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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Gis Map Report Of The Robert Porter Allen Natural Area At The Sylvan Dell Environmental Center, Matthew Semeraro Aug 2021

Gis Map Report Of The Robert Porter Allen Natural Area At The Sylvan Dell Environmental Center, Matthew Semeraro

Student Project Reports

No abstract provided.


Urban Forests And Their Potential To Combat Food Insecurity: Analyzing Foods From Street Trees In New York City, Ny, Kristen Cooney Jul 2021

Urban Forests And Their Potential To Combat Food Insecurity: Analyzing Foods From Street Trees In New York City, Ny, Kristen Cooney

Environment and Sustainability Summer Fellows

There is growing recognition that urban forests have the potential to combat food insecurity via their edible parts, namely fruits, berries, and nuts. Many tree species commonly planted in urban spaces have edible parts that may fulfill the nutritional needs of city residents that are food insecure, but no one has analyzed the value of city street trees to understand this potential. I analyzed New York City’s street trees by each species and their edible parts to measure this potential.


Evaluating Urban Parks Accessibility And Equity: A Case Study Of Hartford, Ct And New Haven, Ct, Natalie Roach, Mara Tu May 2021

Evaluating Urban Parks Accessibility And Equity: A Case Study Of Hartford, Ct And New Haven, Ct, Natalie Roach, Mara Tu

Honors Scholar Theses

Public parks provide cities with environmental benefits, positive health effects, recreational opportunities, community building, educational spaces, and public amenities. However, certain populations have been systematically denied their fair share of these benefits because of unjust practices in the creation and maintenance of urban parks. With a lens of environmental justice, the goal of this research was to assess park quality and accessibility of two Connecticut cities, Hartford and New Haven, by gathering publicly available information as well as using GIS tools.

The Trust for Public Land (TPL) has an existing ParkScore rating system that evaluates the quality of a city’s …


Modelling Acoustics In Ancient Maya Cities: Moving Towards A Synesthetic Experience Using Gis & 3d Simulation, Graham Goodwin, Heather Richards-Rissetto Jan 2021

Modelling Acoustics In Ancient Maya Cities: Moving Towards A Synesthetic Experience Using Gis & 3d Simulation, Graham Goodwin, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

Archaeological analyses have successfully employed 2D and 3D tools to measure vision and movement within cityscapes; however, built environments are often designed to invoke synesthetic experiences. GIS and Virtual Reality (VR) now enable archaeologists to also measure the acoustics of ancient spaces. To move toward an understanding of synesthetic experience in ancient Maya cities, we employ GIS and 3D modelling to measure sound propagation and reverberation using the main civic-ceremonial complex in ancient Copán as a case study. For the ancient Maya, sight and sound worked in concert to create ritually-charged atmospheres and architecture served to shape these experiences. Together …


Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian Jan 2021

Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian

Geography

Snow avalanches impose a considerable threat to infrastructure and human safety in snow bound mountain areas. Nevertheless, the spatial prediction of snow avalanches has received little research attention in many vulnerable parts of the world, particularly in developing countries. The present study investigates the applicability of a stand alone convolutional neural network (CNN) model, as a deep learning approach, along with two metaheuristic algorithms including grey wolf optimization (CNN-GWO) and imperialist competitive algorithm (CNN-ICA) in snow avalanche modelling in the Darvan watershed, Iran. The analysis was based on thirteen potential drivers of avalanche occurrence and an inventory map of previously …