Exploring local well-being and vulnerability through OpenStreetMap: the case of Italy

Author:

Ninivaggi Federico,Cutrini EleonoraORCID

Funder

NextGenerationEU-Vitality

European Union - ESF

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference54 articles.

1. Andruszek, K., Wójcik, P.: Predicting well-being based on features visible from space–the case of Warsaw (no. 2020-37) (2020)

2. Armiento, M.: The sustainable welfare index: towards a threshold effect for Italy. Ecol. Econ. 152, 296–309 (2018)

3. Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (Eds.): OpenStreetMap in GIScience. Springer International Publishing, Cham (2015)

4. Bachtrögler-Unger, J., Dolls, M., Schüle, P., Taubenböck, H., Weigand, M.:Evaluating EU cohesion policy using satellite data, Bertelsmann Stiftung, doi:https://doi.org/10.11586/2021047. Available at https://www.bertelsmann-stiftung.de/en/publications/publication/did/evaluating-eu-cohesion-policy-using-satellite-data-en (2021)

5. Balducci, F.: Is OpenStreetMap a good source of information for cultural statistics? The case of Italian museums. Environ. Plann. B: Urban Anal. City Sci. 48(3), 503–520 (2021)

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