Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data
The amount of location data generated and models that are being developed is increasing quickly. Remote sensing provides exabytes of Earth observation data, sensor networks generate measurements with unprecedented velocity, social networks, autonomous cars, smart cities, and the Internet of Things (...
Otros Autores: | Cavallaro, Gabriele, author (author) |
---|---|
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
New York, New York :
Association for Computing Machinery
2021.
|
Colección: | ACM Conferences
|
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009714350006719 |
Ejemplares similares
Ejemplares similares
-
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
Publicado: (2018) -
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
Publicado: (2019) -
Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities
Publicado: (2017) -
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
Publicado: (2019) -
Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News
Publicado: (2017)