Applied spatial statistics and econometrics: data analysis in R
<P><STRONG>Introduction</STRONG></P><P><STRONG>Statement by the American Statistical Association on statistical significance and p-value used in the book</STRONG></P><P><STRONG>Acknowledgments</STRONG></P><P>Chapter 1: Bas...
Gespeichert in:
Format: | Elektronisch E-Book |
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Sprache: | English |
Veröffentlicht: |
London and New York
Routledge, Taylor & Francis Group
2021
|
Schriftenreihe: | Routledge advanced texts in economics and finance
|
Schlagworte: | |
Online-Zugang: | FUBA1 UPA01 Volltext |
Zusammenfassung: | <P><STRONG>Introduction</STRONG></P><P><STRONG>Statement by the American Statistical Association on statistical significance and p-value used in the book</STRONG></P><P><STRONG>Acknowledgments</STRONG></P><P>Chapter 1: Basic operations in the R software <STRONG>(Mateusz Kopyt)<BR></STRONG>1.1 About the R software<BR>1.2. The R software interface<BR>1.2.1 R Commander<BR>1.2.2. RStudio<BR>1.3 Using help<BR>1.4 Additional packages<BR>1.5 R Language -- basic features<BR>1.6 Defining and loading data<BR>1.7 Basic operations on objects<BR>1.8 Basic statistics of the data set<BR>1.9 Basic visualizations<BR>1.9.1 Scatterplot and line chart<BR>1.9.2 Column chart<BR>1.9.3 Pie chart<BR>1.9.4 Boxplot<BR>1.10 Regression in examples</P><P>Chapter 2: Spatial data, R classes and basic graphics <STRONG>(Katarzyna Kopczewska)</STRONG><BR>2.1 Loading and basic operations on spatial vector data<BR>2.2. Creating, checking and converting spatial classes<BR>2.3 Selected color palettes<BR>2.4 Basic contour maps with a color layer<BR>Scheme 1 -- with colorRampPalette() from the grDevices:: package<BR>Scheme 2 -- with choropleth() from the GISTools:: package<BR>Scheme 3 -- with findInterval() from the base:: package<BR>Scheme 4 -- with findColours() from the classInt:: package<BR>Scheme 5 -- with spplot() from the sp:: package<BR>2.5 Basic operations and graphs for point data<BR>Scheme 1 -- with points() from the graphics:: package -- locations only<BR>Scheme 2 -- with spplot() from the sp:: package -- locations and values<BR>Scheme 3 -- with findInterval() from the base:: package -- locations, values, different size of symbols<BR>2.6 Basic operations on rasters<BR>2.7 Basic operations on grids<BR>2.8 Spatial geometries</P><P>Chapter 3: Spatial data from the Web API <STRONG>(Mateusz Kopyt, Katarzyna Kopczewska)</STRONG><BR>3.1 What is the API?<BR>3.2. Creating contextual maps with use of API<BR>3.3 Ways to visualize spatial data -- maps for point and regional data<BR>Scheme 1 -- with bubbleMap() from the RgoogleMaps:: package<BR>Scheme 2 -- with ggmap() from the ggmap:: package<BR>Scheme 3 -- with PlotOnStaticMap() from the RgoogleMap:: package<BR>Scheme 4 -- with RGoogleMaps:: GetMap() and conversion of staticMap into a raster<BR>3.4 Spatial data in vector format -- example of the OSM database<BR>3.5 Access to non-spatial internet databases and resources via API -- |
Beschreibung: | 1 Online-Ressource (xxv, 593 Seiten) Illustrationen |
ISBN: | 9781003033219 1003033210 9781000079784 1000079783 9781000079760 1000079767 9781000079746 1000079740 |
DOI: | 10.4324/9781003033219 |
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520 | 3 | |a <P><STRONG>Introduction</STRONG></P><P><STRONG>Statement by the American Statistical Association on statistical significance and p-value used in the book</STRONG></P><P><STRONG>Acknowledgments</STRONG></P><P>Chapter 1: Basic operations in the R software <STRONG>(Mateusz Kopyt)<BR></STRONG>1.1 About the R software<BR>1.2. The R software interface<BR>1.2.1 R Commander<BR>1.2.2. RStudio<BR>1.3 Using help<BR>1.4 Additional packages<BR>1.5 R Language -- | |
