These class objects hold all the information that is needed to run these experiments remotely from R, such as path to NetLogo installation folder, path to the model file and the experiment specifications itself. Instead of defining experiments within NetLogo Behavior Space, experiments are defined in R using the class objects of the nlrx package. The nlrx package utilizes the commandline functionality of Behavior Space to execute NetLogo simulations directly from R. However, in many cases it is useful to store such specifications along with the model output and analyses results in order to enable fully reproducible model analyses. Furthermore, Behavior Space experiment specifications are stored within the NetLogo file and are not easily accessible from R. One limitation of Behavior Space is, that it only supports full-factorial parameter designs, which may not be appropriate for complex model analyses. This experiment tool can be executed via command line in combination with an XML file that contains the experiment specifications, such as runtime, variables, output measurements, stop conditions, and more. NetLogo comes with the built-in experiment tool Behavior Space that allows to setup and execute model simulations with different settings and parameter variations and to collect model output. More details on NetLogo itself are available online: NetLogo online documentation NetLogo is developed and maintained at the Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. NetLogo focusses on implementation of agent-based and spatially explicit simulation models, although system dynamics models are supported as well. NetLogo is a free, open-source and cross-platform modelling environment for simulating natural and social phenomena. I am exploring agent-based modeling for the data visualization.The nlrx package provides tools to setup and execute NetLogo simulations from R. The above images are from the prototype for a large scale “cube” installation. I am collecting real-time migration data of immigrants and refugees video mapping their movements on to structures inspired by power lines connecting across the landscape. I played with this code a little during my residency November 2016 at Santa Fe Art Institute. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from their interaction. Modelers can give instructions to hundreds or thousands of “agents” all operating independently. NetLogo is particularly well suited for modeling complex systems developing over time. We are exploring Netlogo, ‘a programmable modeling environment for simulating natural and social phenomena. April 23 12-5m at Enos Garcia Elementary. ![]() The team has designed and built a unique projection mapping station for the Invent Event. STEMarts LAB Projecting Particles coding team sponsored by ATLAS Experimet at CERN, in partnership with Tracy Gallighan at Taos High School. Invent Event at Enos Garcia April 23, 2016.Twirl Event. Invent Event at Enos Garcia April 23, 2016.Twirl Event ![]() Cade Harris and Melanie Redmondĭesigning the projection cube geometry.Aryana and Melanie Cade Harris and Melanie Redmondīuiiding the projection cube maker station prototype. Buiiding the projection cube maker station.
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