A Review of Research Methods for Coupling Land Use Efficiency and Spatio-Temporal Heterogeneity

Abstract

This paper synthesizes research methods on the coupling of land use efficiency and spatio-temporal heterogeneity, aiming to provide insights into the diversity and important findings in this important field. Land use efficiency is a key factor in sustainable land management and resource planning, while spatio-temporal heterogeneity emphasizes the variability between different regions and points in time. The article explores the methods and applications of land use efficiency research from different perspectives. Remote sensing technology and geographic information systems (GIS) are considered two pillars of land use efficiency research, which complement each other but also have their own applicability and limitations. Remote sensing technology can provide large-scale and multi-scale land use information, but with limited resolution, while GIS is suitable for spatial analysis of land use and integration of multiple geographic data, but relies on accurate datasets. Time series analysis and spatial analysis modeling are key methods in land use change studies. Time series analysis is used to reveal historical trends and future projections of land use, while spatial analysis models emphasize the spatial linkages between land uses. These two methods have their own focus and can be selected and combined according to the research questions. The study of land use efficiency and spatio-temporal heterogeneity needs to consider its important impact on the environment. Good land management can protect ecosystems, combat climate change and maintain resource sustainability. In addition, these studies provide guidance for practical applications of sustainable land management and resource planning, including urban planning, agricultural improvement, ecosystem protection, and climate change adaptation. However, land use efficiency and spatial and temporal heterogeneity studies suffer from limitations and uncertainties such as data uncertainty, data availability, and modeling assumptions. Future research could explore more integrated approaches, especially in the context of climate change and socioeconomic factors. An in-depth study of the variability and best practices in different regions can help improve the scientific basis for land management decisions. This paper summarizes the coupled research methods on land use efficiency and spatio-temporal heterogeneity and their importance. These studies provide certain references for sustainable land management and resource planning, and help to realize sustainable resource utilization, environmental protection, and sustainable socio-economic development.