AGILE is the Association of Geographic Information Laboratories in Europe. With over 80 members, it provides a forum for geographic information researchers and educators to meet and exchange ideas. The 29th AGILE Conference will take place in Tartu in 2026 from June 16th - 19th and is organized by the University of ​​Tartu Landscape Geoinformatics Lab under the theme: "“Smart Data: Making geospatial data actionable”.

As part of the ongoing celebrations marking the 30th anniversary of the launch of the MiraMon GIS, Lluís Pesquer (Grumets Research Group, CREAF), Miquel Ninyerola (Grumets Research Group, Departament de Biologia Animal, de Biologia Vegetal i d’Ecologia, Universitat Autònoma de Barcelona) and Xavier Pons (Grumets Research Group, Departament de Geografia, Universitat Autònoma de Barcelona) will host a workshop on climate surface modelling with remote and in-situ data during the AGILE Conference 2026. The workshop will guide participants through the entire cartographic workflow, from raw data acquisition to final data publication.

If you are interested in multivariate spatial analysis, geostatistics and remote sensing application in 
climate and have basic knowledge of GIS and remote sensing formats and tools, yoy may be interested in participating.

The objectives of the workshop are:

• Demonstrate the integration of meteorological station data and satellite observations to produce accurate climate maps.
• Showcase the full workflow using MiraMon tools, from raw data acquisition to map generation.
• Guide participants through data exploration, preprocessing, including cleaning and transformation into suitable formats.
• Introduce spatial interpolation and multivariate geostatistical techniques for generating continuous climate surfaces.
• Highlight the importance of metadata, lineage (traceability) and documentation following international standards.
• Discuss challenges and solutions in combining heterogeneous data sources for climate analysis.

The 1h 45 min session will feature:

1. A review of the multivariate geostatistical methods for combining in-situ and remote sensing 
   climate data.
2. A hands-on tutorial in which participants gain experience using the geostatistical tools which 
   properly combine remote sensing products and in-situ measurements in order to generate 
   climate continuous surfaces.