Muutke küpsiste eelistusi

E-raamat: Spatial Data Science

  • Formaat: 250 pages
  • Ilmumisaeg: 26-Nov-2024
  • Kirjastus: ESRI Press
  • Keel: eng
  • ISBN-13: 9781589486119
  • Formaat - EPUB+DRM
  • Hind: 79,55 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: 250 pages
  • Ilmumisaeg: 26-Nov-2024
  • Kirjastus: ESRI Press
  • Keel: eng
  • ISBN-13: 9781589486119

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from data science in their existing GIS platforms. By explaining how the spatial domain can provide many of the building blocks, it's critical for transforming data into information, knowledge, and solutions.



This book is for those using or studying GIS and the computer scientists, engineers, statisticians, and information and library scientists leading the development and deployment of data science.

Table of Contents

Introduction

Our Changing Planet

Role and Character of Geographic Information Science, Systems, and Services Today

Special Characteristics of Spatial Information

The Digital Era

The Opportunities Afforded by Spatial Data Science

Conclusions and Future Prospects

Dr. John P. Wilson



USC Professor and Founding Director



Spatial Sciences Institute



USC Dana and David Dornsife



College of Letters, Arts and Sciences





Professor, Departments of Civil & Environmental Engineering and Computer Science, Viterbi School of Engineering



Professor, Department of Population and Public Health Sciences, Keck School of Medicine of USC



Professor, Department of Sociology, Dornsife College of Letters, Arts and Sciences



Professor, USC School of Architecture









Editor, Transactions in GIS, Wiley-Blackwell



Editor, Geographic Information Science & Technology Body of Knowledge, University Consortium for Geographic Information Science



Fellow, University Consortium for Geographic Information Science (2014)



Fellow, American Association of Geographers (2021) -- John P Wilson