Spatial Ecology - Geocomputation with GRASS

GRASS tutorials for geocomputation, hydrology, species distribution modeling, and HPC.

The following tutorials were developed as part of the Spatial Ecology courses, where students are introduced to an array of powerful open-source geocomputation tools and machine learning methodologies under the Linux environment.

GRASS Introduction

Learn the basics of GRASS including the data structure, command syntax, working environment, mapsets, and region settings using the command line.

https://spatial-ecology.net/docs/build/html/GRASS/grass_intro.html

Start a New GRASS Project

Create a new GRASS project from scratch, import data, and configure the working environment.

https://spatial-ecology.net/docs/build/html/GRASS/grass_newproject.html

Stream-Network Extraction and Basin Delineation

Use GRASS for hydrographic feature extraction at large scales, including tiled flow accumulation, stream network extraction, and basin delineation. Also available as a Google Colab version.

https://spatial-ecology.net/docs/build/html/GRASS/grass_hydro.html

Species Distribution Modeling with GRASS

Geocomputation for a Random Forest species distribution model using GRASS to prepare environmental predictors and generate predictions.

https://spatial-ecology.net/docs/build/html/GRASS/SDM1_MWood_gecomp4GRASS.html

https://spatial-ecology.net/docs/build/html/GRASS/SDM1_MWood_GRASSmodel.html

Use of GRASS in HPC

Set up and run GRASS in a High Performance Computing cluster environment using Bash scripting and the Slurm queuing system.

https://spatial-ecology.net/docs/build/html/HPC/hpc_setting_grass.html

Video recording (29 min): https://youtu.be/4i1Fs29D0-A

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Author: Giuseppe Amatulli, Yale University / Spatial Ecology

These materials were developed as part of the US NSF-funded POSE project (Award 2303651).