Results 21 to 30 of about 319,235 (305)
Modeling Spatial Interaction in Stochastic Frontier Analysis
Frontiers in Sustainable Food Systems, 2021 We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model specifications that account for unobserved heterogeneity in both the production and the efficiency sides of the stochastic frontier model in an empirical ...
Francisco J. Areal, Valerien O. Pede
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FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures.
PLoS Computational Biology, 2023 Spatial heterogeneity in the tumor microenvironment (TME) plays a critical role in gaining insights into tumor development and progression. Conventional metrics typically capture the spatial differential between TME cellular patterns by either exploring ...
Thao Vu +5 more
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Frontiers in Sustainable Food Systems, 2023 Landscape structures affect pests, depending on compositional heterogeneity (the number and proportions of different habitats), configurational heterogeneity (spatial arrangement of habitats), and spatial scales.
Zhi Wen +15 more
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Inference on spatial heterogeneity in tumor microenvironment using spatial transcriptomics data
Computational and Systems Oncology, 2022 In the tumor microenvironment (TME), functional interactions among tumor, immune, and stromal cells and the extracellular matrix play key roles in tumor progression, invasion, immune modulation, and response to treatment.
Antara Biswas +3 more
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Ecological Indicators, 2021 Spatial heterogeneity plays a crucial role in affecting the ecologial processes in natural ecosystems, yet how spatial heterogeneity of herbaceous vegetation in desert-grassland transitional zone varies with increased spatial scale are still poorly known.
Xiaoan Zuo +11 more
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Spatial heterogeneity automatic detection and estimation
Computational Statistics & Data Analysis, 2023 Spatial regression is widely used for modeling the relationship between a dependent variable and explanatory covariates. Oftentimes, the linear relationships vary across space, when some covariates have location-specific effects on the response. One fundamental question is how to detect the systematic variation in the model and identify which locations
Xin Wang 0042 +2 more
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A simulation study on specifying a regression model for spatial data: choosing between heterogeneity and autocorrelation effects [PDF]
, 2018 In this simulation study, regressions specified with autocorrelation effects are compared against those with relationship heterogeneity effects, and in doing so, provides guidance on their use. Regressions investigated are: (1) multiple linear regression,
Paul Harris, Harris, P.
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Seasonality, DNA degradation and spatial heterogeneity as drivers of eDNA detection dynamics
, 2021 In recent years, eDNA-based assessments have evolved as valuable tools for research and conservation. Most eDNA-based applications rely on comparisons across time or space.
Troth, Christopher R. +3 more
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Spatial Heterogeneity Analysis: Introducing a New Form of Spatial Entropy
Entropy, 2018 Distinguishing and characterizing different landscape patterns have long been the primary concerns of quantitative landscape ecology. Information theory and entropy-related metrics have provided the deepest insights in complex system analysis, and have ...
Chaojun Wang, Hongrui Zhao
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A locally explained heterogeneity model for examining wetland disparity
International Journal of Digital Earth, 2023 Identifying the factors influencing wetland variations is crucial for understanding the relationship of climate change with wetland conservation and management.
Yang Li +5 more
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