1.

Record Nr.

UNINA9910299302703321

Titolo

Geo-Spatial Knowledge and Intelligence : 5th International Conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, Revised Selected Papers, Part I / / edited by Hanning Yuan, Jing Geng, Chuanlu Liu, Fuling Bian, Tisinee Surapunt

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018

ISBN

981-13-0893-4

978-981-13-0893-2

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XLI, 676 p. 328 illus.)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 848

Disciplina

006.3

Soggetti

Artificial intelligence

Computer networks

Data protection

Artificial Intelligence

Computer Communication Networks

Data and Information Security

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Smart city in resource management and sustainable ecosystem -- Spatial data acquisition through RS and GIS in resource management and sustainable ecosystem -- Ecological and environmental data processing and management -- Advanced geospatial model and analysis for understanding ecological and environmental process -- Applications of geo-informatics in resource management and sustainable ecosystem.

Sommario/riassunto

This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial Knowledge and Intelligence, GSKI 2017, held in Chiang Mai, Thailand, in December 2018. The 142 full papers presented were carefully reviewed and selected from 579 submissions. They are organized in topical sections on smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS



in resource management and sustainable ecosystem; ecological and environmental data processing and management; advanced geospatial model and analysis for understanding ecological and environmental process; applications of geo-informatics in resource management and sustainable ecosystem.