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相关概念视频

Population Growth00:57

Population Growth

24.9K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
24.9K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

20
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...
20
Levels of Use of a GIS01:29

Levels of Use of a GIS

25
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...
25
Conservation of Declining Populations02:07

Conservation of Declining Populations

9.6K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
9.6K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.0K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.0K
Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

5.1K
Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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相关实验视频

Updated: May 21, 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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全球网格人口数据集系统地代表了农村人口的不足.

Josias Láng-Ritter1,2, Marko Keskinen3, Henrikki Tenkanen4

  • 1Water and Development Research Group, Department of Built Environment, Aalto University, Espoo, Finland. josias.lang-ritter@aalto.fi.

Nature communications
|March 19, 2025
PubMed
概括
此摘要是机器生成的。

全球网格人口数据集显著低估了农村人口,偏差高达-84%. 这影响了全球农村社区的可持续发展倡议和公平的资源分配.

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Sampling Soils in a Heterogeneous Research Plot
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Sampling Soils in a Heterogeneous Research Plot

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Topographical Estimation of Visual Population Receptive Fields by fMRI
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Topographical Estimation of Visual Population Receptive Fields by fMRI

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相关实验视频

Last Updated: May 21, 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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Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

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Topographical Estimation of Visual Population Receptive Fields by fMRI
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Topographical Estimation of Visual Population Receptive Fields by fMRI

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科学领域:

  • 地理空间分析是什么?
  • 人口统计学 人口统计学
  • 可持续发展研究 可持续发展研究

背景情况:

  • 全球网格化人口数据对于可持续发展倡议至关重要.
  • 现有的数据集主要是针对城市环境进行校准,农村的准确性基本上没有得到检查.

研究的目的:

  • 系统地验证全球网格化人口数据集的准确性,特别是在农村地区.
  • 评估主要数据集提供的农村人口数字低估的程度.

主要方法:

  • 利用来自35个国家的307个大建设项目的报告的人类重新安置数据作为基本事实.
  • 将重新安置数据与全球知名网格人口数据集 (WorldPop,GWP,GRUMP,LandScan,GHS-POP) 的估计数据进行了比较.

主要成果:

  • 在数据集之间发现了实质性的差异,具有一致和显著的负面偏差.
  • 观察到低估值在-53% (WorldPop) 到-84% (GHS-POP) 之间,表明农村人口在估计中经常减少一半.
  • 即使是最准确的数据集,与报告的重新安置数据相比,农村人口被低估了50%.

结论:

  • 目前的全球网格化人口数据集显示,农村人口被严重低估.
  • 这种偏见需要重新评估这些数据集的过去和未来的应用,以确保资源的公平分配.
  • 提高农村人口数据的准确性需要加强人口普查方法,替代数据源和精细的人口建模校准.