Data + Portfolio Fall 2017 by Benjamin Bbg Bromberg Gaber

benjamin bromberg gaber harvard gsd master in architecture I candidate

data portfolio supplement gis related samples from academic and professional experience | architecture and design portoflio: benbg.com/portfolio

collegiate athletic facilities database | populous architects boston, ma | summer 2017

ongoing summer research internship project to create database of collegiate athletic facilities and produce visualizations of spatial room data

interactive webmap | â&#x20AC;&#x2DC;aphrodite and the rabbisâ&#x20AC;&#x2122; marjorie lehman | spring 2015

assignment for undergrate senior seminar | http://www.benjaminbg.com/wheninrome.html

interactive webmap | â&#x20AC;&#x2DC;aphrodite and the rabbisâ&#x20AC;&#x2122; marjorie lehman | spring 2015

cities on map lead to textual reference and primary source evidence | http://www.benjaminbg.com/wheninrome.html

static map | ‘aphrodite and the rabbis’ burton visotzky | published september 2016

http://a.co/7EIgOYC

educational attainment static map | datascapes leah meisterlin | fall 2014

educational attainment interactive webmap | datascapes leah meisterlin | fall 2014

http://bit.ly/bbgeducationalattainment

multiple datasets | introduction to gis leah meisterlin | fall 2014

zooming through time static map | datascapes leah meisterlin | fall 2014

tracks nyc immigrant populations, public data sources, and business information over time | final project, completed with sara shalam

zooming through time webmap | datascapes leah meisterlin | fall 2014

http://cool.barnard.edu/datascapes/zooming-through-time/

multiple datasets | introduction to gis leah meisterlin | fall 2014

static map incorporating spatial analytics | introduction to gis leah meisterlin | fall 2014

final project | introduction to gis leah meisterlin | fall 2014 Summary of Key Findings

ANALYZING THE 1996

• Quality of Life generally improved in Georgia between 1990 to 2010 • Quality of Life index increased more between 2000 and 2010 than 1990 and 2000, but no patterns or conclusive findings • No spatial-based patterns or conclusive findings • Index requires more detailed data and further testing to determine utility as a tool • Larger outside patterns and trends may be affecting quality of life in the areas studied • Lack of pattern may be due to the Atlanta Games’ use of preexisting venues and their locations

OLYMPIC GAMES AND

ITS EFFECT ON THE

QUALITY OF LIFE

Photo 3: The Olympic Flag10

Quality of Life Index Quality of Life Index = ( Age Index x Income Index x Education Index ) (1/3) Median Age

Age Index = Income Index =

Education Index =

34.34 ( LN(Median Household Income) - LN(107721) ) ( LN(107721) - LN(100) )

√((

# of people in category x years 13.2

13 ) ( 20.6 )

Primary Data Sources • US Census Bureau 1990 Decennial Census Data • US Census Bureau 2000 Decennial Census Data • US Census Bureau 2010 American Community Survey 5-Year Estimate Data • US Census Bureau 2010 Census boundaries • UN Human Development Index

.951 34.34 = Georgia Median Age

Attainment Category / Years for Index Less than high school / 11

(Dropout (16) Enrollment age (5))

High school / 13 Less than BA / 15 BA / 17 More than BA / 20

Methodology

Benjamin Bromberg Gaber

GIS Methods & Case Studies Final Project December 2013

107721 = Median income of country with the highest median household income 100 = Median income of country with the lowest median household income 13 = Expected educational attainment for Georgia (high school diploma) 13.2 = Expected educational attainment for country with the lowest expected attainment 20.6 = Expected educational attainment for country with the highest expected attainment .951 = Given

Photo 4: The Olympic Torch11

For the purposes of this project, the most essential conclusions were based on how the quality of life index changes over time. In order to understand the data and organize it in a systematic way, the 1990 and 2000 US Census data and 2010 ACS data were spatially organized according to 2010 census boundaries. Due to the Modifiable Aerial Unit Problem, it had to be assumed for the purposes of this project that the data is consistent across the census tracts when reconciling differences in shape, size, and number of census tracts. After the data was fully organized, the quality of life per census tract was calculated for each year, and then the datasets were merged together. The quality of life calculation used here is based off of the UN index and assumes that the data used and index changes made are close enough to the original index. Change over time within the index was calculated and then compared spatially based on distance from the Olympic venues as compared to the state-wide mean.

Key findings, Primary Data Sources, Quality of Life Index, Methodology

http://www.benjaminbg.com/gis-methods-case-studies/

final project | introduction to gis leah meisterlin | fall 2014

http://www.benjaminbg.com/gis-methods-case-studies/

final project | introduction to gis leah meisterlin | fall 2014

http://www.benjaminbg.com/gis-methods-case-studies/

local law 11 analytics | experion design group new york, ny | 2014-2015

created proprietary database of hundreds of buildings across nyc to track potential clients for local law 11 analysis

graduate work