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Home > ITACOSM 2019 > ITACOSM 2019 - Survey and Data Science > Presentations and Authors

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Track: All Tracks Contributed paper Keynote speakers SPE.1 - Small area estimation using integrated and big data sources SPE.2 - Optimal sampling design SPE.3 - Machine learning for socio-economic surveys SPE.4 - Small area estimation methods: innovations and applied issues SPE.5 - Analysis of Official Statistics for decision making SPE.6 - Environmental surveys: theoretical and practical issues SPE.7 - Inference from informative and non-probability survey samples SPE.8 - Spatial sampling and applications SPE.9 - Record linkage and statistical matching techniques SPE.10 - Sample surveys for sensitive data SPE.11 - Quality of multi-source statistics SPE.12 - Population size estimation via integration of different sources CON.1 - Small area estimation CON.2 - Issues in complex surveys CON.3 - Methods for the analysis of survey data CON.4 - Advances in survey data analysis CON.5 - Non sampling error CON.6 - Real survey data analysis issues

 

SPE.1 - Small area estimation using integrated and big data sources

Measuring well-being and poverty at local level using remote sensing data
Ralf Muennich, Christopher Caratiola, Hanna Dieckmann, Max Gerhards, Thomas Udelhoven

This work is licensed under a Creative Commons Attribution 3.0 License.

Contact: itacosm2019@gmail.com