Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Statgraphics

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

Steel Manufacturing

Steel Manufacturing

Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...

Design Example: Aggregate Gradation

Design Example: Aggregate Gradation

The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...

Interpreting X̄ Charts

Interpreting X̄ Charts

Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

CURRENT STATUS AND DETERMINANTS OF POSTOPERATIVE VISUAL FUNCTION-RELATED QUALITY OF LIFE IN PATIENTS WITH RETINAL DETACHMENT: A Multivariate Analysis.

Retina (Philadelphia, Pa.)·2025

Same author

An analysis of spatial changes in the manufacturing industry in china's three major urban clusters from 2015 to 2019 using POI data.

Scientific reports·2025

Same author

Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data.

Frontiers in public health·2023

Same author

Analysis of the Spatiotemporal Evolution of the Net Carbon Sink Efficiency and Its Influencing Factors at the City Level in Three Major Urban Agglomerations in China.

International journal of environmental research and public health·2023

Same author

Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing.

PloS one·2021

Same author

The Relationship between the Migrant Population's Migration Network and the Risk of COVID-19 Transmission in China-Empirical Analysis and Prediction in Prefecture-Level Cities.

International journal of environmental research and public health·2020

Search research articles

Related Experiment Video

Updated: Aug 19, 2025

Precision Measurements and Parametric Models of Vertebral Endplates

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

China's Gridded Manufacturing Dataset.

Chenjing Fan^1,2, Xinran Huang², Lin Zhou^3,4

¹Research Center for Digital Innovation Design, Nanjing Forestry University, Nanjing, China.

Scientific Data

|December 2, 2022

Summary

This study introduces a new dataset detailing Chinese manufacturing firm distribution. The Gridded Manufacturing Dataset offers high-resolution insights crucial for economic policy and understanding industry growth.

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Production of a Strain-Measuring Device with an Improved 3D Printer

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

Related Experiment Videos

Last Updated: Aug 19, 2025

Precision Measurements and Parametric Models of Vertebral Endplates

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Production of a Strain-Measuring Device with an Improved 3D Printer

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

Area of Science:

Economic Geography
Spatial Data Science
Industrial Economics

Background:

Manufacturing growth drives economic development in emerging regions.
Existing manufacturing data lacks sufficient spatial resolution or detail.
Accurate geographical distribution data is vital for policymakers and researchers.

Purpose of the Study:

To develop a high-resolution dataset of Chinese manufacturing firm distribution.
To enable detailed analysis of spatial and temporal patterns in the manufacturing sector.
To support informed economic policy and industrial development strategies.

Main Methods:

Utilized a machine learning-based map point-of-interest classification method.
Constructed the Gridded Manufacturing Dataset at a 0.01° latitude by 0.01° longitude scale.
Included firm counts and classifications for China in 2015 and 2019.

Main Results:

The dataset encompasses 4.56 million firms in 2015 and 6.19 million in 2019.
Provides granular data on the number and type of manufacturing firms.
Enables detailed mapping of manufacturing firm distribution across China.

Conclusions:

The Gridded Manufacturing Dataset offers unprecedented spatial detail on manufacturing firms.
Facilitates analysis of temporal shifts and spatial clustering of industries.
Supports research into the drivers of manufacturing development and policy impacts.