Spatial modeling of rainfall patterns and groundwater on the coast of northeastern Brazil
The objective of this study was to characterize the patterns of monthly rainfall in the
mesoregions of Zona da Mata and Metropolitan of Recife in the state of Pernambuco, Brazil …
mesoregions of Zona da Mata and Metropolitan of Recife in the state of Pernambuco, Brazil …
Spatial autocorrelation analysis of cargo trucks on highway crashes in Chile
CA Blazquez, B Picarte, JF Calderón… - Accident Analysis & …, 2018 - Elsevier
The growing number of cargo trucks on highway crashes in recent years due to the increase
in freight movement in Chile motivates this study to identify the formation of persistent crash …
in freight movement in Chile motivates this study to identify the formation of persistent crash …
Fine-resolution precipitation mapping over Syria using local regression and spatial interpolation
Annual precipitation at 1 km 2 spatial resolution have been produced over Syria for a
referenced period of 1975–2010. The observations from 410 rain-gauges were interpolated …
referenced period of 1975–2010. The observations from 410 rain-gauges were interpolated …
Evidence of climatic change in Vietnam: Some implications for agricultural production
Systemic changes in environmental conditions, such as climate, can have a significant
impact on both natural and human systems. This paper provides an improved understanding …
impact on both natural and human systems. This paper provides an improved understanding …
[HTML][HTML] Gridded daily precipitation data for Iran: A comparison of different methods
A Bárdossy, E Modiri, F Anwar, G Pegram - Journal of Hydrology: Regional …, 2021 - Elsevier
Abstract Study region Iran Study focus Gridded precipitation products are of great interest for
hydrological applications. The inhomogeneous geography and uneven spatial distribution of …
hydrological applications. The inhomogeneous geography and uneven spatial distribution of …
Satellite imagery and machine learning for aridity disaster classification using vegetation indices
Abstract Central Java Province is one of provinces in Indonesia that has a high aridity risk
index. Aridity disaster risk monitoring and detection can be done more accurately in larger …
index. Aridity disaster risk monitoring and detection can be done more accurately in larger …
Performance assessment of spatio-temporal regression kriging with GAMLSS models as trends
ESDE Medeiros, RRDE Lima, RADE Olinda… - Anais da Academia …, 2022 - SciELO Brasil
The main objective of this study is to propose different probabilistic models for adjusting the
trend component, since it significantly influences the quality of the spatio-temporal …
trend component, since it significantly influences the quality of the spatio-temporal …
Rainfall random variability and its effects on flood risk management in Iran
M Javari - Modeling Earth Systems and Environment, 2022 - Springer
Abstract Changes in rainfall and topography are two essential factors in flooding changes
and flood risk management. In this study, we investigated rainfall (random changes) and …
and flood risk management. In this study, we investigated rainfall (random changes) and …
[HTML][HTML] Geo-Statistical Characterization of Annual Maximum Daily Rainfall Variability in Semi-Arid Regions
In the Wadi Cheliff basin (Algeria), a 48-year (1971–2018) time series of annual maximum
daily rainfall was studied to identify and quantify trends observed at 150 rain gauges. Initial …
daily rainfall was studied to identify and quantify trends observed at 150 rain gauges. Initial …
Geospatial least squares support vector regression fused with spatial weight matrix
H Wang, L Li, L Che, H Kong, Q Wang… - … International Journal of …, 2021 - mdpi.com
Due to the increasingly complex objects and massive information involved in spatial
statistics analysis, least squares support vector regression (LS-SVR) with a good stability …
statistics analysis, least squares support vector regression (LS-SVR) with a good stability …