Assessing model performance is a continuous challenge for modelers of land use change. Comparing land use models with two neutral models, including the random constraint match model (RCM) and growing cluster model (GrC) that consider the initial land use patterns using a variety of evaluation metrics, provides a new way to evaluate the accuracy of land use models. However, using only two neutra...

As the main feature of land use planning, land use allocation (LUA) optimization is an important means of creating a balance between the land-use supply and demand in a region and promoting the sustainable utilization of land resources. In essence, LUA optimization is a multi-objective optimization problem under the land use supply and demand constraints in a region. In order to obtain a better...

this study emphasized the ability of genetic algorithm and cellular automate to simulate urban land use changes by integrating adaptive model. the most important part of modeling is to define transition rules.  in this research, a cellular automata model in dinamica ego software was used coupled with genetic algorithm. according to disability of the software for manipulating large number of var...

the growing population and increasing socio-economic necessitiescreates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) i...

land-use planning is a science that determines the type optimum of land-use through studying the ecological characteristics of the land as well as its socio-economic structure. the primary objective of this study is to evaluate the land-use and natural resources for future sustainable land planning using gis. in this study, the makhdoom’s systematic method was used to analyze the ecological and...

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...

This paper draws upon a detailed longitudinal survey of households living on agricultural plots in the northern three provinces of the Ecuadorian Amazon, the principal region of colonization by migrants in Ecuador since the 1970s. Following the discovery of petroleum in 1967 near what has subsequently come to be the provincial capital and largest Amazonian city of Lago Agrio, oil companies buil...

Land use suitability assessment is an important fundamental work in urban-rural planning. Be restricted by technology and means, qualitative analysis methods be wider used in evaluating land use suitability in most districts of China. This method can’t impersonally and Quantitatively indicate the difference in land use suitability, and make urban-rural planning more subjectively because the inf...

optimization of land allocation in golestan province for planting agricultural crops using compromise mathematical programming introduction: rational planning and optimization of agriculture are essential because of water and land constraints, the need to increase economic profit and to reduce the negative impacts of fertilizers and pesticides. to this end, decision-makers and planners need to ...