Menkli
commented
2 years ago Part of: WPII.1.: Geospatial data assimilation toolbox
Aim: Development of a reliable data assimilation strategy that allows the assessment of complex problems in the humanitarian field, that cannot be directly measured or described by single indicators, but rather need more combined, harmonized information of different data sources.
Specific Objective (SO) II.1.: Finding a robust strategy to combine validated data of different sources with meaningful analysis into aggregated and spatially explicit results including the following steps:
(1) Data harvesting (collection, interfaces to data portals)
(2) Quality control
(3) Data analysis (spatial analyses, interpolation)
(4) Data aggregation (harmonization, normalization, statistical analyses, weighting, aggregation) and
(5) Spatial regionalization and
(6) Validation
Research Questions (RQ) II.1.:
- How to find, evaluate, harmonize and modify available data into meaningful indicators?
- How to derive a statistically and meaningful sound index to describe specific phenomena (described in WP II.2 and II.3)
- and at the same time derive spatially distinct, homogenous areas that reflect these phenomena independent of predefined administrative boundaries?
Development of a data harvesting strategy, including the identification of global data sets to exploit the full potential of freely available big data for humanitarian applications.