Advancements in computational and geospatial technologies have made it quite possible to conceptualize the intricacy of urban growth and land use change phenomenon. The cellular automata (CA) and geographic information system (GIS) framework-based approaches are commonly used in modeling and simulation of urban growth and land use/land cover changes, e.g., the SLEUTH model. The SLEUTH model may be affected by uncertainties arising from the model parameters, constants, structures, and elements used as input parameters. The behaviour of SLEUTH has not been tested sufficiently for the possible uncertainties of different parameters/structures and model constants so far. The present study examines the SLEUTH model performances and behavior as a function of possible uncertainty in few important model parameters using the sensitivity approach (SA). Sensitivity has been quantified in terms of relative change in five criteria, i.e., statistical measures like area, urban clusters, edges, cluster size, cluster radius, and best model fitness measure (i.e., optimal SLEUTH metrics (OSM)), overall accuracy for a range of selected important SLEUTH model, i.e., diffusive value parameter, size of the cellular neighborhood, and game of life rules. Optimal values of these model parameters/constants have been obtained through sensitivity testing for a heterogeneous and complex urban area, i.e., Pushkar town in India. The study gives insights into the effect of model parameters on the performance of the SLEUTH model in capturing different types and forms of urban growth. The study enlightens the shortcomings and contributes to enhancing the present understanding related to the CA-based SLEUTH urban growth model.

计算和地理空间技术的进步使得将城市增长和土地利用变化现象的复杂性概念化成为可能。基于元胞自动机 (CA) 和地理信息系统 (GIS) 框架的方法通常用于城市增长和土地利用/土地覆盖变化的建模和模拟，例如 SLEUTH 模型。SLEUTH 模型可能会受到由模型参数、常数、结构和用作输入参数的元素引起的不确定性的影响。迄今为止，SLEUTH 的行为尚未针对不同参数/结构和模型常数的可能不确定性进行充分测试。本研究使用灵敏度方法 (SA) 检查 SLEUTH 模型的性能和行为，作为几个重要模型参数中可能的不确定性的函数。敏感度已根据五个标准的相对变化进行量化，即面积、城市群、边缘、集群大小、集群半径和最佳模型适应度等统计指标（即最佳 SLEUTH 指标 (OSM)）、总体准确度一系列选定的重要 SLEUTH 模型，即扩散值参数、细胞邻域的大小和游戏规则。这些模型参数/常数的最优值是通过对异构和复杂的城市地区，即印度的普什卡镇的敏感性测试获得的。该研究深入了解了模型参数对 SLEUTH 模型在捕捉不同类型和形式的城市增长方面的性能的影响。