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---
title: "Spatial Ecology - Geocomputation with GRASS"
author: "Giuseppe Amatulli"
date: 06/19/2025
format:
html:
toc: true
code-tools: true
code-copy: true
code-fold: false
categories: [advanced, Bash, HPC, hydrology, external, course]
description: GRASS tutorials for geocomputation, hydrology, species distribution modeling, and HPC.
execute:
eval: false
---
{.preview-image}
The following tutorials were developed as part of the
[Spatial Ecology courses](https://spatial-ecology.net/training/),
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_colab.html).
<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>
---
Author: Giuseppe Amatulli, Yale University / Spatial Ecology
These materials were developed as part of the US NSF-funded POSE project (Award 2303651).