Modeling Spatio-Temporal Dynamics of Land Development
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 2968
Special Issue Editor
Special Issue Information
Dear Colleagues,
Human activities and natural events have influenced both rural and urban areas, resulting in irreversible changes, such as the transformation of agricultural lands into residential areas. The extraction of fertile soil from the ground renders the land unsuitable for future agricultural use. Such irreversible changes disrupt preserving and maintaining the ecosystem and resources. Long-term investments, such as infrastructure and public services, are planned based on land development dynamics. However, miscalculations in these investments can lead to significant financial crises in municipal budgets and a reduction in the quality of life. Therefore, it is crucial for researchers, practitioners, and policymakers to understand the influential factors causing changes in land activities and make realistic predictions. Over the recent five decades, researchers have developed mathematical models to represent the dynamics of land development. They have used stochastic and deterministic models to mimic complex land dynamics that lead to changes in urban and rural areas. In recent years, many researchers have revealed that the spatio-temporal dynamics of land development provide vital information about human activities. However, modeling the spatio-temporal dynamics of land development poses methodological and computational challenges.
The goal of this Special Issue is to collect papers (original research articles and review papers) to provide insights into spatio-temporal land development dynamics.
This Special Issue will welcome manuscripts that link the following themes:
- Incorporating spatial and temporal dependencies in modeling;
- Accounting for complex non-linear relationships in land development dynamics;
- Addressing the computational feasibility of spatially explicit modeling frameworks;
- Introducing hybrid models combining statistical, simulation-based, machine learning, and deep learning methods;
- Improving our understanding of spatial and temporal dynamics in land development;
- Introducing urban development prediction applications.
We look forward to receiving your original research articles and reviews.
Dr. Emre Tepe
Guest Editor
Manuscript Submission Information
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Keywords
- spatio-temporal modeling
- urban growth
- land use changes
- spillover effects
- marginal effects
- spatial dependencies
- machine learning
- urban simulation
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