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相关概念视频

Manipulation and Analysis01:21

Manipulation and Analysis

276
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
276
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

270
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
270
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

249
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...
249
Levels of Use of a GIS01:29

Levels of Use of a GIS

326
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
326
Sampling Plans01:23

Sampling Plans

868
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
868
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

230
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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相关实验视频

Updated: Jan 10, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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城市系统的空间尺度选择:一个复杂性-异质性平衡方法.

Xiang-Yu Jia1,2, Yitao Yang3, Ying-Yue Lv1,2

  • 1Hebei Key Laboratory of Future Urban Intelligent Traffic Management, Beijing Jiaotong University, Beijing 100044, China.

Entropy (Basel, Switzerland)
|November 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用重规范化组技术的新方法,以客观地确定分析货运和餐厅等城市功能的最佳观察尺度. 这种方法平衡了复杂性和异质性,以便更好地进行城市空间分析.

关键词:
多尺度结构复杂性的结构复杂性.在正常化的中.重规范化小组的重规范化小组.空间尺度的选择选择.城市复杂性的城市复杂性.

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相关实验视频

Last Updated: Jan 10, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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科学领域:

  • 城市规划和地理学
  • 复杂系统分析 复杂系统分析
  • 空间统计的空间统计.

背景情况:

  • 了解城市复杂性需要选择适当的观察尺度.
  • 传统的尺度选择方法是主观的,在各种城市功能中缺乏通用性.
  • 城市空间分析需要客观和强大的方法.

研究的目的:

  • 开发和验证一种复杂性-异质性平衡方法,以客观地确定城市中适当的空间观测尺度.
  • 解决传统的主观和非通用化尺度选择方法的局限性.
  • 为加强城市空间分析提供框架.

主要方法:

  • 采用重新规范化组技术,在多个尺度上生成分布矩阵.
  • 开发了一种复杂性-异质性平衡方法,以客观地确定最佳的观测尺度.
  • 将该方法应用于中国主要城市的货运,企业和餐厅分销数据.

主要成果:

  • 复杂性-异质性平衡方法成功地确定了不同城市功能的特征空间尺度.
  • 结果表明,该方法能够反映城市功能独特的空间组织结构.
  • 验证了城市规模确定拟议框架的稳定性.

结论:

  • 开发的方法提供了一个强大而客观的框架,用于在城市分析中选择适当的空间观测尺度.
  • 这些发现对改善物流优化,工业区划和商业规划具有重大意义.
  • 通过提高对城市功能和形态学的理解,为可持续的城市发展做出贡献.