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100   $a20230825d2018      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aProceedings of the 1st ACM SIGSPATIAL International Workshop on GeoSpatial Simulation /$fedited by Hamdi Kavak, Joon-Seok Kim, Umar Manzoor ; Association for Computing Machinery-Digital Library, contributor
210  1$aNew York NY :$cACM,$d2018.
215   $a1 online resource (14 pages)
311   $a1-4503-6043-2 
330   $aGeospatial simulation is a powerful tool for many disciplines to understand, explain, and predict overly complex natural and human-made systems. With the advances in computing and software technology, simulation is becoming a commonly accessible solution. The spatial information community has a huge potential to contribute and get benefited from the geospatial simulation as it provides many research avenues including creating methods for the ingestion of spatial data, studying domain-specific problems, and using simulation-generated spatial data. Especially, simulation-generated data provides many advantages over publicly available data sets that are too small to allow reliable inference, too noisy to find the signal of patterns or deliberately altered to preserve privacy.
606   $aGeodatabases
615  0$aGeodatabases.
676   $a910
702   $aManzoor$b Umar
702   $aKim$b Joon-Seok
702   $aKavak$b Hamdi
712 02$aAssociation for Computing Machinery-Digital Library,
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910375678703321
996   $aProceedings of the 1st ACM SIGSPATIAL International Workshop on GeoSpatial Simulation$92028229
997   $aUNINA