We developed a global land-use allocation model that can be linked to integrated assessment models (IAMs) with a coarser spatial resolution. Using the model, we performed a downscaling of the IAMs' regional aggregated land-use projections to obtain a spatial land-use distribution, which could subsequently be used by Earth system models for global environmental assessments of ecosystem services,...

The growing numbers of land change models makes it difficult to select a model at the beginning of an analysis, and is often arbitrary and at the researcher’s discretion. How to select a model at the beginning of an analysis, when multiple are suitable, represents a critical research gap currently understudied, where trade-offs of choosing one model over another are often unknown. Repeatable me...

In the process of traditional economy transforming into modern economy in china, farmer’s diversification phenomena has arisen and developed and will continue a long time in the future. Accordingly, the general economic type of farmer diversification will effect on the rural source allocation. The land use behavior characteristics of diversification farmer are the aims of the study. Theoretic a...

Optimizing land-use allocation is important to regional sustainable development, as it promotes the social equality of public services, increases the economic benefits of land-use activities, and reduces the ecological risk of land-use planning. Most land-use optimization models allocate land-use using cell-level operations that fragment land-use patches. These models do not cooperate well with...

creating and preserving large patches in land use configuration and satisfying compactness and contiguity in land use configuration are nature-prescribed and nature-inspired criteria that can be used in land use planning better that before. accompanying compactness and contiguity as the important landscape metrics in land use planning and land use configuration is close to applying proactive ap...

Many resource allocation issues, such as land useor irrigation planning, require input from extensive spatial databases and involve complex decisionmaking problems. Spatial decision support systems (SDSS) are designed to make these issues more transparent and to support the design and evaluationof resource allocation alternatives. Recent developments in this Ž eld focus on the design of allocat...

3 Land Use Planning 10 3.1 The Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.2 The AEZ Land Use Allocation Model . . . . . . . . . . . . . . . . . . . . . 12 3.2.1 A Summary of the AEZ Methodology . . . . . . . . . . . . . . . . . 12 3.2.2 The core model constraint set . . . . . . . . . . . . . . . . . . . . . 13 3.2.3 Decision variables . . . . . . . . . . . ...

5 Calibration and validation of the Land Use Scanner allocation algorithms The Land Use Scanner is a spatial model that simulates future land use. Since its development in 1997, it has been applied in many policy-related land-use projects. In 2005, a completely revised version became available. In this version, land use can be modelled on a reduced scale, the smallest resolution now being 100 m...