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Geospatial Computational Social Science

Geospatial Computational Social Science. Saturday, April 23, 2016. Walk This Way: Pedestrian agent-based model using mobility datasets. The visualization of the model looks like this:. Grey boxes are the obstacles. Yellow triangles are the agents.). Here is a video showing the simulation process:. Diagram of the route-planning algorithm:. Scenario 1: No Realistic Information about Entrance/Exit Probabilities or Heat Maps. Scenario 2: Realistic Entrance/Exit Probabilities But Disabled Heat Maps. In the fi...

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Geospatial Computational Social Science. Saturday, April 23, 2016. Walk This Way: Pedestrian agent-based model using mobility datasets. The visualization of the model looks like this:. Grey boxes are the obstacles. Yellow triangles are the agents.). Here is a video showing the simulation process:. Diagram of the route-planning algorithm:. Scenario 1: No Realistic Information about Entrance/Exit Probabilities or Heat Maps. Scenario 2: Realistic Entrance/Exit Probabilities But Disabled Heat Maps. In the fi...
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Geospatial Computational Social Science | geospatialcss.blogspot.com Reviews

https://geospatialcss.blogspot.com

Geospatial Computational Social Science. Saturday, April 23, 2016. Walk This Way: Pedestrian agent-based model using mobility datasets. The visualization of the model looks like this:. Grey boxes are the obstacles. Yellow triangles are the agents.). Here is a video showing the simulation process:. Diagram of the route-planning algorithm:. Scenario 1: No Realistic Information about Entrance/Exit Probabilities or Heat Maps. Scenario 2: Realistic Entrance/Exit Probabilities But Disabled Heat Maps. In the fi...

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Geospatial Computational Social Science: April 2016

http://geospatialcss.blogspot.com/2016_04_01_archive.html

Geospatial Computational Social Science. Saturday, April 23, 2016. Walk This Way: Pedestrian agent-based model using mobility datasets. The visualization of the model looks like this:. Grey boxes are the obstacles. Yellow triangles are the agents.). Here is a video showing the simulation process:. Diagram of the route-planning algorithm:. Scenario 1: No Realistic Information about Entrance/Exit Probabilities or Heat Maps. Scenario 2: Realistic Entrance/Exit Probabilities But Disabled Heat Maps. In the fi...

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Geospatial Computational Social Science: Walk This Way: Pedestrian agent-based model using mobility datasets

http://geospatialcss.blogspot.com/2016/04/pedestrian-model-using-mobility-datasets.html

Geospatial Computational Social Science. Saturday, April 23, 2016. Walk This Way: Pedestrian agent-based model using mobility datasets. The visualization of the model looks like this:. Grey boxes are the obstacles. Yellow triangles are the agents.). Here is a video showing the simulation process:. Diagram of the route-planning algorithm:. Scenario 1: No Realistic Information about Entrance/Exit Probabilities or Heat Maps. Scenario 2: Realistic Entrance/Exit Probabilities But Disabled Heat Maps. In the fi...

3

Geospatial Computational Social Science: November 2015

http://geospatialcss.blogspot.com/2015_11_01_archive.html

Geospatial Computational Social Science. Wednesday, November 18, 2015. Segregation Model and Calculation of Moran's I. Recently I have created a segregation model with the calculation of Moran's I, a measure of spatial autocorrelation developed by Patrick Alfred Pierce Moran. In this model, I am using the map of Washington DC.The form of data is vector data. Here is the map I am using in this model. Here is a video recording the simulation process. How to identify polygon neighbors? There is a button Exp...

4

Geospatial Computational Social Science: Agents Exiting A Room

http://geospatialcss.blogspot.com/2016/02/agents-exiting-room.html

Geospatial Computational Social Science. Saturday, February 6, 2016. Agents Exiting A Room. This is a model of agents who try to leave the room through the exit on the right hand side. The model also records the frequency of each cell being chosen as a path and draws the result into a path graph, which can be exported to GIS for further analysis. Here is a graph showing the path graph opened in GIS:. A video showing the process:. Https:/ github.com/YangZhouCSS/Pedestrian model. August 18, 2016 at 11:23 AM.

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Geospatial Computational Social Science: February 2016

http://geospatialcss.blogspot.com/2016_02_01_archive.html

Geospatial Computational Social Science. Monday, February 15, 2016. Pedestrian model of agents exiting a building. I built a model of pedestrians who try to leave the floor through one or two exits. The map being used is from GMU’s Krasnow Institute. The model records the frequency of each cell being chosen as a path and draws the result into a path graph, which can be exported to ArcGIS for further analysis. Here is a graph showing the path graph opened in ArcGIS:. Here is the code:. In order to calcula...

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GIS and Agent-Based Modeling: Students

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In conjunction with my teaching. Activities, I am and have been actively engaged in graduate student advising and mentoring at George Mason University. I see mentoring activities not only as an avenue to strengthen the link between research and teaching, but as crucial for training the next generation of experts and scientists in my field. Completed PhD. Student Advisor:. Computational Social Science; Ph.D. awarded Spring 2014 (Currently Postdoctoral Fellow at University College London). Computational So...

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Geospatial Computational Social Science

Geospatial Computational Social Science. Saturday, April 23, 2016. Walk This Way: Pedestrian agent-based model using mobility datasets. The visualization of the model looks like this:. Grey boxes are the obstacles. Yellow triangles are the agents.). Here is a video showing the simulation process:. Diagram of the route-planning algorithm:. Scenario 1: No Realistic Information about Entrance/Exit Probabilities or Heat Maps. Scenario 2: Realistic Entrance/Exit Probabilities But Disabled Heat Maps. In the fi...

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