Geographic Information Sciences Commons^™

Poverty In New York City: Social, Demographic And Spatial Characteristics, 1990-2019, Marco Castillo

Center for Latin American, Caribbean, and Latino Studies

Introduction:

This report analyzes trends in poverty in New York City over a period spanning from the year 1990 to 2019, including maps of poverty hot spots in the city.

Methods:

This report uses the American Community Survey PUMS (Public Use Microdata Series) data for all years released by the Census Bureau and reorganized for public use by the Minnesota Population Center, University of Minnesota, IPUMSusa, (https://usa.ipums.org/usa/index.shtml). See Public Use Microdata Series Steven Ruggles, J. Trent Alexander, Katie Genadek, Ronald Goeken, Matthew B. Schroeder, and Matthew Sobek. Integrated Public Use Microdata Series: Version 5.0 [Machine-readable database]. Minneapolis: University of Minnesota, …

Ancient Lowland Maya Neighborhoods: Average Nearest Neighbor Analysis And Kernel Density Models, Environments, And Urban Scale, Amy E. Thompson, John P. Walden, Adrian Z. Chase, Scott R. Hutson, Damien Marken, Bernadette Cap, Eric Fries, M. Rodrigo Guzman Piedrasanta, Timothy S. Hare, Sherman W. Horn Iii, George J. Micheletti, Shane M. Montgomery, Jessica Munson, Heather Richards-Rissetto, Kyle Shaw-Müller, Traci Ardren, Jaime J. Awe, M. Kathryn Brown, Michael Callaghan, Claire E. Ebert, Anabel Ford, Rafael A. Guerra, Julie A. Hoggarth, Brigitte Kovacevich, John M. Morris, Holley Moyes, Terry G. Powis, Jason Yaeger, Brett A. Houk, Keith M. Prufer, Arlen F. Chase, Diane Z. Chase

Department of Anthropology: Faculty Publications

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) …

Accessing 3d Data, Francesca Albrezzi, John Bonnett, Tassie Gniady, Heather Richards-Rissetto, Lisa Snyder

Department of Anthropology: Faculty Publications

The issue of access and discoverability is not simply a matter of permissions and availability. To identify, locate, retrieve, and reuse 3D materials requires consideration of a multiplicity of content types, as well as community and financial investment to resolve challenges related to usability, interoperability, sustainability, and equity. This chapter will cover modes, audiences, assets and decision points, technology requirements, and limitations impacting access, as well as providing recommendations for next steps.

‘Big’ And ‘Little’ Quo Vadis? In The United States, 1913–1916: Using Gis To Map Rival Modes Of Feature Cinema During The Transitional Era, Jeffrey Klenotic

Faculty Publications

This article emanates from a geospatial database of over 600 premieres of the Cines company’s Quo Vadis? (1913), an eight-reel film distributed by George Kleine, and nearly 250 premieres of the Quo Vadis Film Company’s Quo Vadis? (1913), a three-reel film of ambiguous origins distributed by Paul De Outo. By mapping local premieres of both films across the United States from 1913 through 1916, the data show with spatiotemporal precision the spread of Quo Vadis? as one of cinema’s early blockbuster titles. Yet within this national phenomenon, the two films’ footprints reveal differing cultural geographies served by competing efforts to …