顾及城市空间结构信息的元胞自动机模型构建及其应用   总被引：2，自引：2，他引：0  

焦利民  杨璐迪  刘稼丰  张博恩  许刚 《地理科学》2019,39(8):1276-1283

利用衡量新增斑块空间邻接关系的多阶景观扩张指数定量识别城市组团的空间特征,结合城市组团所表现出的城市空间结构信息,构建基于MLEI的元胞自动机城市扩展（MLEI-CA）模型。针对武汉市1990、2000、2013年3期遥感影像数据,运用MLEI-CA对武汉市城市扩展进行模拟,通过与Logistic-CA模型对比验证该模型的适用性。研究结果表明,MLEI-CA模型更加准确地揭示城市扩展的空间演变过程,MLEI-CA模型精度优于Logistic-CA模型,Kappa系数、城市用地的精度分别提高6%和4%。  相似文献   

地理模拟优化系统GeoSoS及前沿研究   总被引：8，自引：0，他引：8  

黎夏  李丹  刘小平  何晋强 《地球科学进展》2009,24(8):899-907

提出地理模拟优化系统(GeoSOS)的概念、研究内容和实现方法,以提供一种十分有效的地理过程分析和空间探索的工具。地理模拟优化系统的理论基础涉及复杂系统理论、地理信息科学、计算机科学、地理学等。所提出的地理模拟优化系统由3个子模块构成:元胞自动机模拟子系统、多智能体模拟子系统和基于生物智能的优化子系统。建立地理模拟优化系统可以为复杂资源环境及变化提供一种有效的模拟和优化工具,弥补目前GIS对过程分析功能的严重不足。  相似文献   

基于扩展CA的文化传播时空模拟研究   总被引：3，自引：0，他引：3  

罗平  何素芳  伍兆强  杜清运 《热带地理》2002,22(4):371-374,381

文化传播影响因素复杂，具有空间上的相邻、不相邻、选择、随机等扩散形式和时间上的遗传特征，其时空模拟必须借助复杂系统研究方法。元胞自动机模型（CA）与GIS集成在地理过程模拟方面具有很大的优势。文中在分析元胞空间关系和元胞邻居描述的基础上，提出元胞邻居存在几何间上的邻接形式和空间上不邻接但属性上相关的邻居形式。据此，通过对文化革新扩散的实质、空间形式、影响因素等分析，对立了基于邻居扩展CA的文化传播系统模型，并利用该模型对文化传播现象进行了实验研究，取得了比较满意的实验结果。  相似文献   

Simulating the Curti–Sarno debris flow through cellular automata: the model SCIDDICA (release S₂)     

D D’Ambrosio  S Di Gregorio  G Iovine  V Lupiano  L Merenda  R Rongo  W Spataro 《Physics and Chemistry of the Earth》2002,27(36):1577-1585

  相似文献   

A Moore's cellular automaton model to get probabilistic seismic hazard maps for different magnitude releases: A case study for Greece     

A. Jimnez  A.M. Posadas 《Tectonophysics》2006,423(1-4):35

Cellular automata are simple mathematical idealizations of natural systems and they supply useful models for many investigations in natural science. Examples include sandpile models, forest fire models, and slider block models used in seismology. In the present paper, they have been used for establishing temporal relations between the energy releases of the seismic events that occurred in neighboring parts of the crust. The catalogue is divided into time intervals, and the region is divided into cells which are declared active or inactive by means of a threshold energy release criterion. Thus, a pattern of active and inactive cells which evolves over time is determined. A stochastic cellular automaton is constructed starting with these patterns, in order to simulate their spatio-temporal evolution, by supposing a Moore's neighborhood interaction between the cells. The best model is chosen by maximizing the mutual information between the past and the future states. Finally, a Probabilistic Seismic Hazard Map is given for the different energy releases considered. The method has been applied to the Greece catalogue from 1900 to 1999. The Probabilistic Seismic Hazard Maps for energies corresponding to m = 4 and m = 5 are close to the real seismicity after the data in that area, and they correspond to a background seismicity in the whole area. This background seismicity seems to cover the whole area in periods of around 25–50 years. The optimum cell size is in agreement with other studies; for m > 6 the optimum area increases according to the threshold of clear spatial resolution, and the active cells are not so clustered. The results are coherent with other hazard studies in the zone and with the seismicity recorded after the data set, as well as provide an interaction model which points out the large scale nature of the earthquake occurrence.  相似文献   

A physically-based bedload transport model developed for 3-D reach-scale cellular modelling     

Rebecca Hodge  Keith Richards  James Brasington 《Geomorphology》2007,90(3-4):244

  相似文献   

Cellular modelling of river catchments and reaches: Advantages, limitations and prospects   总被引：2，自引：4，他引：2  

