LEADER 00787nam0 2200277 4500 001 9910159251303321 005 20170131103239.0 100 $a20170131d2015----km y0itay50 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $aDiritto del lavoro$fEdoardo Ghera, Alessandro Garilli, Domenico Garofalo 205 $a2. ed. 210 $aTorino$cGiappichelli editore$d2015 215 $aXVI, 601 p.$d24 cm 610 0 $aDiritto del lavoro 676 $a344.4501$v22 700 1$aGhera,$bEdoardo$0147482 701 1$aGarilli,$bAlessandro$0246228 701 1$aGarofalo,$bDomenico$0319046 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910159251303321 952 $aA-I-154$fDDRC 996 $aDiritto del lavoro$9826388 997 $aUNINA LEADER 03089nam 2200457 450 001 9910375692003321 005 20230825093631.0 035 $a(CKB)4100000007597606 035 $a(NjHacI)994100000007597606 035 $a(EXLCZ)994100000007597606 100 $a20230825d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aGeoHumanities 2018 $eproceedings of the 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities (GeoHumanities-2018) : Nov 6th, 2018, Seattle, Washington, USA /$feditors, Patricia Murrieta-Flores, Bruno Martins ; Association for Computing Machinery-Digital Library, contributor 210 1$aNew York NY :$cACM,$d2018. 215 $a1 online resource (38 pages) $cillustrations 225 1 $aACM international conference proceedings series 311 $a1-4503-6032-7 330 $aScholars in the humanities have long paid attention to spatial theory and cartographic outputs. Moreover, in recent years, new technologies and methods have lead to the emergence of a field that is now commonly known as the Spatial Humanities. Methods from the standard toolset of geographic information systems (e.g., computation of viewsheds and zones of influence, least-cost path analysis, mass-preserving areal weighting and dasymetric mapping, terrain classification according to land coverage or land use, different types of thematic cartography techniques, etc.) have been successfully employed to analyze the geographies of human cultures, both past and present, and to address research questions posed by humanities-based fields. However, many challenges persist in the application of more recent technical developments in the geographical information sciences, which have been showcased in venues such as ACM SIGSPATIAL (e.g., high performance computing methods for analyzing increasingly larger datasets, intelligent techniques based on machine learning for developing and tuning models making use of multiple sources of auxiliary data, the usage of volunteered geographical information to complement traditional data sources, or methods from the geo- spatial semantic web to ease interoperability across datasets and services). 410 0$aACM international conference proceedings series. 606 $aDigital humanities$vCongresses 606 $aGeographic information systems$xSocial aspects$vCongresses 606 $aHuman geography$xData processing$vCongresses 606 $aMachine learning$xSocial aspects$vCongresses 615 0$aDigital humanities 615 0$aGeographic information systems$xSocial aspects 615 0$aHuman geography$xData processing 615 0$aMachine learning$xSocial aspects 676 $a001.302854 702 $aMurrieta-Flores$b Patricia 702 $aMartins$b Bruno 712 02$aAssociation for Computing Machinery-Digital Library, 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910375692003321 996 $aGeoHumanities 2018$93474519 997 $aUNINA