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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

43
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
43
Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

52
Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
52
Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

146
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
146
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.3K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.3K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

26
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
26
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

50
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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相关实验视频

Updated: Jun 10, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

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

Published on: October 16, 2018

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使用回归 Kriging 的稀疏数据对高速公路次级的地面结算预测.

Lei Huang1, Wei Qin2,3, Guo-Liang Dai4

  • 1College of Architecture and Civil Engineering, Sanming University, Sanming, 365004, China.

Scientific reports
|October 19, 2024
PubMed
概括

通过回归Kriging (RK) 方法改进了使用稀疏数据预测高速公路地下层结算. 整合Box-Cox转换提高了准确性,优于传统方法和神经网络,可靠地盘定位预测.

关键词:
盒子Cox转换的过程土地结算预测预测回归造 (RK) 是一种回归造方法.稀疏的样本数据数据稀疏的样本数据

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Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
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Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
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科学领域:

  • 地质技术工程 地质技术工程
  • 土木工程 土木工程是指土木工程.
  • 环境工程 环境工程

背景情况:

  • 在基础设施项目中,准确地预测高速公路次级的地面沉积情况至关重要.
  • 稀少的样本数据经常挑战现实世界的场景中的预测准确性,这是以前未被充分探索的问题.
  • 现有的方法因数据稀缺而困难,需要新的方法来可靠地预测结算.

研究的目的:

  • 提出和评估一种基于回归Kriging (RK) 的方法,用于使用稀疏数据进行增强的地面沉积预测.
  • 调查Box-Cox转换和趋势结构对RK预测准确性的影响.
  • 将拟议的RK方法与经典技术和反向传播神经网络 (BPNN) 的性能进行比较.

主要方法:

  • 一个回归Kriging (RK) 框架被用于地面结算预测.
  • 使用Box-Cox转换来实现样品残留的静态性,从而改善预测.
  • 一个第一阶多项式趋势结构被确定为首要整合结算预测的最佳.

主要成果:

  • 整合Box-Cox转换显著降低了评估指标 (RMSE,MAE,MAAPE,SCI),提高了使用稀疏数据的预测准确度.
  • 第一个顺序的多项式趋势结构被证明比较高的订单更适合初级整合结算.
  • 拟议的RK方法与经典方法和BPNN相比显示出更高的准确性,由于数据限制而表现不佳.

结论:

  • 通过Box-Cox转换和一阶多项式趋势增强的回归Kriging (RK) 方法,为使用稀疏数据进行地面结算预测提供了高度准确的解决方案.
  • 这种方法在具有有限数据的场景中显著改进了传统方法和反向传播神经网络 (BPNN).
  • 这些发现强调了数据转换和适当的趋势建模对于强大的地质技术预测的重要性.