Lucas May Petry, Carlos Andres Ferrero, Luis Otavio Alvares, Chiara Renso, Vania Bogorny.
Transactions in GIS. 2019; 23: 960– 975.
- publication: https://onlinelibrary.wiley.com/doi/abs/10.1111/tgis.12542
- code: https://github.com/bigdata-ufsc/petry-2019-muitas
- data:
ASL
TagMyDay (from the SOBIGDATA project – not avaliable)
MUITAS bridges the gap between MSM and EDR. It considers the dimensions space, time, and semantics, allowing the definition of dimensions/attributes that are independent and should be analyzed individually (e.g. weather condition) or dependent dimensions that must be considered together because they are related to each other (e.g. hotel and review). This measure is interesting for data enriched with a high number of semantic dimensions.