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The understory is an essential ecological and structural component of forest ecosystems. The lack of efficient, accurate, and objective methods for evaluating and quantifying the spatial spread of understory characteristics over large areas is a ...
Carlotta Ferrara +3 more
doaj +1 more source
Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm
The explicit mapping of spatial soil pH is beneficial to evaluate the effects of land-use changes in soil quality. Digital soil mapping methods based on machine learning have been considered one effective way to predict the spatial distribution of soil ...
Jia Guo, Ku Wang, Shaofei Jin
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Numerical Simulations of Random Phase Sine-Gordon Model and Renormalization Group Predictions [PDF]
Numerical Simulations of the random phase sine-Gordon model suffer from strong finite size effects preventing the non-Gaussian $\log^2 r$ component of the spatial correlator from following the universal infinite volume prediction.
Lancaster, D.J. +3 more
core +2 more sources
Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data
In the face of increasing climate-related impacts on coral reefs, the integration of ecosystem resilience into marine conservation planning has become a priority.
Stuart Phinn +4 more
doaj +1 more source
Statistical Modeling Approaches for PM10 Prediction in Urban Areas; A Review of 21st-Century Studies
PM10 prediction has attracted special legislative and scientific attention due to its harmful effects on human health. Statistical techniques have the potential for high-accuracy PM10 prediction and accordingly, previous studies on statistical methods ...
Hamid Taheri Shahraiyni, Sahar Sodoudi
doaj +1 more source
Ecosystem function (particularly CO2 fluxes and the subsequent atmospheric transport), synoptic‐scale weather (e.g., midlatitude cyclones), and interactions between ecosystems and the atmosphere can be investigated using a weather‐biosphere‐online ...
Xiao‐Ming Hu +10 more
doaj +1 more source
Predictive modelling is a set of techniques, used since the 1970s, to predict the location of archaeological sites in uninvestigated areas as an aid to spatial planning, for example, in Cultural Resource Management. Predictive modelling is also used to develop and test scientific models of human locational behaviour, as it is based on either ...
Verhagen, J.W.H.P., Whitley, T.G.
openaire +2 more sources
On spatial selectivity and prediction across conditions with fMRI [PDF]
Researchers in functional neuroimaging mostly use activation coordinates to formulate their hypotheses. Instead, we propose to use the full statistical images to define regions of interest (ROIs).
Schwartz, Yannick +2 more
core +4 more sources
Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]
Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core
Seasonal variation of underwater sound propagation in the Beibu Gulf
Variations in the underwater sound speed significantly influence sound propagation in the ocean, thereby impacting both underwater navigation systems and a substantial portion of marine organisms reliant on sound. This study utilizes cruise data from the
Feihong Zeng +12 more
doaj +1 more source

