NCSU GIS 714:
Geospatial Computing and Simulations

1. Introduction to Geocomputation

1.A Foundations

• geocomputation definitions
• motivations for geosimulation
• models for geosimulation and their properties
• applications in science and practice

Lecture

• Lecture slides: Introduction to geocomputation
• Lecture slides: Introduction to GRASS GIS as geocomputation and simulations environment

• Geocomputation and geosimulation:
  • Detailed Definition of Geocomputation (archived from geocomputation.org)
  • Geocomputation with R
  • Geocomputation with Python
  • Geocomputation: A Practical Primer
  • Geosimulation with focus on urban environments, includes crowd simulations
  • Castle C, Crooks A T, de Smith M J, Goodchild M F and Longley P A (2018) Geocomputational methods and modeling, Chapter 8 in de Smith M J, Goodchild M F, and Longley P A (2018) Geospatial Analysis, 6th ed, The Winchelsea Press, UK

• Open source software development and GRASS GIS
  • Petras V., Mitasova H., Petrasova, A. 2021. Open Source Software Development. In: The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2021 Edition), John P. Wilson (ed.).
  • Learn GRASS GIS tutorials

Assignment

• GRASS GIS desktop: Getting started with GRASS GIS desktop (GIS582 Geospatial Modeling course)
• Getting started with GRASS GIS 8.4.0: GIS582 assignment videos 1/2, 2/2

1.B Dynamic spatial phenomena

• observation time series and multitemporal data
• fundamental physical, biological, and socio-economic processes
• static and dynamic simulations
• managing geospatial multitemporal data
• dynamic visualization

Lecture

• Dynamic spatial phenomena

• Gebbert, S., Pebesma, E., 2014. A temporal GIS for field based environmental modeling. Environmental Modelling and Software 53, 1-12. preprintpdf
• Gebbert, S., Pebesma, E. 2017. The GRASS GIS temporal framework. International Journal of Geographical Information Science 31, 1273-1292
• Brief introduction to GRASS GIS Temporal Framework
• GIS-based Analysis of Coastal Lidar Time-Series, access through NCSU libraries
• GRASS GIS and R raster time series processing
• Analyzing multitemporal UAS data

• Visualization of global weather conditions
• Modeling dynamic processes within GIS, Chapter 8.1.1 in Geospatial Analysis 6th ed.

Assignment

• Intro to GRASS GIS Jupyter Notebooks
• GRASS Temporal Analysis Notebooks processing climate data, visualization of dynamic topography, visualization of modeling output.
  You can run the notebooks on-line or locally, on your computer, following the instructions on the github webpage.
• OPTIONAL:Analyzing space-time satellite data for disease ecology applications with GRASS GIS and R by Veronica Andreo with associated Presentation

Homework 1. A and B