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Updated: Jun 14, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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在智利Temuco开发用于细颗粒物和木材燃烧痕迹物的空间时间土地利用回归模型

María Elisa Quinteros1,2, Carola Blazquez3, Salvador Ayala2,4

  • 1Departamento de Salud Pública, Facultad de Ciencias de la Salud, Universidad de Talca, Avenida Lircay s/n, Talca, 3460000, Chile.

Environmental science & technology
|November 17, 2023
PubMed
概括

住宅木材燃烧对空气污染作出了重大贡献,造成了公共卫生风险. 这项研究开发了准确的模型来预测细颗粒物和木材燃烧的痕迹,帮助暴露评估.

关键词:
土地使用回归研究在左边的Glucosan.颗粒物质颗粒物质是什么可溶性的可溶性.木制烟雾:木制烟雾是指木制烟雾.

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相关概念视频

Regression Analysis01:11

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
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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...