Improving Business-as-Usual Scenarios in Land Change Modelling by Extending the Calibration Period and Integrating Demographic Data

Romain Mejean, Martin Paegelow, Mehdi Saqalli, Doryan Kaced. Improving Business-as-Usual Scenarios in Land Change Modelling by Extending the Calibration Period and Integrating Demographic Data. In Phaedon C. Kyriakidis, Diofantos G. Hadjimitsis, Dimitrios Skarlatos, Ali Mansourian, editors, Geospatial Technologies for Local and Regional Development - Proceedings of the 22nd AGILE Conference on Geographic Information Science, Limassol, Cyprus, June 17-20, 2019. Lecture Notes in Geoinformation and Cartography, pages 243-260, Springer, 2019. [doi]

@inproceedings{MejeanPSK19,
  title = {Improving Business-as-Usual Scenarios in Land Change Modelling by Extending the Calibration Period and Integrating Demographic Data},
  author = {Romain Mejean and Martin Paegelow and Mehdi Saqalli and Doryan Kaced},
  year = {2019},
  doi = {10.1007/978-3-030-14745-7_14},
  url = {https://doi.org/10.1007/978-3-030-14745-7_14},
  researchr = {https://researchr.org/publication/MejeanPSK19},
  cites = {0},
  citedby = {0},
  pages = {243-260},
  booktitle = {Geospatial Technologies for Local and Regional Development - Proceedings of the 22nd AGILE Conference on Geographic Information Science, Limassol, Cyprus, June 17-20, 2019},
  editor = {Phaedon C. Kyriakidis and Diofantos G. Hadjimitsis and Dimitrios Skarlatos and Ali Mansourian},
  series = {Lecture Notes in Geoinformation and Cartography},
  publisher = {Springer},
  isbn = {978-3-030-14745-7},
}