Results 41 to 50 of about 12,097 (212)
Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms
, 2010 The paper presents an approach for mapping of precipitation data. The main goal is to perform spatial predictions and simulations of precipitation fields using geostatistical methods (ordinary kriging, kriging with external drift) as well as machine ...
Tuia, D. +7 more
core +1 more source
Conceptual hydrogeology model to Bajo Cauca antioqueño: a tropical aquifer system
Revista Facultad de Ingeniería Universidad de Antioquia, 2013 This paper presents a hydrogeology conceptual model of Bajo Cauca Antioqueño obtained from hydrogeology exploration work and geostatistics modeling.
Teresita Betancur +2 more
doaj +1 more source
International Journal of Climatology, EarlyView.ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley +1 more source
Geoinformatics FCE CTU, 2012 Geostatistics is a scientific field which provides methods for processing spatial data. In our project, geostatistics is used as a tool for describing spatial continuity and making predictions of some natural phenomena.
Adéla Volfová, Martin Šmejkal
doaj +1 more source
PLoS ONE, 2020 Source apportionment of potentially toxic elements in soils is a critical step for devising soil sustainable management strategies. However, misjudgment or imprecision can occur when traditional statistical methods are applied to identify and apportion ...
Cao Jianfei +4 more
doaj +1 more source
Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy
International Journal of Climatology, EarlyView.This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti +2 more
wiley +1 more source
Spatial distribution of soil chemical properties in pasture and forest area
Pesquisa Agropecuária Tropical, 2014 The knowledge on spatial distribution of soil properties by means of geostatistics is important as an indicator for a better soil use and management. This study aimed at evaluating the spatial distribution of soil chemical properties, in a forest and ...
Renato Eleoterio de Aquino +4 more
doaj +1 more source
Application of geostatistics in spatial analyses [PDF]
Glasnik Srpskog Geografskog Društva, 2007 During the last decade, the development of computational technique has influenced wider implementation of numerical methods in different software applications, which are oriented to processing, presentation, and analysis of spatial data.
Bajat Branislav, Blagojević Dragan
doaj +1 more source
Energies, 2023 Predicting the spatial distribution of braided fluvial facies reservoirs is of paramount significance for oil and gas exploration and development. Given that seismic materials enjoy an advantage in dense spatial sampling, many methods have been proposed ...
Qiangqiang Kang +4 more
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From Rare to Recurrent: Intensifying Hot–Dry Extremes Across Romania
International Journal of Climatology, EarlyView.Romania has undergone a marked shift toward more frequent and spatially extensive compound hot–dry months since the 1990s, with persistent hotspots in the eastern Moldavian Plateau and the lower Danube–Bărăgan–Black Sea lowlands and comparatively buffered conditions at higher elevations.
Viorica Nagavciuc, Monica Ionita
wiley +1 more source