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Spatial Scope: Africa > Sierra Leone > district level.Experiments: Identify impacts on rate of spread, if restrict travel.What is being modeled: spread of ebola, rate of spread.Trouble-shooting and test throughout the process.Importing data and building a NetLogo model.Getting/Organizing/Reviewing/Cleaning Data.GIS and data acquisition/cleaning/processing may be time intensive and require tools like QGIS and Open Office.GIS data may slow down model load and run time.At detailed map scale, challenge to get spatial reference system to match Netlogo reference such that 10 km = distance of 1 patch, for example. Need realistic agent behavior to correspond with spatial scale of model with GIS.It is not challenging to add GIS and CSV data to Netlogo.Can be more visually appealing with layers of information displayed in Netlogo.

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GIS data can provide attributes that can be used by patches and agents that would be too time consuming to manually code.

Support more “realistic” models and tie model to a specific place.

Using the GIS extension, you can use geographic data that is vector format as shapefiles or raster data as ASCII and TIFF. Quick reminder: GIS data types and formats

Downloading, cleaning, and importing GIS data into models.

Pros/Cons of introducing GIS data to your models.

Quick reminder: GIS data types and formats.

Models can be run as Java applets inside a web browser. NetLogo is run as a standalone application. NetLogo is written in Java so it can run on all major platforms (Mac OS X, Windows, Linux, etc). It builds off the functionality of our product StarLogoT and adds significant new features and a redesigned language and user interface.

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NetLogo is the next generation of the series of multi-agent modeling languages that started with StarLogo. Through the use of networked computers or handheld devices such as Texas Instruments graphing calculators, each student can control an agent in a simulation. NetLogo can also power a classroom participatory-simulation tool called HubNet. Several model-based inquiry curricula using NetLogo are currently under development. These simulations address many content areas in the natural and social sciences, including biology and medicine, physics and chemistry, mathematics and computer science, and economics and social psychology. It also comes with a Models Library, which is a large collection of pre-written simulations that can be used and modified. NetLogo has extensive documentation and tutorials. And, it is advanced enough to serve as a powerful tool for researchers in many fields. NetLogo is simple enough that students and teachers can easily run simulations or even build their own. It is also an authoring environment which enables students, teachers and curriculum developers to create their own models. NetLogo lets students open simulations and 'play' with them, exploring their behavior under various conditions. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from the interaction of many individuals. 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. NetLogo is a programmable modeling environment for simulating natural and social phenomena. NetLogo is a cross-platform multi-agent programmable modeling environment. Programmable modeling environment for simulating natural and social phenomena.

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