A Spatial Statistical Approach for the Analysis of Urban Poverty

Paola Perchinunno, Antonella Massari, Samuela L'Abbate, Monica Carbonara. A Spatial Statistical Approach for the Analysis of Urban Poverty. In Osvaldo Gervasi, Beniamino Murgante, Ana Maria A. C. Rocha, Chiara Garau, Francesco Scorza, Yeliz Karaca, Carmelo M. Torre, editors, Computational Science and Its Applications - ICCSA 2023 Workshops - Athens, Greece, July 3-6, 2023, Proceedings, Part III. Volume 14106 of Lecture Notes in Computer Science, pages 389-404, Springer, 2023. [doi]

@inproceedings{PerchinunnoMLC23a,
  title = {A Spatial Statistical Approach for the Analysis of Urban Poverty},
  author = {Paola Perchinunno and Antonella Massari and Samuela L'Abbate and Monica Carbonara},
  year = {2023},
  doi = {10.1007/978-3-031-37111-0_28},
  url = {https://doi.org/10.1007/978-3-031-37111-0_28},
  researchr = {https://researchr.org/publication/PerchinunnoMLC23a},
  cites = {0},
  citedby = {0},
  pages = {389-404},
  booktitle = {Computational Science and Its Applications - ICCSA 2023 Workshops - Athens, Greece, July 3-6, 2023, Proceedings, Part III},
  editor = {Osvaldo Gervasi and Beniamino Murgante and Ana Maria A. C. Rocha and Chiara Garau and Francesco Scorza and Yeliz Karaca and Carmelo M. Torre},
  volume = {14106},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-37111-0},
}