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Published in 2019 at "Precision Agriculture"
DOI: 10.1007/s11119-019-09650-0
Abstract: The analysis and mapping of agronomic and environmental spatial data require observations to be comparable. Heterogeneous spatial datasets are those for which the observations of different datasets cannot be directly compared because they have not…
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Keywords:
heterogeneous spatial;
acquisition conditions;
environmental spatial;
agronomic environmental ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061200
Abstract: Heteroscedasticity is often encountered in spatial-data analysis, so a new class of heterogeneous spatial autoregressive models is introduced in this paper, where the variance parameters are allowed to depend on some explanatory variables. Here, we…
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Keywords:
via double;
autoregressive models;
double penalized;
spatial autoregressive ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091894
Abstract: In this paper, we address a class of heterogeneous spatial autoregressive models with all n(n−1) spatial coefficients taking m distinct true values, where m is independent of the sample size n, and we establish asymptotic…
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Keywords:
quasi maximum;
autoregressive models;
spatial autoregressive;
asymptotic properties ... See more keywords