Graph theory applications for advanced geospatial modelling and decision-making
Geospatial sciences (GS) include a wide range of applications, from environmental monitoring to infrastructure development, as well as location-based analysis and services. Notably, graph theory algorithms have emerged as indispensable tools in GS because of their capability to model and analyse spa...
| Autores principales: | , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/158366 |
Ejemplares similares: Graph theory applications for advanced geospatial modelling and decision-making
- Graph Theory Applications in Advanced Geospatial Research
- The Geospatial data quality and metadata: Handbook
- Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
- Determinants of spatial diversity in modern wheat: examples from Australia and China
- Land cover classification and change detection analysis using LandSat series and geospatial datasets in Nepal from 1980 to 2010
- Facilitating Conservation Agriculture in Namibia through understanding farmers’ planned behaviour and decision making