OpenStreetMap

OpenStreetMap is a free, editable map of the whole world that is being built by volunteers largely from scratch and released with an open-content license. The OpenStreetMap License allows free (or almost free) access to our map images and all of our underlying map data. The project aims to promote new and interesting uses of this data. See ”Why OpenStreetMap?” for more details about why we want an open-content map and for the answer to the question we hear most frequently: Why not just use Google maps?


References in zbMATH (referenced in 78 articles )

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  1. Gagliardi, Davide; Russo, Giovanni: On a probabilistic approach to synthesize control policies from example datasets (2022)
  2. Ridler, Samuel; Mason, Andrew J.; Raith, Andrea: A simulation and optimisation package for emergency medical services (2022)
  3. Ackley, Matthew; Stechlinski, Peter: Determining key parameters in riots using lexicographic directional differentiation (2021)
  4. Behrend, Moritz; Meisel, Frank; Fagerholt, Kjetil; Andersson, Henrik: A multi-period analysis of the integrated item-sharing and crowdshipping problem (2021)
  5. Büsing, Christina; Comis, Martin; Schmidt, Eva; Streicher, Manuel: Robust strategic planning for mobile medical units with steerable and unsteerable demands (2021)
  6. Cai, T. Tony; Wei, Hongji: Transfer learning for nonparametric classification: minimax rate and adaptive classifier (2021)
  7. Chen, Bohan; Peng, Kaiyan; Parkinson, Christian; Bertozzi, Andrea L.; Slough, Tara Lyn; Urpelainen, Johannes: Modeling illegal logging in Brazil (2021)
  8. Curado, Manuel; Tortosa, Leandro; Vicent, Jose F.: Identifying mobility patterns by means of centrality algorithms in multiplex networks (2021)
  9. Erwan Bocher, Jérémy Bernard, Elisabeth Le Saux Wiederhold, François Leconte, Gwendall Petit, Sylvain Palominos, Camille Noûs: GeoClimate: a Geospatial processing toolbox for environmental and climate studies (2021) not zbMATH
  10. Fikar, Christian; Mild, Andreas; Waitz, Martin: Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveries (2021)
  11. Hugo Ledoux, Filip Biljecki, Balázs Dukai, Kavisha Kumar, Ravi Peters, Jantien Stoter, Tom Commandeur: 3dfier: automatic reconstruction of 3D city models (2021) not zbMATH
  12. Ignatiev, V. Yu.; Matveev, I. A.; Murynin, A. B.; Usmanova, A. A.; Tsurkov, V. I.: Increasing the spatial resolution of panchromatic satellite images based on generative neural networks (2021)
  13. Liuzzi, G.; Locatelli, M.; Piccialli, V.; Rass, S.: Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems (2021)
  14. Reisinger, Stefan; Adelberger, Daniel; del Re, Luigi: A two-layer switching based trajectory prediction method (2021)
  15. Tresoldi, Emanuele; Malucelli, Federico; Nonato, Maddalena: A personalized walking bus service requiring optimized route decisions: a real case (2021)
  16. Ushijima-Mwesigwa, Hayato; Khan, MD Zadid; Chowdhury, Mashrur A.; Safro, Ilya: Optimal placement of wireless charging lanes in road networks (2021)
  17. Yano, Keisuke; Kaneko, Ryoya; Komaki, Fumiyasu: Minimax predictive density for sparse count data (2021)
  18. Adam Pluta; Ontje Lunsdorf: esy-osmfilter - A Python Library to Efficiently Extract OpenStreetMap Data (2020) not zbMATH
  19. Audrito, Giorgio; Beal, Jacob; Damiani, Ferruccio; Pianini, Danilo; Viroli, Mirko: Field-based coordination with the share operator (2020)
  20. Baum, Moritz; Dibbelt, Julian; Pajor, Thomas; Sauer, Jonas; Wagner, Dorothea; Zündorf, Tobias: Energy-optimal routes for battery electric vehicles (2020)

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