![]() Although people may enjoy being in a community and having neighbors they may not want to live right on top of each other. I view nearest-neighbor-distance as the closeness to your other neighbors. List at least one other measurement that we could have used and explain how it differs from mean nearest-neighbor-distance.” Describe why nearest-neighbor-distance may be important to homeowners. There is no true pattern, and the areas they chose to build/buy is all random.Ĥ) In our parameter sweep we used the mean nearest-neighbor-distance as an output descriptive statistic. It shows that when the parameters distance-service and aesthetic-quality are set at 0 and the neighborhood-density is turned all the way up to 1, that it has no to little affect on the agents and the decisions they make. This screen shot is just a visual for the data chart pictured above. While the blue box shows how much the parameter distance-service changes the nnd results when it changes from 0 t0. The red box shows that the neighborhood-density goes through 0.5 and 1 and doesn’t change the outcome of the nnd. This picture shows the difference between the the parameter neighborhood-density, vs the effects of distance-service. Most people are not bothered by buying or building in a neighborhood setting and being part of a community, so it doesn’t influence their decisions as much as being close to utilities. I don’t think this parameter bothers the agents as much because the agents are supposed to be modeling real people choosing areas to live in. 5, and 1 all at the same time as aesthetic-quality, and distance-service were still at zero, and it didn’t change the nnd output as drastically as when one of the other parameters changed to something other than 0. In the output table you can see that the parameter goes through steps at 0. Nearest-neighbor is least sensitive to the parameter neighborhood-density. 5ģ) Which parameter is the nearest-neighbor distance least sensitive to? Why do you think this is the case? This shows the drop right around step 30, when distance-service is switched from 0 to. The agents at the starting point have no preference of where they would want to build, but once you give them new parameters that influence their choice then there is a change in the decisions the agents make. As soon as one of these preferences is turned on or changes from zero, then you see that there is a large drop in the nnd, which happens around run 30. In the graph below it shows that while these two preferences are off, or at zero, the nnd doesn’t really fluctuate. The nearest-neighbor-distance is most sensitive to the parameters of aesthetic-quality and distance-service. Each time one parameter is changed, it can create a whole new outcome and set of rules for the model even if the rest of the parameters stay the same.Ģ) Which parameter is the nearest-neighbor distance most sensitive to? Why do you think this is the case? Where variables work by changing one thing to get one outcome, a parameter can have many different options to create one special set of rules or boundaries, that produce one outcome. But parameters are usually something that not only changes something, but sets a limit or boundary. A parameter is like the independent variable, in that it can be changed, and if you do change it, then it can change the outcome. While the dependent variable is the output that is changed, due to the change in the independent variable. The independent variable is the variable that changes, or the input. In scientific experiments there is always an independent variable and dependent variable. Our graph visuals will help us answer our discussion questions that will cover model sensitivity and uncertainty.ġ) What is the difference between a variable and a parameter?Ī variable in an experiment is usually a factor or a trait. ![]() With the data tables we receive from the sweep we will be able to create visuals with the data in excel. We will be completing a sensitivity sweep of the model by using the parameter sweep tool Behavior Space within Netlogo. For assignment 5 we still are working with the same model we used in assignment 4.
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