\documentclass[10pt]{article}

\usepackage{fullpage}
\usepackage{setspace}
\usepackage{parskip}
\usepackage{titlesec}
\usepackage[section]{placeins}
\usepackage{xcolor}
\usepackage{breakcites}
\usepackage{lineno}
\usepackage{hyphenat}





\PassOptionsToPackage{hyphens}{url}
\usepackage[colorlinks = true,
            linkcolor = blue,
            urlcolor  = blue,
            citecolor = blue,
            anchorcolor = blue]{hyperref}
\usepackage{etoolbox}
\makeatletter
\patchcmd\@combinedblfloats{\box\@outputbox}{\unvbox\@outputbox}{}{%
  \errmessage{\noexpand\@combinedblfloats could not be patched}%
}%
\makeatother


\usepackage[round]{natbib}
\let\cite\citep




\renewenvironment{abstract}
  {{\bfseries\noindent{\abstractname}\par\nobreak}\footnotesize}
  {\bigskip}

\titlespacing{\section}{0pt}{*3}{*1}
\titlespacing{\subsection}{0pt}{*2}{*0.5}
\titlespacing{\subsubsection}{0pt}{*1.5}{0pt}


\usepackage{authblk}


\usepackage{graphicx}
\usepackage[space]{grffile}
\usepackage{latexsym}
\usepackage{textcomp}
\usepackage{longtable}
\usepackage{tabulary}
\usepackage{booktabs,array,multirow}
\usepackage{amsfonts,amsmath,amssymb}
\providecommand\citet{\cite}
\providecommand\citep{\cite}
\providecommand\citealt{\cite}
% You can conditionalize code for latexml or normal latex using this.
\newif\iflatexml\latexmlfalse
\providecommand{\tightlist}{\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}%

\AtBeginDocument{\DeclareGraphicsExtensions{.pdf,.PDF,.eps,.EPS,.png,.PNG,.tif,.TIF,.jpg,.JPG,.jpeg,.JPEG}}

\usepackage[utf8]{inputenc}
\usepackage[english]{babel}










\begin{document}

\title{The Wealth of Literaturedraft}



\author[1]{Marium Sultan}%
\author[2]{CUSP capstone manager Federica Bianco}%
\affil[1]{New York University}%
\affil[2]{NYU Center for Urban Science \& Progress}%


\vspace{-1em}



  
  \date{May 08, 2024}


\begingroup
\let\center\flushleft
\let\endcenter\endflushleft
\maketitle
\endgroup








\sloppy


\textbf{PUI2017 Extra Credit Project Proposal \textless{}Marium Sultan,
MariumS, mas1300\textgreater{}}

\textbf{Problem Description:}

I wonder if the median income of a neighborhood correlates with the
accessibility of books, measured as the presence of bookstores and/or
public libraries. Neighborhoods may be defined as PUMA region, census
tract, or community district (not yet decided).~

I want to test how strong the correlation is~neighborhood income and
amount of bookstores in that neighborhood, and~how strong the
correlation is~neighborhood income and amount of public libraries in
that neighborhood. Depending on how many there are of these two
institutions overall I may do a binary rather than quantity designation
of presence, for example 1 for that there is a library and 0 for that
there is not.

I predict that neighborhoods with higher median incomes will be more
likely to contain bookstores and libraries. I also wonder if there is a
difference in which neighborhoods contain libraries versus which contain
bookstores, and if one of these two institutions is more equitably
distributed.

\textbf{Data:~}

I will gather the income data from either the American Community Survey
or Furman Center's CoreData portal. The locations of the public
libraries~are on NYC OpenData, but I envision the bookstore data will be
harder to find. One can search for bookstores on Google Maps, and I may
use some form of webscraping to collect the location data. I plan to
remove unnecessary columns and do other general cleaning. Then I will
group the information in the the datasets by neighborhood, and do a
join. The grouping could be done by a function or API that returns
neighborhood from coordinates.~

\textbf{Analysis:}

In order to do my correlation analysis I will run a OLS regression on
income vs bookstores, one on income vs public libraries, and one on
income versus both grouped together. I will also use Moran's I and
Ripley's K for spacial correlation. For these methods I may not need
neighborhood boundaries but instead test income information of areas
surrounding bookstores and libraries and compare that to areas further
away from these institutions, and with the city average.~

\textbf{References:}

What sparked this idea is my memory of reading an article saying that
there are no bookstores in the Bronx. The Bronx is known overall as a
lower income than the other boroughs so I wondered if that was the key
factor in this lack
(\href{http://gothamist.com/2016/11/03/no_bookstores_the_bronx.php}{1}).~Steven
Melendez examined over 60 years of bookstore data and noted the
decreases. There is also a point map of bookstores on the page about
their disappearance, so I know there are enough sources to make a map of
bookstores like I envisioned
(\href{http://gothamist.com/2015/01/30/rip_nyc_bookstores.php}{4}). I
wonder how Melendez collected this location data and there is way to
replicate his technique.~

\textbf{Deliverable:}

The deliverable will be a statistical conclusion, and three maps. They
will all be choropleth maps of income. One will be overlaid with points
mapping bookstores, one with points mapping public libraries, and one
with points mapping both (in different colors).~

\textbf{Bibliography:~}

1.~\url{http://gothamist.com/2016/11/03/no\_bookstores\_the\_bronx.php}

2.~\url{https://www.citylab.com/design/2012/02/literacy-income-and-education-cities/1164/}

3.~\url{https://www.citylab.com/design/2012/01/americas-most-literate-cities-not-necessarily-wealthiest/1063/}

4.~\url{http://gothamist.com/2015/01/30/rip\_nyc\_bookstores.php}

\selectlanguage{english}
\FloatBarrier
\end{document}

