@InProceedings{jonietz_et_al:LIPIcs.COSIT.2019.27,
  author =	{Jonietz, David and Kopp, Michael},
  title =	{{Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs)}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{27:1--27:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Timpf, Sabine and Schlieder, Christoph and Kattenbeck, Markus and Ludwig, Bernd and Stewart, Kathleen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.27},
  URN =		{urn:nbn:de:0030-drops-111193},
  doi =		{10.4230/LIPIcs.COSIT.2019.27},
  annote =	{Keywords: GAN, generative modeling, deep learning, geosimulation, game of life}
}