MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03418nam a22002777a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240103s2023 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781138311183 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| ISSN-L |
9781138311183 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.53502855133 |
| Item number |
PEB |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pebesma, Edzer |
| 9 (RLIN) |
879320 |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Spatial Data Science with Applications in R |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boca Raton, Fl : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
c2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 300 p. |
| Other physical details |
: ill |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Chapman and Hall/CRC the R Series |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Biography<br/><br/>Edzer Pebesma is professor at the Institute for Geoinformatics of the University of Muenster, Germany, where he leads the spatiotemporal modelling lab. He co-initiated openEO, an open source software ecosystem around a language neutral API for analyzing very large data cubes and image collections.<br/><br/>Roger Bivand is a geographer, emeritus professor of the Department of Economics of the Norwegian School of Economics, Bergen, Norway, has worked with spatial autocorrelation since the 1970’s, and is a Fellow of the Spatial Econometrics Association.<br/><br/>Edzer and Roger have actively interacted with the open source geospatial user and developer communities since the last century. They author and maintain a number of key R packages for the handling and analysis of spatial and spatiotemporal data, including sf, stars, s2, sp, and gstat, spdep, spatialreg and rgrass. Both are ordinary members of the R foundation. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes Bibliographical References and Index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
SUMMARY<br/><br/>patial 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.<br/><br/>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/. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
152545 |
| Topical term or geographic name entry element |
R Computer Program Language |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
879562 |
| Topical term or geographic name entry element |
Spatial Analysis Statistics Data Processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Relator term |
author |
| Personal name |
Bivand, Roger |
| 9 (RLIN) |
879563 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
WEB LINK |
| Uniform Resource Identifier |
<a href="https://www.routledge.com/Spatial-Data-Science-With-Applications-in-R/Pebesma-Bivand/p/book/9781138311183#">https://www.routledge.com/Spatial-Data-Science-With-Applications-in-R/Pebesma-Bivand/p/book/9781138311183#</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
TOC |
| Uniform Resource Identifier |
<a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781138311183.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781138311183.pdf</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
