Different types of data need different statistical methods to be analyzed. For instance, raw sensor data can be analyzed using a given set of techniques, whereas to analyze aggregated, we have to consider this previous data processing. Therefore, once we have identified the meaningful abstraction levels for the sensor data, we propose to identify the proper statistical methods to analyze these data. These methods will be part of a general framework which allows to pick sensors, tools, statistical methods, standards, and models to support decisions and understanding in geospatial applications at multiple scales.