Results 71 to 80 of about 5,570 (187)
Hungarian Geographical Bulletin, 2015 Due to former soil surveys and mapping activities significant amount of soil information has accumulated in Hungary. Present soil data requirements are mainly fulfilled with these available datasets either by their direct usage or after certain specific ...
László Pásztor +7 more
doaj +1 more source
Key sources of uncertainty in process‐based modeling of live fuel moisture content
New Phytologist, EarlyView.Location of the selected live fuel moisture content (LFMC) sampling sites. Summary Process‐based models that mechanistically represent water‐carbon balances in the atmosphere‐soil–plant continuum are an attractive tool for monitoring live fuel moisture content (LFMC) dynamics, a key variable when assessing fire danger.
Rodrigo Balaguer‐Romano +10 more
wiley +1 more source
Frontiers in Built EnvironmentThe growth of a city is typically accompanied by densification and sprawl, the former through verticalization, urban renewal, and the filling in of empty spaces.
C. Brabant, V. Dubreuil, S. Dufour
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Kriging Methodology and Its Development in Forecasting Econometric Time Series [PDF]
Statistika: Statistics and Economy Journal, 2017 One of the approaches for forecasting future values of a time series or unknown spatial data is kriging. The main objective of the paper is to introduce a general scheme of kriging in forecasting econometric time series using a family of linear ...
Andrej Gajdoš +2 more
doaj
Geologia Croatica, 2015 Modelling spatial variability and uncertainty is a highly challenging subject in soil- and geosciences. Regression kriging (RK) has several advantages; nevertheless it is not able to model the spatial uncertainty of the target variable.
Gábor Szatmári +3 more
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Sedimentology, EarlyView.ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim +5 more
wiley +1 more source
Agricultural &Environmental Letters, Volume 11, Issue 2, December 2026.Abstract Soil nitrogen (N) mineralization governs plant‐available N from soil organic matter and microbial turnover, and is typically estimated as potentially mineralizable nitrogen (PMN) via anaerobic incubations or as N0 and mineralization rate (k) via long‐term aerobic incubations.
Bibash Rokaya +3 more
wiley +1 more source
Late‐Onset Rheumatoid Arthritis and Air Pollution in a Multiethnic Cohort
Arthritis &Rheumatology, Volume 78, Issue 7, Page 1425-1436, July 2026.Objective To evaluate the effects of ambient air pollution on rheumatoid arthritis (RA) incidence in a racially and ethnically diverse population. Methods This analysis included 42,152 California Multiethnic Cohort participants, aged ≥65 years (>70% African American and Latino adults) who were enrolled in the Fee For Service component of Medicare (2001–
Anna H. Wu +14 more
wiley +1 more source
Environmetrics, Volume 37, Issue 5, July 2026.ABSTRACT Obtaining accurate water level predictions is essential for water resource management and implementing flood mitigation strategies. Several data‐driven models can be found in the literature. However, there has been limited research with regard to addressing the challenges posed by large spatio‐temporally referenced hydrological datasets, in ...
Victor Hugo Nagahama +2 more
wiley +1 more source
A Bayesian Geostatistical Approach to Analyzing Groundwater Depth in Mining Areas
GeosciencesThis study addresses the spatial variability of groundwater levels within a mining basin in Greece. The objective is to develop an accurate spatial model of groundwater levels in the area to support an integrated groundwater management plan.
Maria Chrysanthi +2 more
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