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NetLogo is a powerfull tool for simulating spatial dynamics, which allows to focus on the procedure, being the graphic aspects managed by the NelLogo package. You need a Java virtual machine installed in your computer in order to run the examples.
UrbSyst This model simulates the organization of a cities system. The cities system is supposed to consist of a set of cities and towns located on a surface and distributed at random. Each town has a population which produces goods for the outside demand and for the inside demand coming from the inhabitants of towns comprised in the system. The inhabitants of each towns purchase goods from larger cities because these goods are not available in the towns where they live, and chose the city where to purchase goods by minimizing the transportation cost. The population of each town depends on the outside and inside demand. The dynamics based on this simple economic hypotheses produce a power law distribution of the towns. Users are allowed to change transportation cost thus changing the hierarchical degree of the system. The result of the perturbation of the system can be observed as well.  
UrbanGrowth This model simulates the self-organized growth of the urban fabric, in terms of built and un-built cells. Roads are included, as the drivers of the urban expansion. The model is based on cellular automata. The growth is logistic, so that the growth rate decreases when the built area saturates the available space. Users are allowed to design the roads network and to establish the rules for the cells interaction  
LandUse&Market The model simulates the change in urban land use as it results from the real estate market dynamics. The model combines a land rent model a la von Thunen, with a segregation dynamics (Schelling model). Four agents classes are included in the model: retailers, firms, rich, and poor households. Each class of agent has an utility function in which the distance from the center of the surface, and the proximity to similar agents play the crucial role. In dependence of the utility function each agent bid for a land plot which is assigned to the best bidder, so that each land use is assigned, in the long period, to the best utilization under the established income distribution. Trough the variation of the parameter of each class of agents, users can simulate various urban configuration. In addition the transition from one configuration to another can be observed and evaluated.  
Accessibility Accessibility is one of the main features of an urban area. Land rent and housing price largely depend on it. In turn, accessibility depends on the location of the attraction centers (CBD and working places, supermarkets, public facilities such as schools etc.) and on the roads and public transit network. This last is a crucial factor in an urban area in that it changes the metric of the space, making easy the movements along the network's links. The model calculates the accessibility map, given a set of centers in which some facilities are located, and the roads network which is utilized in order to travel from the origin to the centers. Once the accessibility map has been calculated the user can makes some interesting variations to the initial spatial pattern, changing both the roads network and the location and number of the centers.  
randomWalk Sprawl and leapfrogging are diffused phenomena in the urban development. The first is responsible for the scattered urban fabric, whose dynamics is represented by leap-frogging: far from city center area, are developed before the nearest ones, that will be filled later. To simulate this dynamics we utilize agents (random walkers). This model represents in fact the urban development as a process of settlement of agents (random walkers) randomly looking for a place where to settle. Two possibilities are available to a random walker for settling: everywhere at random with a low probability, or nearby already settled random walkers. More than one agent can settle in a patch, and once settled an agent stops moving. This model is able to represents the scattered shape of the urban agglomeration as resulting from sprawl and leapfrogging dynamics of urban evolution.  
urbanMorphology The urban morphology studies the shape of the urban fabric. Especially in historic towns it results from an organic growth, and from the self-adaptation of the systems to the environment. Streets and buildings are the main components of the urban fabric. Their evolution is simulated by the model which starts from a central initial seed. From this seed a crossing is generated, so that four streets begin to develop. They will generate lateral buildings and orthogonal roads, and very soon the typical organic urban fabric appears. By varying two simple parameters one obtains very different layouts, and your city will grow under your eyes, every time with a different shape.  
Network analysis  
Town design  
Ants Cemitery  
Shopping agents