Results 21 to 30 of about 3,240 (143)
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
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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
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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
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Advanced Science, EarlyView.Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 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
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Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping
Advanced Intelligent Systems, EarlyView.This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler +5 more
wiley +1 more source
Urban Landscape Structure of a Fast-Growing African City: The Case of Niamey (Niger)
Urban Science, 2019 Combining multivariable statistics and geostatistics with landscape metrics, we attempted to quantify the spatial pattern of urbanization in the city of Niamey, Niger.
Jean-Pierre Rossi, Gauthier Dobigny
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A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
Uncertainty of spatial averages and totals of natural resource maps
Methods in Ecology and Evolution, 2023 Global, continental and regional maps of concentrations, stocks and fluxes of natural resources provide baseline data to assess how ecosystems respond to human disturbance and global warming. They are also used as input to numerous modelling efforts. But
Alexandre M. J.‐C. Wadoux +1 more
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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