Throughout history, location has played a key role in the development and progress of people and societies.

During this session, HERE will show how are they focused on the concept of location and the potential it has to radically improve the way we do business, the way we get around and the way we live, shaping the future by redefining what was formerly known as a map.

We will discover anecdotes and curiosities about mapping technology: From the beginning, when they started digitizing maps to pioneer in-car navigation systems, to the present, representing living three-dimensional maps that grow upwards, breathing with layers of information and insights.

This representation of reality will maximize the possibilities of the different industries to create services and developments that enable people and objects to move, interact and live faster, safer and in a more efficient way than ever before.

Three parallel workshops that aim to provide participants with practical, hands-on exercises and activities.

Workshop 1: (working title)The analysis of spatial sensor data by data stream management systems
Facilitator: Dr. Thomas Brinkhoff, professor in Geoinformatics at the Jade University in Oldenburg
Content:
* Introduction into the concepts of data stream management (systems)
* Accessing spatial sensor data by using the SensorThings API and MQTT
* Analysis of spatial data by using a data stream management system
Requirements:
* Computer/Laptop with
- (wireless) network connection
- Python environment (external packages: requests, matplotlib)
- WOS2 Stream Processor
* Participants should be familiar with basic features of Python and SQL.

Workshop 2: Building a QGIS-based field data gathering platform
Facilitator: Tim Sutton, co-founder of Kartoza
Synopsis: In this workshop we will take you on a grand tour of the process of using QGIS in the field.
Content:
* Creating GeoPackages with QGIS
* Creating forms in QGIS
* Map themes in QGIS
* Mergin - putting your QGIS projects in the cloud
* INPUT - getting out into the 'big blue room' with your QGIS project and INPUT
Requirements:
* Participants should already be familiar with the basic operations of QGIS
* Bring along and Android phone or tablet. We can use iOS too but it will be simpler if you have an Android device.
* A laptop with QGIS 3.8 or newer installed.

Workshop 3: Retrieve and process satellite images time series towards data analysis in R
Facilitator: Mehdi Moradi and Manuel Montesino-SanMartin, Departamento de Estadística e Investigación Operativa, Universidad Pública de Navarra
Abstract:
Satellite images are valuable sources to monitor the changes happening in the earth's surface patterns as well as dynamics. However, the analyses of such images often require a long series of remotely-sensed data. In two hands-on sessions, we first cover the use of the R package RGISTools to facilitate the handling of satellite images time series from major satellite programs, such as Landsat, MODIS, and Sentinel, covering in a comprehensive manner the retrieval, and customizing and processing satellite images. Having retrieved and processed satellite images time series of e.g. land surface temperature (LST) and/or vegetation indices from MODIS, we then review some of the most considered change-point and trend detection methods, and make use of them to discuss the areas where have faced changes over time together with the corresponding time of change for some provinces/cities in Europe.
Instruction:
All the instructions will be made available at this Github repository.
Target audience:
Anyone interested in remote sensing, R programming, and spatio-temporal data analysis. Materials are designed for an intermediate audience.