Search Results - "Oshan, Taylor M"

The spatial structure debate in spatial interaction modeling: 50 years on by Oshan, Taylor M

“…Spatial interaction and spatial structure are foundational geographical abstractions, though there is often variation in how they are conceptualized and…”
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Geographically weighted regression and multicollinearity: dispelling the myth by Fotheringham, A. Stewart, Oshan, Taylor M.

“…Geographically weighted regression (GWR) extends the familiar regression framework by estimating a set of parameters for any number of locations within a study…”
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Targeting the spatial context of obesity determinants via multiscale geographically weighted regression by Oshan, Taylor M, Smith, Jordan P, Fotheringham, A Stewart

“…Obesity rates are recognized to be at epidemic levels throughout much of the world, posing significant threats to both the health and financial security of…”
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mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale by Oshan, Taylor, Li, Ziqi, Kang, Wei, Wolf, Levi, Fotheringham, A.

“…Geographically weighted regression (GWR) is a spatial statistical technique that recognizes that traditional ‘global’ regression models may be limited when…”
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Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights by Li, Ziqi, A Stewart Fotheringham, Oshan, Taylor M, Levi John Wolf

“…Bandwidth, a key parameter in geographically weighted regression models, is closely related to the spatial scale at which the underlying spatially…”
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Potential and Pitfalls of Big Transport Data for Spatial Interaction Models of Urban Mobility by Oshan, Taylor M.

“…Massive amounts of data that characterize how people meet their economic needs, interact within social communities, and use shared resources are being produced…”
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Single and Multiscale Models of Process Spatial Heterogeneity by Wolf, Levi John, Oshan, Taylor M., Fotheringham, A. Stewart

“…Recent work in local spatial modeling has affirmed and broadened interest in multivariate local spatial analysis. Two broad approaches have emerged:…”
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A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques by Oshan, Taylor M., Fotheringham, A. Stewart

“…Geographically weighted regression (GWR) is a technique that explores spatial nonstationarity in data‐generating processes by allowing regression coefficients…”
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On the notion of 'bandwidth' in geographically weighted regression models of spatially varying processes by Fotheringham, A. Stewart, Yu, Hanchen, Wolf, Levi John, Oshan, Taylor M., Li, Ziqi

“…Models designed to capture spatially varying processes are now employed extensively in the social and environmental sciences. The main strength of such models…”
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Are we breaking bubbles as we move? Using a large sample to explore the relationship between urban mobility and segregation by Park, Souneil, Oshan, Taylor M., El Ali, Abdallah, Finamore, Alessandro

“…Segregation often dismantles common activity spaces and isolates people of different backgrounds, leading to irreconcilable inequalities that disfavour the…”
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A scoping review on the multiplicity of scale in spatial analysis by Oshan, Taylor M., Wolf, Levi J., Sachdeva, Mehak, Bardin, Sarah, Fotheringham, A. Stewart

“…Scale is a central concept in the geographical sciences and is an intrinsic property of many spatial systems. It also serves as an essential thread in the…”
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A primer for working with the Spatial Interaction modeling (SpInt) module in the python spatial analysis library (PySAL) by Oshan, Taylor

“…Although spatial interaction modeling is a fundamental technique to many geographic disciplines, relatively little software exists for spatial interaction…”
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Navigating the Methodological Landscape in Spatial Analysis: A Comment on “A Route Map for Successful Applications of Geographically‐Weighted Regression” by Oshan, Taylor M.

“…The development of “route maps” for spatial analytical methods is a pursuit with important ramifications. Comber et al. propose a route map to guide…”
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The PySAL Ecosystem: Philosophy and Implementation by Rey, Sergio J., Anselin, Luc, Amaral, Pedro, Arribas‐Bel, Dani, Cortes, Renan Xavier, Gaboardi, James David, Kang, Wei, Knaap, Elijah, Li, Ziqi, Lumnitz, Stefanie, Oshan, Taylor M., Shao, Hu, Wolf, Levi John

“…PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and…”
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