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010   $a3-031-88130-3
024 7 $a10.1007/978-3-031-88130-5
035   $a(CKB)38858987100041
035   $a(MiAaPQ)EBC32125221
035   $a(Au-PeEL)EBL32125221
035   $a(DE-He213)978-3-031-88130-5
035   $a(OCoLC)1520499313
035   $a(EXLCZ)9938858987100041
100   $a20250516d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCultural Data Science $eAn Introduction to R /$fby Harald Klinke
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (159 pages)
225 1 $aQuantitative Methods in the Humanities and Social Sciences,$x2199-0964
311 08$a3-031-88129-X 
327   $aChapter 1 Introduction -- Chapter 2 Setting up R -- Chapter 3 First Steps -- Chapter 4 First Data -- Chapter 5 Exploring Data -- Chapter 6 Compare data -- Chapter 7 Case Study 1: Picasso from creation to acquisition -- Chapter 8 Subdividing and combining data sets -- Chapter 9 Case Study 2: Photography Aspect Ratios -- Chapter 10 Case Study 3: Overview of the MNBAQ Dataset -- Chapter 11 Stacked bar plot -- Chapter 12 Working with Images -- Chapter 13 Case Study: Image plot -- Chapter 14 Dimensions -- Chapter 15 Network Visualizations -- Chapter 16 Image Analysis -- Chapter 17 Cloud Computing -- Chapter 18 Epilogue: The Future of Cultural Data Science.
330   $aThis book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum. Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience.
410  0$aQuantitative Methods in the Humanities and Social Sciences,$x2199-0964
606   $aQuantitative research
606   $aInformation visualization
606   $aArt$xHistory
606   $aData Analysis and Big Data
606   $aData and Information Visualization
606   $aArt History
615  0$aQuantitative research.
615  0$aInformation visualization.
615  0$aArt$xHistory.
615 14$aData Analysis and Big Data.
615 24$aData and Information Visualization.
615 24$aArt History.
676   $a001.422
676   $a005.7
700   $aKlinke$b Harald$01820617
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911003694403321
996   $aCultural Data Science$94382900
997   $aUNINA