Related Experiment Video
Updated: Sep 6, 2025
05:55
Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
1.2K
Temporal and Spatial Differences of Urban Ecological Environment and Economic Development Based on Graph Neural
Wenbo Zhang1,2, Binggeng Xie1
1College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, Hunan, China.
Computational Intelligence and Neuroscience
|July 1, 2022
Summary
This study models urban ecological environment and economic development using graph neural networks. Results show improved coordination, but balancing industry is key for sustainable urban growth.
Area of Science:
- Urban Planning
- Environmental Science
- Economic Geography
Background:
- Urban ecological environment quality and economic development often exhibit temporal and spatial disparities.
- This imbalance represents a contradiction between environmental quality and economic strength.
Purpose of the Study:
- To explore the development laws governing urban ecology and economic growth.
- To model the spatial and temporal dependencies within a province's urban ecological environment and economic development.
Main Methods:
- Utilized graph neural network algorithms for modeling.
- Analyzed provincial data on ecological quality and economic development strength.
Main Results:
- Ecological and economic benefit indices for cities reached above 0.6 after five years.
- Significant improvement in coordinated urban development levels observed since 2017.
Conclusions:
- Coordinated urban development has improved, indicating positive trends.
- Rational adjustment of the secondary and tertiary industry proportions is crucial for balanced economic and ecological progress.
Related Concept Videos
00:54Time-Series Graph
4.5K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.5K
01:25Selected Data About Geographic Locations
65
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...
65
01:21Manipulation and Analysis
58
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...
58
01:29Levels of Use of a GIS
97
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...
97
01:28Introduction to GIS
185
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
185
01:30Thematic Layering in GIS
75
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
75