Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Research Progress in Spatiotemporal Dynamic Simulation of LUCC

View through CrossRef
Land Use and Land Cover Change (LUCC) represents the interaction between human societies and the natural environment. Studies of LUCC simulation allow for the analysis of Land Use and Land Cover (LULC) patterns in a given region. Moreover, these studies enable the simulation of complex future LUCC scenarios by integrating multiple factors. Such studies can provide effective means for optimizing and making decisions about the future patterns of a region. This review conducted a literature search on geographic models and simulations in the Web of Science database. From the literature, we summarized the basic steps of spatiotemporal dynamic simulation of LUCC. The focus was on the current major models, analyzing their characteristics and limitations, and discussing their expanded applications in land use. This review reveals that current research still faces challenges such as data uncertainty, necessitating the advancement of more diverse data and new technologies. Future research can enhance the precision and applicability of studies by improving models and methods, integrating big data and multi-scale data, and employing multi-model coupling and various algorithmic experiments for comparison. This would support the advancement of land use spatiotemporal dynamic simulation research to higher levels.
Title: Research Progress in Spatiotemporal Dynamic Simulation of LUCC
Description:
Land Use and Land Cover Change (LUCC) represents the interaction between human societies and the natural environment.
Studies of LUCC simulation allow for the analysis of Land Use and Land Cover (LULC) patterns in a given region.
Moreover, these studies enable the simulation of complex future LUCC scenarios by integrating multiple factors.
Such studies can provide effective means for optimizing and making decisions about the future patterns of a region.
This review conducted a literature search on geographic models and simulations in the Web of Science database.
From the literature, we summarized the basic steps of spatiotemporal dynamic simulation of LUCC.
The focus was on the current major models, analyzing their characteristics and limitations, and discussing their expanded applications in land use.
This review reveals that current research still faces challenges such as data uncertainty, necessitating the advancement of more diverse data and new technologies.
Future research can enhance the precision and applicability of studies by improving models and methods, integrating big data and multi-scale data, and employing multi-model coupling and various algorithmic experiments for comparison.
This would support the advancement of land use spatiotemporal dynamic simulation research to higher levels.

Related Results

The Effects of Land Use and Land Cover Geoinformation Raster Generalization in the Analysis of LUCC in Portugal
The Effects of Land Use and Land Cover Geoinformation Raster Generalization in the Analysis of LUCC in Portugal
Multiple land use and land cover (LUC) datasets are available for the analysis of LUC changes (LUCC) in distinct territories. Sometimes, different LUCC results are produced to char...
Understanding Driving Forces and Implications Associated with the Land Use and Land Cover Changes in Portugal
Understanding Driving Forces and Implications Associated with the Land Use and Land Cover Changes in Portugal
Understanding the processes of land use and land cover changes (LUCC) and the associated driving forces is important for achieving sustainable development. This paper presents the ...
Quantifying the independent contributions of climate and land use change to ecosystem services
Quantifying the independent contributions of climate and land use change to ecosystem services
Abstract Ecosystem Services (ESs) are the embodiment of human welfare and play an important part in supporting the sustainable development of human society and regions. Cli...
Rice Terraces Enhanced the Hydrological Stability of Small Watershed with LUCC—A Case Study of Xinhua Basin
Rice Terraces Enhanced the Hydrological Stability of Small Watershed with LUCC—A Case Study of Xinhua Basin
Rice terraces are crucial for agriculture in China’s southern mountainous regions. Land use and land cover change (LUCC) in these areas impact hydrology, but our understanding is l...
Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI
Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI
AbstractThe use of fMRI and computational modeling has advanced understanding of spatial characteristics of population receptive fields (pRFs) in human visual cortex. However, we k...
Research and Application Exploration for Spatiotemporal Data Integrated Theory
Research and Application Exploration for Spatiotemporal Data Integrated Theory
Abstract Spatiotemporal data is essential for big data, closely related to government, enterprise and people. The Chinese digital economy development strategy requir...
Mining spatiotemporal association rule based on prevalent sequential patterns 
Mining spatiotemporal association rule based on prevalent sequential patterns 
Abstract Spatiotemporal association rules mining algorithms can effectively mine the association relationships between spatiotemporal event patterns, which plays an importa...
Remote Sensing Monitoring and Thermal Environment Response Analysis of Land Use / Cover Change in Changping District, Beijing
Remote Sensing Monitoring and Thermal Environment Response Analysis of Land Use / Cover Change in Changping District, Beijing
As a rapid developing area, Changping in Beijing, China, the change of land use and land cover(LUCC) had occurred at large scale in the recent 20 years. Remote sensing had provided...

Back to Top