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[HTML][HTML] Modeling electricity consumption patterns during the COVID-19 pandemic across six socioeconomic sectors in the State of Qatar
A Abulibdeh - Energy strategy reviews, 2021 - Elsevier
The propagation of the COVID-19 pandemic, and the associated measures taken by many
countries to slow down the spread of the disease, has significantly affected all aspects of …
countries to slow down the spread of the disease, has significantly affected all aspects of …
An adaptive inverse-distance weighting interpolation method considering spatial differentiation in 3D geological modeling
Z Liu, Z Zhang, C Zhou, W Ming, Z Du - Geosciences, 2021 - mdpi.com
The inverse-distance weighting interpolation is widely used in 3D geological modeling and
directly affects the accuracy of models. With the development of “smart” or “intelligent” …
directly affects the accuracy of models. With the development of “smart” or “intelligent” …
An enhanced dual IDW method for high-quality geospatial interpolation
Z Li - Scientific reports, 2021 - nature.com
Many geoscience problems involve predicting attributes of interest at un-sampled locations.
Inverse distance weighting (IDW) is a standard solution to such problems. However, IDW is …
Inverse distance weighting (IDW) is a standard solution to such problems. However, IDW is …
A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution
This study proposes a decision support system (DSS) that integrates GIS, analytics, and
simulation methods to help develop a priority-based distribution of COVID-19 vaccines in a …
simulation methods to help develop a priority-based distribution of COVID-19 vaccines in a …
[HTML][HTML] A generalized spatial autoregressive neural network method for three-dimensional spatial interpolation
J Zhan, S Wu, J Qi, J Zeng, M Qin… - Geoscientific Model …, 2023 - gmd.copernicus.org
Spatial interpolation, a fundamental spatial analysis method, predicts unsampled spatial
data from the values of sampled points. Generally, the core of spatial interpolation is fitting …
data from the values of sampled points. Generally, the core of spatial interpolation is fitting …
A new strategy to fuse remote sensing data and geochemical data with different machine learning methods
S Bai, J Zhao - Remote Sensing, 2023 - mdpi.com
Geochemical data can reflect geological features, making it one of the basic types of
geodata that have been widely used in mineral exploration, environmental assessment …
geodata that have been widely used in mineral exploration, environmental assessment …
Enhancing 'disease x'responsiveness: a risk-averse distributionally robust optimization approach for resource allocation under infectious disease transmission …
Testing stands out as a crucial element in the public health response during a pandemic,
serving diverse purposes pivotal for controlling the spread of the infectious agent. It enables …
serving diverse purposes pivotal for controlling the spread of the infectious agent. It enables …
Next to or through your house?: Comparison of statistical and spatial results to understand the effects of DEM resolution on stream delineation
L Meirose III, B Dixon, CA Brown - Journal of Hydrology, 2024 - Elsevier
This study focused on examining impacts of DEM resolution on stream delineation. Original
and resampled DEMs constructed from three different types of source datasets–LiDAR …
and resampled DEMs constructed from three different types of source datasets–LiDAR …
Max-product Shepard operators based on multivariable Taylor polynomials
O Duman - Journal of Computational and Applied Mathematics, 2024 - Elsevier
In this paper, by using multivariable Taylor polynomials and also the max-product operation,
we give a nonlinear modification of the classical Shepard operators. This modification …
we give a nonlinear modification of the classical Shepard operators. This modification …
Landslide hazard map** in Chefchaouen, Morocco: AHP-GIS integration
L Dahmani, S Laaribya, H Naim… - International Journal of …, 2024 - Taylor & Francis
Chefchaouen province, located in northern Morocco, is prone to landslides because of its
geological features, climate change, and human activities. We investigated landslide …
geological features, climate change, and human activities. We investigated landslide …