Quantitative research
CCI uses Stata and Python for quantitative research.
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CCICenter forClimate Intelligence
Expertise
Explore CCI’s technical expertise in research, data analysis, GIS, Earth observation and climate and disaster-risk analysis.
CCI uses Stata and Python for quantitative research.
CCI uses MAXQDA and undertakes research in humanitarian and resilience contexts.
SurveyCTO is identified as a CCI tool; an enumerator network supports field work across various districts.
CCI identifies ArcGIS as a geospatial service/tool.
Google Earth Engine and documented Earth observation project work support remote sensing applications.
Flood-risk analysis and landslide-susceptibility mapping are documented in CCI’s portfolio.
Multiple documented projects relate to anticipatory action and triggering criteria.
Early warning systems are included in the documented portfolio.
Tools and platforms
Python · R
Data analysis, visualization and analytical workflows.
ArcGIS Pro · GeoAI
GIS, spatial analysis, mapping and visualization.
Google Earth Engine
Earth observation, satellite analysis and geospatial research.
Stata · SPSS
Statistical analysis, data management and quantitative research.
NVivo · ATLAS.ti
Qualitative data management, coding and thematic analysis.
SurveyCTO · Kobo Toolbox
Digital survey design, field data collection and research workflows.
For research assignments, technical collaboration, consultancy opportunities or other enquiries, contact CCI.
Contact CCI