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Collaborative Research: HNDS-I: Data Infrastructure for Research on Historical Settlement and Population Growth in the United States

Collaborative Research: HNDS-I: Data Infrastructure for Research on Historical Settlement and Population Growth in the United States
合作研究:HNDS-I:美国历史聚落和人口增长研究的数据基础设施
批准号:
2121976
负责人:
Stefan Leyk
金额:
$56.21万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30

项目摘要

项目成果

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中文摘要
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英文摘要
This project creates a data platform called HiSPLUS (Historical Settlement and Population Layers for the U.S.) that describes the history of population and housing patterns in the United States from 1860 to 2020. Scientists can use this new platform to study the social, demographic, urban and environmental transformations experienced throughout the country over the past two centuries. The project brings together data from several different sources. Housing and land parcel records are merged with building footprint and population data and transformed into publicly available data that can be used by everyone. The platform contains spatial data and data tables for most of the 48 conterminous states in the U.S., data that describe the built environment and population at fine spatial and temporal resolutions. This publicly accessible platform transforms the way scientists study social processes related to the built environment in rural and urban areas. In the future, HiSPLUS will be important for answering questions about land use, urban planning, and disaster management.This project creates new datasets that include information about the characteristics of built structures, land use, and the distribution of the population, and merges them together. Linking these data in a single data platform creates a novel data resource that contains historical housing and population datasets with the highest spatial and temporal resolution to date. The HiSPLUS platform advances innovative methods of data analysis by developing approaches for merging spatial data from satellite imagery with population data and land parcel records and developing tools for correcting errors in the data as it evolves over time. The project also develops new models for local population counts that are based on the characteristics of housing structures. Such data provide scientists with the opportunity to answer important questions about the evolution of the built environment. The platform makes possible new research on long-run changes in the U.S. population, land use, urban development, and transportation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(14)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1080/15481603.2022.2131192
发表时间: 2022
期刊: GISCIENCE & REMOTE SENSING
影响因子: 6.7
作者: [Uhl, Johannes H., Leyk, Stefan]
通讯作者: Leyk, Stefan
DOI: 10.1038/s41597-022-01591-0
发表时间: 2022-08-13
期刊: SCIENTIFIC DATA
影响因子: 9.8
作者: [Mc Shane, Caitlin, Uhl, Johannes H., Leyk, Stefan]
通讯作者: Leyk, Stefan
HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020)
HISDAC-ES:西班牙历史结算数据汇编(1900-2020)
DOI: 10.6084/m9.figshare.22009643.v2
发表时间: 2023
期刊: figshare
影响因子: --
作者: [Uhl, Johannes H., Royé, Dominic, Burghardt, Keith, Aldrey Vázquez, José Antonio, Borobio Sanchiz, Manuel Sanchiz, Leyk, Stefan]
通讯作者: Leyk, Stefan
DOI: 10.1371/journal.pone.0269741
发表时间: 2022
期刊: PloS one
影响因子: 3.7
作者: []
通讯作者:
8
    The Creeping Disaster along the Coast: Built Environment, Coastal Communities and Population Vulnerability to Sea Level Rise
    • 批准号:
      1924670
    • 项目类别:
      Standard Grant
    • 资助金额:
      $45.0万
    • 财政年份:
      2019
    • 负责人:
      Stefan Leyk
    • 依托单位:
    III: Medium: Collaborative Research: Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Spatial-Temporal Datasets
    • 批准号:
      1563933
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $32.12万
    • 财政年份:
      2016
    • 负责人:
      Stefan Leyk
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)