Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Uncertainty in geospatial health: challenges and opportunities ahead
Purpose Uncertainty is not always well captured, understood, or modeled properly, and can
bias the robustness of complex relationships, such as the association between the …
bias the robustness of complex relationships, such as the association between the …
[ספר][B] A practical guide to geostatistical map**
T Hengl - 2009 - academia.edu
This exercise introduces geostatistical tools that can be used to analyze various types of
environmental data. It✹ is not intended as a complete analysis of the example data set …
environmental data. It✹ is not intended as a complete analysis of the example data set …
Noodles: A tool for visualization of numerical weather model ensemble uncertainty
Numerical weather prediction ensembles are routinely used for operational weather
forecasting. The members of these ensembles are individual simulations with either slightly …
forecasting. The members of these ensembles are individual simulations with either slightly …
Value-suppressing uncertainty palettes
Understanding uncertainty is critical for many analytical tasks. One common approach is to
encode data values and uncertainty values independently, using two visual variables. These …
encode data values and uncertainty values independently, using two visual variables. These …
A user study to compare four uncertainty visualization methods for 1d and 2d datasets
Many techniques have been proposed to show uncertainty in data visualizations. However,
very little is known about their effectiveness in conveying meaningful information. In this …
very little is known about their effectiveness in conveying meaningful information. In this …
Evaluating sketchiness as a visual variable for the depiction of qualitative uncertainty
We report on results of a series of user studies on the perception of four visual variables that
are commonly used in the literature to depict uncertainty. To the best of our knowledge, we …
are commonly used in the literature to depict uncertainty. To the best of our knowledge, we …
Evaluation of groundwater levels in the Arapahoe aquifer using spatiotemporal regression kriging
Groundwater monitoring is fundamental to understanding system dynamics, trends in
storage, and the long‐term sustainability of an aquifer. Water‐level data are the key source …
storage, and the long‐term sustainability of an aquifer. Water‐level data are the key source …
Observation uncertainty of satellite soil moisture products determined with physically-based modeling
Accurate estimates of soil moisture as initial conditions to hydrological models are expected
to greatly increase the accuracy of flood and drought predictions. As in-situ soil moisture …
to greatly increase the accuracy of flood and drought predictions. As in-situ soil moisture …
[HTML][HTML] Prediction and uncertainty capabilities of quantile regression forests in estimating spatial distribution of soil organic matter
One of the core tasks in digital soil map** (DSM) studies is the estimation of the spatial
distribution of different soil variables. In addition, however, assessing the uncertainty of …
distribution of different soil variables. In addition, however, assessing the uncertainty of …
Accounting for non-stationary variance in geostatistical map** of soil properties
Simple and ordinary kriging assume a constant mean and variance of the soil variable of
interest. This assumption is often implausible because the mean and/or variance are linked …
interest. This assumption is often implausible because the mean and/or variance are linked …