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Exploratory spectral analysis in three-dimensional spatial point patterns
(Universidade Federal de Lavras, 2022)
Estimation of a preference map of new consumers for spatial load forecasting simulation methods using a spatial analysis of points
(Elsevier B.V., 2015-05-01)
The paper presents a spatial analysis of points especially suited to estimate a preference map for new consumers, which is then used as an analytical tool in spatial electric load forecasting. This approach is an exploratory ...
Spatial association to characterize the climate teleconnection patterns in Ecuador based on satellite precipitation estimates
(IEEE, 2020)
Climate teleconnections show remote and large-scale relationships between distant points on Earth. Their relations to precipitation are important to monitor and anticipate the anomalies that they can produce in the local ...
Size matters: point pattern analysis biases the estimation of spatial properties of stomata distribution
(Blackwell Publishing Ltd, 2017)
© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust Stomata distribution is an example of biological patterning. Formal methods used to study stomata patterning are generally based on point-pattern analysis, ...
Spatial-Temporal Estimation for Nontechnical Losses
(2016-02-01)
This paper presents a novel method for estimating the spatial distribution in geographical space of the nontechnical losses over time. The method progresses in two stages: in the first stage, a generalized additive model ...
Spatial distribution and regeneration strategies of the main forest species on Robinson Crusoe Island
(Sociedad de Biología de Chile, 2010)
Spatial pattern of landslides in Swiss Rhone Valley
(Springer, 2013-01)
The present study analyses the spatial pattern of quaternary gravitational slope deformations (GSD) and historical/present-day instabilities (HPI) inventoried in the Swiss Rhone Valley. The main objective is to test if ...
Prospective space–time surveillance with cumulative surfaces for geographical identification of the emerging cluster
(Springer Berlin Heidelberg, 2016)