|
|
|
|
LEADER |
02513nmm a2200589 u 4500 |
001 |
EB002207311 |
003 |
EBX01000000000000001344512 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
240503 ||| eng |
020 |
|
|
|a 1003814956
|
020 |
|
|
|a 1003814921
|
020 |
|
|
|a 9781003814955
|
020 |
|
|
|a 1003308422
|
020 |
|
|
|a 9781003308423
|
020 |
|
|
|a 9781003814924
|
050 |
|
4 |
|a G70.217.G46
|
100 |
1 |
|
|a Gao, Song
|e editor
|
245 |
0 |
0 |
|a Handbook of geospatial artificial intelligence
|c edited by Song Gao, Yingjie Hu, and Wenwen Li
|
246 |
3 |
1 |
|a Geospatial AI
|
246 |
3 |
1 |
|a Geospatial artificial intelligence
|
250 |
|
|
|a First edition
|
260 |
|
|
|a Boca Raton, FL
|b CRC Press
|c 2024
|
300 |
|
|
|a xx, 448 pages
|
505 |
0 |
|
|a Includes bibliographical references and index
|
653 |
|
|
|a Geospatial data / fast
|
653 |
|
|
|a COMPUTERS / Computer Science / bisacsh
|
653 |
|
|
|a Artificial intelligence / fast
|
653 |
|
|
|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
|
653 |
|
|
|a Geospatial data / http://id.loc.gov/authorities/subjects/sh2006006177
|
653 |
|
|
|a SCIENCE / Earth Sciences / Geography / bisacsh
|
653 |
|
|
|a Intelligence artificielle
|
653 |
|
|
|a Données géospatiales
|
653 |
|
|
|a TECHNOLOGY / Remote Sensing / bisacsh
|
653 |
|
|
|a artificial intelligence / aat
|
700 |
1 |
|
|a Hu, Yingjie
|e editor
|
700 |
1 |
|
|a Li, Wenwen
|e editor
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b OREILLY
|a O'Reilly
|
024 |
8 |
|
|a 10.1201/9781003308423
|
776 |
|
|
|z 9781032311678
|
776 |
|
|
|z 1003308422
|
776 |
|
|
|z 9781003814955
|
776 |
|
|
|z 1003814956
|
776 |
|
|
|z 1003814921
|
776 |
|
|
|z 9781032311661
|
776 |
|
|
|z 9781003308423
|
776 |
|
|
|z 9781003814924
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781003814955/?ar
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 500
|
082 |
0 |
|
|a 910.285/63
|
520 |
|
|
|a "This comprehensive handbook covers Geospatial Artificial intelligence (GeoAI) which is the integration of geospatial studies and AI using deep learning and knowledge graph technologies. It explains fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, it is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI"--
|