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57 changes: 57 additions & 0 deletions content/tutorials/time_series/time_series_home.qmd
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---
title: "Deep dive into time series analysis with GRASS"
author: "Veronica Andreo"
date: 2025-05-27
date-modified: today
image: images/tgrass_flowchart.png
format:
ipynb: default
html:
toc: true
code-tools: true
code-copy: true
code-fold: false
categories: [time series, raster, advanced, Python]
description: "A collection of tutorials demonstrating how to handle time series data in GRASS, from basic concepts to advanced spatiotemporal analysis."
engine: jupyter
execute:
eval: false
---

**GRASS** offers robust tools for working with spatiotemporal data, especially raster time series. This page collects all the tutorials that focus on time series workflows, from creating space-time datasets to performing time-aware analysis and visualizations.

Whether you're just getting started or looking to perform advanced temporal algebra, you'll find a range of examples below.

## 📚 Tutorial Collection

Here are the available tutorials, ordered to guide you from basic to more advanced concepts:

1. **[Introduction to Time Series in GRASS](./time_series_management_and_visualization.qmd)**
Learn the basics of space-time datasets and time series visualization.

2. **[Temporal aggregations](./time_series_aggregations.qmd)**
Group and summarize time series data by week, month, or season.

3. **[Temporal algebra](./time_series_algebra.qmd)**
Use temporal algebra to query and analyze space-time datasets based on time relations.

4. **[Temporal accumulation](./time_series_accumulations.qmd)**
Compute cumulative temperature values over time and find suitable areas for mosquitoes.

5. **[Temporal gap-filling](./time_series_gap_filling.qmd)**
Fill missing values using temporal interpolation and smoothing techniques.

6. **[Temporal query with vector data](./time_series_query_with_vector.qmd_)**
Extract time series values at specific vector locations (e.g., points or polygons).

7. **[Temporal subset, import and export](./time_series_extraction.qmd)**
Subset time series by date, and learn how to import/export space-time datasets effectively.

<!-- ## 🧭 What's Next?

You can also explore related categories:

- [Raster analysis](index.qmd#category=raster)
- [Python scripting](index.qmd#category=Python)

Or [return to the home page](index.qmd) to browse all tutorials. -->
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