QGIS A Free and Open Source Geographic Information System. QGIS is an Open Source Geographic Information System. The project was born in May of 2002 and was established as a project on SourceForge in June of the same year. We’ve worked hard to make GIS software (which is traditionally expensive proprietary software) a viable prospect for anyone with basic access to a personal computer. QGIS currently runs on most Unix platforms, Windows, and macOS. QGIS is developed using the Qt toolkit (https://www.qt.io) and C++. This means that QGIS feels snappy and has a pleasing, easy-to-use graphical user interface (GUI). QGIS aims to be a user-friendly GIS, providing common functions and features. The initial goal of the project was to provide a GIS data viewer. QGIS has reached the point in its evolution where it is being used by many for their daily GIS data-viewing needs. QGIS supports a number of raster and vector data formats, with new format support easily added using the plugin architecture.

References in zbMATH (referenced in 25 articles )

Showing results 1 to 20 of 25.
Sorted by year (citations)

1 2 next

  1. Custodio, Janiele E. S. C.; Lejeune, Miguel A.: Spatiotemporal data set for out-of-hospital cardiac arrests (2022)
  2. Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
  3. Tarn Duong: Statistical visualisation for tidy and geospatial data in R via kernel smoothing methods in the eks package (2022) arXiv
  4. Ackley, Matthew; Stechlinski, Peter: Determining key parameters in riots using lexicographic directional differentiation (2021)
  5. Changjie Chen, Jasmeet Judge, David Hulse: PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis (2021) arXiv
  6. Cruz-García, S.; Martínez-Farías, F.; Santillán-Hernández, A. S.; Rangel, E.: Mathematical home burglary model with stochastic long crime trips and patrolling: applied to Mexico City (2021)
  7. David Montero: eemont: A Python package that extends Google Earth Engine (2021) not zbMATH
  8. 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
  9. Feng, Michelle; Porter, Mason A.: Persistent homology of geospatial data: a case study with voting (2021)
  10. Narayanarao Bhogapurapu, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao: PolSAR tools: A QGIS plugin for generating SAR descriptors (2021) not zbMATH
  11. Raim, Andrew M.; Holan, Scott H.; Bradley, Jonathan R.; Wikle, Christopher K.: Spatio-temporal change of support modeling with \textttR (2021)
  12. Ehsan Farahbakhsh, Ardeshir Hezarkhani, Taymour Eslamkish, Abbas Bahroudi, Rohitash Chandra: 3DWofE: An open-source software package for three-dimensional weights of evidence modeling (2020) not zbMATH
  13. Pérez-López, José-Benito; Novales, Margarita; Varela-García, Francisco-Alberto; Orro, Alfonso: Residential location econometric choice modeling with irregular zoning: common border spatial correlation metric (2020)
  14. Stefanie Wiegand: BigX: A geographical dataset visualisation tool (2020) not zbMATH
  15. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  16. Bucarey, Victor; Labbé, Martine: Discussion of fairness and implementability in Stackelberg security games (2019)
  17. Diggle, Peter J.; Giorgi, Emanuele: Model-based geostatistics for global public health. Methods and applications (2019)
  18. Jon Hill: HRDS: A Python package for hierarchical raster datasets (2019) not zbMATH
  19. Martin Fleischmann: momepy: Urban Morphology Measuring Toolkit (2019) not zbMATH
  20. M. Riechert; D. Meyer: WRF-CMake: integrating CMake support into the Advanced Research WRF (ARW) modelling system (2019) not zbMATH

1 2 next