T.J. Coulthard  D.M. Hicks  M.J. Van De Wiel 《Geomorphology》2007,90(3-4):192

The last decade has witnessed the development of a series of cellular models that simulate the processes operating within river channels and drive their geomorphic evolution. Their proliferation can be partly attributed to the relative simplicity of cellular models and their ability to address some of the shortcomings of other numerical models. By using relaxed interpretations of the equations determining fluid flow, cellular models allow rapid solutions of water depths and velocities. These can then be used to drive (usually) conventional sediment transport relations to determine erosion and deposition and alter the channel form. The key advance of using these physically based yet simplified approaches is that they allow us to apply models to a range of spatial scales (1–100 km²) and time periods (1–100 years) that are especially relevant to contemporary management and fluvial studies.However, these approaches are not without their limitations and technical problems. This paper reviews the findings of nearly 10 years of research into modelling fluvial systems with cellular techniques, principally focusing on improvements in routing water and how fluvial erosion and deposition (including lateral erosion) are represented. These ideas are illustrated using sample simulations of the River Teifi, Wales. A detailed case study is then presented, demonstrating how cellular models can explore the interactions between vegetation and the morphological dynamics of the braided Waitaki River, New Zealand. Finally, difficulties associated with model validation and the problems, prospects and future issues important to the further development and application of these cellular fluvial models are outlined.  相似文献   

Geomorphological limits to self-organization of alpine forest-tundra ecotone vegetation     

Yu Zeng  George P. Malanson  David R. Butler   《Geomorphology》2007,91(3-4):378

Feedback in the establishment of vegetation has been shown to produce spatial patterns that differ from the geomorphological basis for resources. The dynamics of these spatial patterns have been characterized as self-organization because local processes produce them at landscape scales. Geomorphic patterns could, however, enhance or disrupt the processes that lead to patterns and the interpretation of self-organization. A simulation model that showed such indication of self-organization at alpine forest-tundra ecotones is modified to incorporate a geomorphic feature commonly seen in this environment – solifluction steps – as an exogenous condition in the model. Analyses linking spatial patterns and rates of advance of vegetation indicate that such geomorphic patterns do not alter the dynamics of vegetation until the size of the patterns is about double that of the dimension within which endogenous dynamics operate. The sizes of some geomorphic patterns incorporated in the model are probably larger than any realistic solifluction feature at such ecotones in western North America.  相似文献   

Enhancing a GIS Cellular Automata Model of Land Use Change: Bayesian Networks, Influence Diagrams and Causality   总被引：1，自引：0，他引：1  

Verda Kocabas  Suzana Dragicevic 《Transactions in GIS》2007,11(5):681-702

Cellular Automata (CA) models at present do not adequately take into account the relationship and interactions between variables. However, land use change is influenced by multiple variables and their relationships. The objective of this study is to develop a novel CA model within a geographic information system (GIS) that consists of Bayesian Network (BN) and Influence Diagram (ID) sub‐models. Further, the proposed model is intended to simplify the definition of parameter values, transition rules and model structure. Multiple GIS layers provide inputs and the CA defines the transition rules by running the two sub‐models. In the BN sub‐model, land use drivers are encoded with conditional probabilities extracted from historical data to represent inter‐dependencies between the drivers. Using the ID sub‐model, the decision of changing from one land use state to another is made based on utility theory. The model was applied to simulate future land use changes in the Greater Vancouver Regional District (GVRD), Canada from 2001 to 2031. The results indicate that the model is able to detect spatio‐temporal drivers and generate various scenarios of land use change making it a useful tool for exploring complex planning scenarios.  相似文献   

Modeling different urban growth patterns based on the evolution of urban form: A case study from Huangpi,Central China     

《Applied geography (Sevenoaks, England)》2016

Spatial patterns of urban expansion mainly include infilling, edge expansion, and outlying growth patterns. The cellular automata (CA) model, is an important spatio-temporal dynamic model and effectively simulates infilling and edge-expansion urban expansion. but is evidently lacking in outlying scenarios. In addition, CA cannot explain the causes and processes of urban land expansion. Given these limitations, we proposed a novel urban expansion model called simulation model of different urban growth pattern (SMDUGP), which can work well in both adjacent (i.e., infilling and edge expansion) and outlying growth patterns. SMDUGP has two main components. First, we divided the non-urban region into two categories, namely, candidate region for adjacent pattern urban growth (CRFAP) and candidate region for outlying pattern urban growth (CRFOP). Second, different methods were utilized to simulate urban expansion in the different categories. In CRFAP, a CA model based on the potential of urban growth was proposed to simulate urban growth in relatively randomly selected urban growth regions based on the discrete selection model and Monte Carlo method as the expansion area was implemented in CRFOP. Huangpi, a suburban area in Wuhan, is utilized as the case study area to simulate the spatial and temporal dynamics of urban growth from 2004 to 2024. SMDUGP can effectively simulate outlying urban growth with a highly improved simulation precision compared with the traditional CA model and can explain the causes and processes of urban land expansion.  相似文献