Related Experiment Video
Updated: Jul 15, 2026

08:59
Determination of Aggregate Surface Morphology at the Interfacial Transition Zone (ITZ)
Published on: December 16, 2019
Low-rank smoothing splines on complicated domains
Haonan Wang1, M Giovanna Ranalli
1Department of Statistics, Colorado State University, Fort Collins, Colorado 80523-1877, USA.
Biometrics
|April 24, 2007
Summary
This study introduces a novel geodesic distance-based smoothing method for estimating mercury in New Hampshire
Area of Science:
- Environmental Science
- Geospatial Analysis
- Geostatistics
Background:
- Estimating contaminant concentrations in complex aquatic environments is challenging.
- Irregular boundaries and gaps in estuarine systems complicate spatial data analysis.
- Accurate mercury in sediment concentration data is crucial for environmental health assessments.
Purpose of the Study:
- To develop an improved spatial smoothing technique for environmental data.
- To accurately estimate mercury concentrations in New Hampshire's estuarine sediments.
- To address challenges posed by irregular domain boundaries and data gaps.
Main Methods:
- A modified low-rank thin plate splines (LTPS) method was developed.
- Geodesic distance was incorporated to measure data point dissimilarity, reflecting aquatic pathways.
- The new method was compared against standard LTPS and finite element L-splines.
Main Results:
- The geodesic distance-based LTPS method demonstrated superior performance in smoothing complex domains.
- The technique provided more accurate mercury in sediment concentration estimates in estuarine environments.
- The modified LTPS effectively handled irregular boundaries and interior gaps.
Conclusions:
- Geodesic distance-enhanced LTPS is a robust method for environmental contaminant mapping.
- This approach improves spatial estimation accuracy in challenging estuarine systems.
- The findings offer a valuable tool for environmental monitoring and risk assessment.
Related Concept Videos
Curvilinear Motion: Rectangular Components
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Linear Approximation in Frequency Domain
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Degree of Curvature and Radius of Curvature
The degree of curvature and the radius of curvature are fundamental concepts in determining the sharpness or smoothness of a curve. The degree of curvature is a measure of how steeply a curve bends and can be determined using the chord basis or the arc basis. In the chord basis method, the degree of curvature is defined as the central angle subtended by a chord of 30.48 meters, helping in the calculation of the radius of the curve. The arc basis method defines the degree of curvature as the...
Elevation of Intermediate Points on Vertical Curves
Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
Linear Approximation in Time Domain
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...
Linear Approximations
For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...
