Towards Understanding Real-Estate Ownership in New York City

Hoang-Vu, Tuan-Anh; Been, Vicki; Ellen, Ingrid Gould; Weselcouch, Max; Freire, Juliana

doi:10.1145/2630729.2630746

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…These systems are primarily designed to analyze urban data generated by the urban environment. For example, there are individual visual analytics systems in transportation and mobility [9], [10], [11], [12], air pollution [13], real-estate ownership [14], [15] and public utility service problems [16]. There are also tools developed to multiple urban data sets [17], [18].…”

Section: Related Workmentioning

confidence: 99%

Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time

Miranda

Doraiswamy

Lage

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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Large scale shadows from buildings in a city play an important role in determining the environmental quality of public spaces. They can be both beneficial, such as for pedestrians during summer, and detrimental, by impacting vegetation and by blocking direct sunlight. Determining the effects of shadows requires the accumulation of shadows over time across different periods in a year. In this paper, we propose a simple yet efficient class of approach that uses the properties of sun movement to track the changing position of shadows within a fixed time interval. We use this approach to extend two commonly used shadowing techniques, shadow maps and ray tracing, and demonstrate the efficiency of our approach. Our technique is used to develop an interactive visual analysis system, Shadow Profiler, targeted at city planners and architects that allows them to test the impact of shadows for different development scenarios. We validate the usefulness of this system through case studies set in Manhattan, a dense borough of New York City.

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Section: Related Workmentioning

confidence: 99%

Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time

Miranda

Doraiswamy

Lage

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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“…These systems are often motivated by open data initiatives requiring city agencies to make their data publicly available through open data portals [12,11,63,27,4], which played a central role in helping experts to gain a deeper understanding of cities, evaluate policies, and plan developments [71]. Examples of such systems include ones designed to explore human mobility [2,22,3,61], public policy [13], air pollution [15,29], urban traffic [28], public transportation [57,69], real-estate ownership [32], land use labelling [62], urban change [46], and shadow impact on public spaces [45].…”

Section: Related Workmentioning

confidence: 99%

A Visual Analytics System for Profiling Urban Land Use Evolution

Santos¹,

Hosseini²,

Rulff³

et al. 2021

Preprint

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The growth of cities calls for regulations on how urban space is used and zoning resolutions define how and for what purpose each piece of land is going to be used. Tracking land use and zoning evolution can reveal a wealth of information about urban development. For that matter, cities have been releasing data sets describing the historical evolution of both the shape and the attributes of land units. The complex nature of zoning code and land-use data, however, makes the analysis of such data quite challenging and often time-consuming. We address these challenges by introducing URBAN CHRONICLES, an open-source web-based visual analytics system that enables interactive exploration of changes in land use patterns. Using New York City's Primary Land Use Tax Lot Output (PLUTO) as an example, we show the capabilities of the system by exploring the data over several years at different scales. URBAN CHRONICLES supports onthe-fly aggregation and filtering operations by using a tree-based data structure that leverages the hierarchical nature of the data set to index the shape and attributes of geographical regions that change over time. We demonstrate the utility of our system through a set of case studies that analyze the impact of Hurricane Sandy on land use attributes, as well as the effects of proposed rezoning plans in Downtown Brooklyn.

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“…However, the increasing availability of urban data sets creates opportunities to analyze and visualize cities in new ways. This has resulted in a number of visual analytics systems designed to interactively explore and analyze data [29,64,26], and seek insight into transportation and mobility [3,93], air pollution [69], real-estate ownership [39], and shadow impact on public spaces [57]. A comprehensive survey of research into urban visual analytics is presented in Zheng et al [94].…”

Section: Related Workmentioning

confidence: 99%

Urban Mosaic

Miranda

Hosseini

Lage

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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Urban planning is increasingly data driven, yet the challenge of designing with data at a city scale and remaining sensitive to the impact at a human scale is as important today as it was for Jane Jacobs. We address this challenge with Urban Mosaic, a tool for exploring the urban fabric through a spatially and temporally dense data set of 7.7 million street-level images from New York City, captured over the period of a year. Working in collaboration with professional practitioners, we use Urban Mosaic to investigate questions of accessibility and mobility, and preservation and retrofitting. In doing so, we demonstrate how tools such as this might provide a bridge between the city and the street, by supporting activities such as visual comparison of geographically distant neighborhoods, and temporal analysis of unfolding urban development.

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Towards Understanding Real-Estate Ownership in New York City

Cited by 5 publications

References 3 publications

Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time

Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time

A Visual Analytics System for Profiling Urban Land Use Evolution

Urban Mosaic

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