Multidimensional Geospatial Modeling

Introduction

The course covered concepts, methods and tools for analysis and modeling of landscape dynamics using multitemporal georeferenced data and simulations. Representation of evolving phenomena using point clouds and particles, surfaces and voxel models will be explained. The course will also include hands-on practice and development of techniques for visualization and communication of lidar data time series and outputs of dynamic simulations using the state of the art technology in the GIST Visualization laboratory, such as 3D projection, immersion and tangible modeling system.

Portfolio

The following assignments make up the porfolio for this class along with a final project. The titles are descriptive of the material covered for each assignment and link to the write-up of each assignment. Along with a being in a webpage format, a link to a PDF of each assignment is also provided next to each title. Lastly, a project (including proposal and report) and teaching proposal are provided.

  1. Visualizing evolving surfaces in a space-time cube
  2. Computing and Visualizing Volumes
  3. Geospatial Simulations of Dynamic Processes
  4. Multiple Return LiDAR Data Analysis and Visualization of Landforms
  5. Modeling Impact of Topographic Change on Landscape Processes – TanGeoMS
  6. Management and Visualization of Multitemporal Data in GRASS 7
  7. Coastal Dynamics and Vulnerability
  8. Eye Tracking
  9. WebGIS: Leaflet and QGIS
  10. Trail Design and Pedestrian Access Optimization in Changing Landscapes
  11. Topographic Change and Soil Infiltration
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