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Projected Spatiotemporal Evolution of Urban Form Using the SLEUTH Model with Urban Master Plan Scenarios
Get PDFUrban growth, a pivotal characteristic of economic development, brings many environmental and ecological challenges. Modeling urban growth is essential for understanding its spatial dynamics and projecting future trends, providing insights for effective urban planning and sustainable development. This study aims to assess the spatiotemporal patterns of urban growth and morphological evolution in mainland Shanghai from 2016 to 2060 using the SLEUTH model under multiple growth scenarios based on the Shanghai Urban Master Plan (2017–2035). A comprehensive set of urban growth metrics and quadrant analysis were employed to quantify the magnitude, rate, intensity, and direction of urban growth, as well as morphological evolution, over time. We found that (1) significant urban growth was observed across most scenarios, with the exception of stringent land protection. The most substantial growth occurred prior to 2045 with an obvious north–south disparity, where southern regions demonstrated more pronounced increases in urban land area and urbanization rates. (2) The spatiotemporal patterns of the rate and intensity of urban growth exhibited similar characteristics. The spatial pattern followed a “concave shape” pattern and displayed anisotropic behavior, with the high values for these indicators primarily observed before 2025. (3) The urban form followed a diffusion–coalescence process, with patch areas dominated by the infilling mode and patch numbers dominated by the edge-expansion mode. This resulted in significant alternating urban growth models in the infilling, edge-expansion, and leapfrog modes over time, influenced by varying protection intensities. These findings provide valuable insights for forward-looking urban planning, land use optimization, and the support of sustainable urban development
Personality and Spatial Learning in Poison Frogs
No full textThis video shows my Burch Fellowship over the summer of 2024 at La Selva, a research station in Costa Rica. I studied the predictors of learning behavior of Dendrobates auratus poison frogs as a researcher in the Burmeister Lab.
Contextual Heterosexism Database: Phase 2
Get PDFThis contextual database, Contextual Heterosexism Database - Phase 2 (CHD2), further expands the collection of contextual data available to users of The National Longitudinal Study of Adolescent to Adult Health (Add Health) through the provision of state level measures from the Harvard Implicit Associations Test (IAT) database and city-level measures from the Human Rights Campaign’s (HRC) Municipal Equality Index. These measures correspond to Waves 4 and 5 of Add Health
Add Health as a Resource for the Science of the Exposome: Structural Racism Measures Release 1
Get PDFThe dataset described in this user guide is a first release of structural racism measures, which collectively, aim to reflect the interconnection of institutions, laws, practices, and ideologies based on historically rooted relations of domination and subordination that organize racialized groups in a hierarchical structure. This first release consists of a rich set of structural racism indicators across historical and cultural domains at varying geographic levels (state, county). The measures described in this guide were assembled, cleaned, and merged to Add Health’s core and biological data by Taylor Hargrove, Chantel Martin, Brian Frizzelle, and Alena Sorensen D’Alessio under the direction of Robert A. Hummer, at the Carolina Population Center (CPC) at the University of North Carolina at Chapel Hill