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A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity

Industrial Conference on Data Mining, 2021
Spatial data are ubiquitous, massively collected, and widely used to support critical decision-making in many societal domains, including public health (e.g., COVID-19 pandemic control), agricultural crop monitoring, transportation, etc.
Yiqun Xie   +6 more
semanticscholar   +1 more source

A generalized heterogeneity model for spatial interpolation

International Journal of Geographical Information Science, 2022
Spatial heterogeneity refers to uneven distributions of geographical variables. Spatial interpolation methods that utilize spatial heterogeneity are sensitive to the way in which spatial heterogeneity is characterized.
Peng Luo   +4 more
semanticscholar   +1 more source

Phenotypically heterogeneous populations in spatially heterogeneous environments

Physical Review E, 2014
The spatial expansion of a population in a nonuniform environment may benefit from phenotypic heterogeneity with interconverting subpopulations using different survival strategies. We analyze the crossing of an antibiotic-containing environment by a bacterial population consisting of rapidly growing normal cells and slow-growing, but antibiotic ...
Patra, P., Klumpp, S.
openaire   +3 more sources

Spatially heterogeneous Lotka–Volterra competition

Nonlinear Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández-Rincón, Sergio   +1 more
openaire   +2 more sources

Spatial Heterogeneity in Crime Analysis

CrimRxiv, 2012
Issues related to the modifiable areal unit problem are well-understood within geography. Though these issues are acknowledged in the spatial crime analysis literature, there is little research that assesses their impact. In fact, much of the cited spatial crime analysis literature that investigates the impact of modified areal units suggests that ...
Martin A. Andresen, Nick Malleson
openaire   +1 more source

Spatial Heterogeneity in Epidemic Models

Journal of Theoretical Biology, 1996
Spatial heterogeneity is believed to play an important role in the persistence and dynamics of epidemics of childhood diseases because asynchrony between populations within different regions allows global persistence, even if the disease dies out locally. A simple multi-patch (metapopulation) model for spatial heterogeneity in epidemics is analysed and
A L, Lloyd, R M, May
openaire   +2 more sources

Heterogeneous Spatial Reasoning

2005
In this article, we investigate the problem of checking consistency in a hybrid formalism, which combines two essential formalisms in qualitative spatial reasoning: topological formalism and cardinal direction formalism. Instead of using conventional composition tables, we investigate the interactions between topological and cardinal directional ...
Haibin Sun, Wenhui Li
openaire   +1 more source

Temporal heterogeneity increases with spatial heterogeneity in ecological communities

Ecology, 2018
AbstractHeterogeneity is increasingly recognized as a foundational characteristic of ecological systems. Under global change, understanding temporal community heterogeneity is necessary for predicting the stability of ecosystem functions and services.
Scott L. Collins   +13 more
openaire   +2 more sources

Spatial Price Discrimination with Heterogeneous Products

The Review of Economic Studies, 1988
Summary: Product heterogeneity is introduced into the context of spatial price discrimination. Many of the strong properties of the standard homogeneous goods case (which are attained as a limit case here) are shown to be no longer valid. In particular, the social optimum is no longer sustainable as a market equilibrium unless products are either ...
Anderson, Simon P., de Palma, André
openaire   +1 more source

Heterogeneous recurrence analysis of spatial data

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
Nonlinear dynamical systems often generate significant amounts of observational data such as time series, as well as high-dimensional spatial data. To delineate recurrence dynamics in the spatial data, prior efforts either extended the recurrence plot, which is a widely used tool for time series, to a four-dimensional hyperspace or utilized the network
Hui Yang   +2 more
openaire   +2 more sources

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