LEADER 01481nam 2200373 450 001 9910633990103321 005 20230829170231.0 024 7 $a10.1145/3557918 035 $a(CKB)5690000000105363 035 $a(NjHacI)995690000000105363 035 $a(EXLCZ)995690000000105363 100 $a20230829d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery /$fDalton Lunga, Shawn Newsam 210 1$aNew York, New York :$cAssociation for Computing Machinery,$d2022. 215 $a1 online resource (101 pages) 225 0 $aACM Conferences 311 $a1-4503-9532-5 330 $aGeoAI'22 will offer a platform to discuss the latest trends, successes, grand challenges, and opportunities in the emerging field of geospatial artificial intelligence to provide actionable intelligence and power new geographic knowledge-informed scientific discoveries. 606 $aArtificial intelligence 615 0$aArtificial intelligence. 676 $a006.3 700 $aLunga$b Dalton$01410793 702 $aNewsam$b Shawn 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910633990103321 996 $aProceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery$93500243 997 $aUNINA