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A Cellular Automaton Approach to Spatial Electric Load Forecasting
(Institute of Electrical and Electronics Engineers (IEEE), 2011-05-01)
A method for spatial electric load forecasting using a reduced set of data is presented. The method uses a cellular automata model for the spatiotemporal allocation of new loads in the service zone. The density of electrical ...
A Cellular Automaton Approach to Spatial Electric Load Forecasting
(Institute of Electrical and Electronics Engineers (IEEE), 2011-05-01)
A method for spatial electric load forecasting using a reduced set of data is presented. The method uses a cellular automata model for the spatiotemporal allocation of new loads in the service zone. The density of electrical ...
Possible causes of spatial variability in Diatraea saccharalis Fabr. (Lep., Crambidae) and its parasitoid populations in sugarcane fields in Brazil
(Blackwell Verlag Gmbh, 2003-11-01)
Based on the large data set stored in some sugarcane mills regarding the biological control programme of Diatraea saccharalis using the parasitoids Cotesia flavipes and tachinid flies, the aim of the present study was to ...
Possible causes of spatial variability in Diatraea saccharalis Fabr. (Lep., Crambidae) and its parasitoid populations in sugarcane fields in Brazil
(Blackwell Verlag Gmbh, 2003-11-01)
Based on the large data set stored in some sugarcane mills regarding the biological control programme of Diatraea saccharalis using the parasitoids Cotesia flavipes and tachinid flies, the aim of the present study was to ...
A review of regional science applications of satellite remote sensing in urban settingsA review of regional science applications of satellite remote sensing in urban settings
(Elsevier Sci Ltd, 2013-01)
This paper reviews the potential applications of satellite remote sensing to regional science research in urban settings. Regional science is the study of social problems that have a spatial dimension. The availability of ...
Using a non-homogeneous Poisson model with spatial anisotropy and change-points to study air pollution data
(Springer, 2019-06-01)
A non-homogeneous Poisson process is used to study the rate at which a pollutant's concentration exceeds a given threshold of interest. An anisotropic spatial model is imposed on the parameters of the Poisson intensity ...
Union Score And Fuzzy Logic Mineral Prospectivity Mapping Using Discretized And Continuous Spatial Evidence Values
(Pergamon-Elsevier Science LTDOxford, 2017)
Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression
(Springer, 2020)
Data with spatial dependence are often modeled by geoestatistical tools. In spatial regression, the mean response is described using explanatory variables with georeferenced data. This modeling frequently considers Gaussianity ...
Spatial aggregation and resampling expansion of big surveys: An analysis of wage inequality
(Blackwell Publishing, 2020-09-20)
Income inequality is becoming a growing concern, worldwide, with wage inequality being the root cause of its recent escalation. With the aim of adding to the knowledge on this subject, this paper focuses on the spatial ...