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An Introduction to R for Spatial Analysis and Mapping
Buch von Chris Brunsdon
Sprache: Englisch

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Beschreibung
This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.
This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.
Über den Autor

Chris Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at the National University of Ireland, Maynooth, having worked previously in the Universities of Newcastle, Glamorgan, Leicester and Liverpool, variously in departments focusing on both geography and computing. He has interests that span both of these disciplines, including spatial statistics, geographical information science, and exploratory spatial data analysis, and in particular the application of these ideas to crime pattern analysis, the modelling of house prices, medical and health geography and the analysis of land use data. He was one of the originators of the technique of geographically weighted regression (GWR).

He has extensive experience of programming in R, going back to the late 1990s, and has developed a number of R packages which are currently available on CRAN, the Comprehensive R Archive Network. He is an advocate of free and open source software, and in particular the use of reproducible research methods, and has contributed to a large number of workshops on the use of R and of GWR in a number of countries, including the UK, Ireland, Japan, Canada, the USA, the Czech Republic and Australia.

When not involved in academic work he enjoys running, collecting clocks and watches, and cooking - the last of these probably cancelling out the benefits of the first.

Inhaltsverzeichnis
Chapter 1 Introduction
Chapter 2 Data and Plots
Chapter 3 Handling Spatial Data
Chapter 4 Programming in R
Chapter 5 Using R as a GIS
Chapter 6 Point Pattern Analysis
Chapter 7 Spatial Attribute Analysis
Chapter 8 Localised Spatial Analysis
Chapter 9 R and Internet Data
Chapter 10 Epilogue
Details
Erscheinungsjahr: 2018
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Buch
Seiten: 336
Reihe: Spatial Analytics and GIS
Inhalt: Gebunden
ISBN-13: 9781526428509
ISBN-10: 1526428504
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Brunsdon, Chris
Comber, Lex
Redaktion: Brunsdon, Chris
Hersteller: SAGE LTD
Spatial Analytics and GIS
Maße: 250 x 175 x 23 mm
Von/Mit: Chris Brunsdon
Erscheinungsdatum: 10.12.2018
Gewicht: 0,762 kg
preigu-id: 114194398
Über den Autor

Chris Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at the National University of Ireland, Maynooth, having worked previously in the Universities of Newcastle, Glamorgan, Leicester and Liverpool, variously in departments focusing on both geography and computing. He has interests that span both of these disciplines, including spatial statistics, geographical information science, and exploratory spatial data analysis, and in particular the application of these ideas to crime pattern analysis, the modelling of house prices, medical and health geography and the analysis of land use data. He was one of the originators of the technique of geographically weighted regression (GWR).

He has extensive experience of programming in R, going back to the late 1990s, and has developed a number of R packages which are currently available on CRAN, the Comprehensive R Archive Network. He is an advocate of free and open source software, and in particular the use of reproducible research methods, and has contributed to a large number of workshops on the use of R and of GWR in a number of countries, including the UK, Ireland, Japan, Canada, the USA, the Czech Republic and Australia.

When not involved in academic work he enjoys running, collecting clocks and watches, and cooking - the last of these probably cancelling out the benefits of the first.

Inhaltsverzeichnis
Chapter 1 Introduction
Chapter 2 Data and Plots
Chapter 3 Handling Spatial Data
Chapter 4 Programming in R
Chapter 5 Using R as a GIS
Chapter 6 Point Pattern Analysis
Chapter 7 Spatial Attribute Analysis
Chapter 8 Localised Spatial Analysis
Chapter 9 R and Internet Data
Chapter 10 Epilogue
Details
Erscheinungsjahr: 2018
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Buch
Seiten: 336
Reihe: Spatial Analytics and GIS
Inhalt: Gebunden
ISBN-13: 9781526428509
ISBN-10: 1526428504
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Brunsdon, Chris
Comber, Lex
Redaktion: Brunsdon, Chris
Hersteller: SAGE LTD
Spatial Analytics and GIS
Maße: 250 x 175 x 23 mm
Von/Mit: Chris Brunsdon
Erscheinungsdatum: 10.12.2018
Gewicht: 0,762 kg
preigu-id: 114194398
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