Results 1 to 10 of about 217,387 (119)
Empirical comparison of time series models and tensor product penalised splines for modelling spatial dependence in plant breeding field trials [PDF]
Plant breeding field trials are typically arranged as a row by column rectangular lattice. They have been widely analysed using linear mixed models in which low order autoregressive integrated moving average (ARIMA) time series models, and the subclass ...
Beverley Gogel, Sue Welham, Brian Cullis
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Do trade flows interact in space? Spatial origin-destination modeling of gravity [PDF]
Purpose – This study proposes spatial origin-destination threshold Tobit to address spatial interdependence among bilateral trade flows while accounting for zero trade volumes.
Shali Luo, Seung-Whan Choi
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Pansharpening Based on Spectral-Spatial Dependence for Multibands Remote Sensing Images
Pansharpening based on detail injection (DI) explores panchromatic (PAN) images and injects their spatial geometrical information into multispectral (MS) images.
Lei Wu, Xunyan Jiang
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Many studies have identified the influences of PM2.5. However, very little research has addressed the spatiotemporal dependence and heterogeneity in the relationships between impact factors and PM2.5.
Han Yue +5 more
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Background. Soil has variability inherent to how its formation factors interact within the landscape. Objective. This study was carried out to describe the variability of some selected physical and chemical soil properties in a 50 years intensively ...
Oluwabunmi Aderonke Denton +3 more
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Java is inarguably essential for Indonesia’s economy with its 59% contribution to the country’s GDP. However, behind the tremendous participation lies high regional disparity, poverty, and unemployment, which have become challenges to its economic ...
Ma’rufa Khotiawan +2 more
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Machine Learning of Spatial Data
Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to handle
Behnam Nikparvar, Jean-Claude Thill
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Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference
This study analyses farmers’ adoption of improved rice technology, taking into account farmers’ risk preferences; the unobserved spatial heterogeneity associated with farmers’ risk preferences; farmers’ household and farm characteristics; farm locations,
Omotuyole Isiaka Ambali +2 more
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Geospatial Analysis of Scour in Offshore Wind Farms
Climate change has highlighted the need to promote renewable energies. The offshore wind industry is growing exponentially because of some political strategies supported by various organizations, such as the European Union.
Clara Matutano Molina +4 more
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Spbsampling: An R Package for Spatially Balanced Sampling
The basic idea underpinning the theory of spatially balanced sampling is that units closer to each other provide less information about a target of inference than units farther apart.
Francesco Pantalone +2 more
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