How important is the location in the city? Is the place easy to access? or What is your walking route?

: Euclidean Distance vs. Network Distance / Distance Decay / Weights / Centrality Analysis (Betweenness, Closeness, Straightness, Degree)/ Accessibility Analysis (Reach, Gravity, Huff model)

: Project in Cambridge, “How do pedestrians choose routes during evening peak hours?”

: Project in Tallinn, “Design for mobility route”

3. Examples of Numeric Network Analysis using the NNA Toolbox

: About NNA Toolbox / Download NNA Addon GH (Food4Rhino)

: Ex1. Centrality Test (understand…

AxU Platform

All about urban spatial analytics and the Numeric Network Analysis (NNA) add-on for Rhino Grasshopper. (https://www.archiurbanplatform.com)

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