Update README.md

Author: anitagraser

README.md

@@ -1,4 +1,4 @@
-# WP4 Emerald: T4.1 - Trajectory Data / Travel Time Analysis -- Trajectools
+# QGIS Trajectools
 
 <a href="https://codeberg.org/movingpandas/trajectools">
     <img alt="Get it on Codeberg" src="https://get-it-on.codeberg.org/get-it-on-blue-on-white.png" height="60" align="right">
@@ -8,29 +8,18 @@
 [![Issue Tracker](https://img.shields.io/badge/Issue_tracker-Codeberg-blue.svg)](https://codeberg.org/movingpandas/trajectools/issues) 
 [![Zenodo badge](https://zenodo.org/badge/DOI/10.5281/zenodo.13847642.svg)](https://doi.org/10.5281/zenodo.13847642)
 
-## Description
+The Trajectools plugin adds mobility data analysis algorithms to the QGIS Processing toolbox. 
 
-This repository contains the first version of QGIS Processing Trajectools plugin for the Trajectory Data / Travel Time Analysis Emerald, developed as part of T4.1 of WP4 within EMERALDS project. 
-The Trajectools plugin adds trajectory analysis algorithms to the QGIS Processing toolbox. 
-This README provides essential information for setting up this Emerald.
+![trajectools](https://github.com/movingpandas/qgis-processing-trajectory/assets/590385/218acb03-41be-4ea0-aee4-b773911d58f9)
 
-Related repositories include:
-* [T4.1 - Trajectory Data / Travel Time Analysis -- No-code Model](https://github.com/emeralds-horizon/UC3-traveltime-analytics)
-* [T4.1 - Trajectory Data / Travel Time Analysis -- Cartoblog Post](https://github.com/emeralds-horizon/Cartoblog)
 
 
-## Table of Contents
-
-* [Requirements](#requirements)
-* [Examples](#examples)
-* [Authors](#authors)
-  
-
 ## Requirements
-Running these models requires QGIS (a popular open source geographic information system) with MovingPandas (a Python library for movement data analysis) and the QGIS Trajectools plugin.
 
 Trajectools requires [MovingPandas](https://github.com/movingpandas/movingpandas) >= 0.22.3 and optionally integrates [scikit-mobility](https://scikit-mobility.github.io/scikit-mobility/) (for privacy tests), [stonesoup](https://stonesoup.readthedocs.io/) (for smoothing), and [gtfs_functions](https://github.com/Bondify/gtfs_functions) (for GTFS data support). 
 
+### Conda install
+
 The recommended way to install these dependencies is through conda/mamba:
 
 ```
@@ -59,14 +48,14 @@ pip.main(['install', 'gtfs_functions'])
 The Trajectools plugin can be installed directly in QGIS using the built-in Plugin Manager:
 
 ![plugin manager](https://github.com/movingpandas/qgis-processing-trajectory/assets/590385/edd86ed3-8118-4163-bfe5-993b533e455c)
+
 **Figure 1: QGIS Plugin Manager with Trajectools plugin installed.**
 
 ![Trajectools Toolbox](screenshots/toolbox.PNG)
-**Figure 2: Trajectools (v2.4) algorithms in the QGIS Processing toolbox**
 
+**Figure 2: Trajectools (v2.4) algorithms in the QGIS Processing toolbox**
 
 ## Examples
-The Trajectools plugin is used in EMERALDS Use Case 3 to analyze travel time on public transport network segments, as documented in [the corresponding repo](https://github.com/emeralds-horizon/UC3-traveltime-analytics).
 
 The individual Trajectools algorithms are flexible and modular and can therefore be used on a wide array on input datasets, including, for example, the open [Microsoft Geolife dataset](http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/) a [sample](https://github.com/emeralds-horizon/trajectools-qgis/tree/main/sample_data) of which is included in the plugin repo:
 
@@ -86,9 +75,6 @@ The individual Trajectools algorithms are flexible and modular and can therefore
 [![Trajectools presentation at QGISUC2025](screenshots/trajectoos-qgisuc25.png)](https://youtu.be/T7haF1DPy2U)
 
 
-## Authors
-AIT
-
 ## Citation information
 
 Please cite [0] when using Trajectools in your research and reference the appropriate release version using the Zenodo DOI: https://doi.org/10.5281/zenodo.13847642
@@ -106,3 +92,7 @@ Please cite [0] when using Trajectools in your research and reference the approp
   doi = {10.1109/MDM61037.2024.00048},
 }
 ```
+
+## Acknowledgements
+
+This work was supported in part by the Horizon Framework Programme of the European Union under grant agreement No. 101093051 ([EMERALDS](https://www.emeralds-horizon.eu/)).