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pro vyhledávání: '"areal data"'
Autor:
Pathmanathan, Dharini, Dabo, Issa-Mbenard, Khoo, Tzung Hsuen, Ali-Hassan, Alaa, Dabo-Niang, Sophie
In this article, we present the bivariate and multivariate functional Moran's I statistics and multivariate functional areal spatial principal component analysis (mfasPCA). These methods are the first of their kind in the field of multivariate areal
Externí odkaz:
http://arxiv.org/abs/2408.08630
Autor:
Mousavi, Seyedeh Somayeh1 (AUTHOR), Mohammadpour, Adel1 (AUTHOR) adel@aut.ac.ir, Baghishani, Hossein2 (AUTHOR)
Publikováno v:
Communications in Statistics: Simulation & Computation. 2024, Vol. 53 Issue 11, p5385-5405. 21p.
Recent discussions on the future of metropolitan cities underscore the pivotal role of (social) equity, driven by demographic and economic trends. More equal policies can foster and contribute to a city's economic success and social stability. In thi
Externí odkaz:
http://arxiv.org/abs/2312.13992
Akademický článek
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Publikováno v:
Biometrical Journal (2023)
Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very large obtaining predictions can be computationally intensive or even
Externí odkaz:
http://arxiv.org/abs/2303.16549
Accurate modeling of spatial dependence is pivotal in analyzing spatial data, influencing parameter estimation and out-of-sample predictions. The spatial structure and geometry of the data significantly impact valid statistical inference. Existing mo
Externí odkaz:
http://arxiv.org/abs/2208.07900
Autor:
Goepp, Vivien, van de Kassteele, Jan
Publikováno v:
In Computational Statistics and Data Analysis April 2024 192
Spatial clustering detection methods are widely used in many fields including epidemiology, ecology, biology, physics, and sociology. In these fields, areal data is often of interest; such data may result from spatial aggregation (e.g. the number dis
Externí odkaz:
http://arxiv.org/abs/2204.10882
Spatial clustering detection has a variety of applications in diverse fields, including identifying infectious disease outbreaks, assessing land use patterns, pinpointing crime hotspots, and identifying clusters of neurons in brain imaging applicatio
Externí odkaz:
http://arxiv.org/abs/2204.10852
Publikováno v:
Biometrics, 2005 Dec 01. 61(4), 950-961.
Externí odkaz:
https://www.jstor.org/stable/3695906