Spatial Data Science : With Applications in R

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Spatial Data Science : With Applications in R
Περιγραφή: Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its consequences for analysis, and how attributes of geometries can relate to geometries. In the second part of the book, these concepts are illustrated with data science examples using the R language. In the third part, statistical modelling approaches are demonstrated using real world data examples. After reading this book, the reader will be well equipped to avoid a number of major spatial data analysis errors.The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes – array data with spatial and temporal dimensions. It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what sf and stars use when coordinates are not projected (degrees longitude/latitude). Separate chapters detail a variety of plotting approaches for spatial maps using R, and different ways of handling very large vector or raster (imagery) datasets, locally, in databases, or in the cloud. The data used and all code examples are freely available online from https://r-spatial.org/book/. The solutions to the exercises can be found here: https://edzer.github.io/sdsr_exercises/.
Συγγραφείς: Edzer Pebesma, Roger Bivand
Resource Type: eBook.
Θέματα: R (Computer program language), Spatial analysis (Statistics)--Data processing
Categories: TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems, COMPUTERS / Programming / General, MATHEMATICS / Probability & Statistics / General
Βάση Δεδομένων: eBook Index
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  Availability: 0
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DbLabel: eBook Index
An: 3585103
RelevancyScore: 969
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 968.509704589844
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  Data: Spatial Data Science : With Applications in R
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  Data: Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its consequences for analysis, and how attributes of geometries can relate to geometries. In the second part of the book, these concepts are illustrated with data science examples using the R language. In the third part, statistical modelling approaches are demonstrated using real world data examples. After reading this book, the reader will be well equipped to avoid a number of major spatial data analysis errors.The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes – array data with spatial and temporal dimensions. It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what sf and stars use when coordinates are not projected (degrees longitude/latitude). Separate chapters detail a variety of plotting approaches for spatial maps using R, and different ways of handling very large vector or raster (imagery) datasets, locally, in databases, or in the cloud. The data used and all code examples are freely available online from https://r-spatial.org/book/. The solutions to the exercises can be found here: https://edzer.github.io/sdsr_exercises/.
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      – Code: 519.53502855133
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Spatial analysis (Statistics)--Data processing
        Type: general
    Titles:
      – TitleFull: Spatial Data Science : With Applications in R
        Type: main
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            NameFull: Edzer Pebesma
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            NameFull: Edzer Pebesma
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 21
              M: 09
              Type: profile
              Y: 2023
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            – Type: isbn-print
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              Value: 9781138311183
            – Type: isbn-print
              Value: 9781041325970
            – Type: isbn-electronic
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            – TitleFull: Spatial Data Science : With Applications in R
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