A

AIA CES Credits
AV Office
Abstract Publication
Academic Affairs
Academic Calendar, Columbia University
Academic Calendar, GSAPP
Admissions Office
Advanced Standing Waiver Form
Alumni Board
Alumni Office
Anti-Racism Curriculum Development Award
Architecture Studio Lottery
Assistantships
Avery Library
Avery Review
Avery Shorts

S

STEM Designation
Satisfactory Academic Progress
Scholarships
Skill Trails
Student Affairs
Student Awards
Student Conduct
Student Council (All Programs)
Student Financial Services
Student Health Services at Columbia
Student Organization Handbook
Student Organizations
Student Services Center
Student Services Online (SSOL)
Student Work Online
Studio Culture Policy
Studio Procedures
Summer Workshops
Support GSAPP
Close
This website uses cookies as well as similar tools and technologies to understand visitors' experiences. By continuing to use this website, you consent to Columbia University's usage of cookies and similar technologies, in accordance with the Columbia University Website Cookie Notice Group 6
Up meisterlin ericxia huichen minawei sp24 poster 1

(Re)Detecting & (Re)Examining Heat Vulnerability Index (HVI)

Inspired by McHarg’s Ecological Method in natural geographic research, the methodology in producing HVI indices use layered transparency mapping with the integration of nature and built environment factors. Utilizing multiple geographic information software and algorithms, the research fi rst examines heat exposure based on LANDSAT land cover data, and then examines heat sensitivity with data provided in Census and American Community Survey. This poster illustrates how the research combines these two factors with four different geospatial methodologies, which are Principle Component Analysis (PCA), ISO Clustering, Anselin Local Moran’s I, and Natural Break Reclassifi cation. The poster also refl ects data performance and characteristics of each indexing methodology and the distribution of HVI across the New York City.