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520 | 3 | |a locations only<BR>Scheme 2 -- with spplot() from the sp:: package -- locations and values<BR>Scheme 3 -- with findInterval() from the base:: package -- locations, values, different size of symbols<BR>2.6 Basic operations on rasters<BR>2.7 Basic operations on grids<BR>2.8 Spatial geometries</P><P>Chapter 3: Spatial data from the Web API <STRONG>(Mateusz Kopyt, Katarzyna Kopczewska)</STRONG><BR>3.1 What is the API?<BR>3.2. Creating contextual maps with use of API<BR>3.3 Ways to visualize spatial data -- maps for point and regional data<BR>Scheme 1 -- with bubbleMap() from the RgoogleMaps:: package<BR>Scheme 2 -- with ggmap() from the ggmap:: package<BR>Scheme 3 -- with PlotOnStaticMap() from the RgoogleMap:: package<BR>Scheme 4 -- with RGoogleMaps:: GetMap() and conversion of staticMap into a raster<BR>3.4 Spatial data in vector format -- example of the OSM database<BR>3.5 Access to non-spatial internet databases and resources via API -- | |
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Datensatz im Suchindex
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discipline | Mathematik Wirtschaftswissenschaften |
discipline_str_mv | Mathematik Wirtschaftswissenschaften |
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id | DE-604.BV048256917 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:58:46Z |
indexdate | 2024-07-10T09:33:18Z |
institution | BVB |
isbn | 9781003033219 1003033210 9781000079784 1000079783 9781000079760 1000079767 9781000079746 1000079740 |
language | English |
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physical | 1 Online-Ressource (xxv, 593 Seiten) Illustrationen |
psigel | ZDB-7-TFC ZDB-7-CSC ZDB-7-CSC UPA_PDA_CSC_Kauf2022 |
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record_format | marc |
series2 | Routledge advanced texts in economics and finance |
spelling | Applied spatial statistics and econometrics data analysis in R Katarzyna Kopczewska London and New York Routledge, Taylor & Francis Group 2021 1 Online-Ressource (xxv, 593 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Routledge advanced texts in economics and finance <P><STRONG>Introduction</STRONG></P><P><STRONG>Statement by the American Statistical Association on statistical significance and p-value used in the book</STRONG></P><P><STRONG>Acknowledgments</STRONG></P><P>Chapter 1: Basic operations in the R software <STRONG>(Mateusz Kopyt)<BR></STRONG>1.1 About the R software<BR>1.2. The R software interface<BR>1.2.1 R Commander<BR>1.2.2. RStudio<BR>1.3 Using help<BR>1.4 Additional packages<BR>1.5 R Language -- basic features<BR>1.6 Defining and loading data<BR>1.7 Basic operations on objects<BR>1.8 Basic statistics of the data set<BR>1.9 Basic visualizations<BR>1.9.1 Scatterplot and line chart<BR>1.9.2 Column chart<BR>1.9.3 Pie chart<BR>1.9.4 Boxplot<BR>1.10 Regression in examples</P><P>Chapter 2: Spatial data, R classes and basic graphics <STRONG>(Katarzyna Kopczewska)</STRONG><BR>2.1 Loading and basic operations on spatial vector data<BR>2.2. Creating, checking and converting spatial classes<BR>2.3 Selected color palettes<BR>2.4 Basic contour maps with a color layer<BR>Scheme 1 -- with colorRampPalette() from the grDevices:: package<BR>Scheme 2 -- with choropleth() from the GISTools:: package<BR>Scheme 3 -- with findInterval() from the base:: package<BR>Scheme 4 -- with findColours() from the classInt:: package<BR>Scheme 5 -- with spplot() from the sp:: package<BR>2.5 Basic operations and graphs for point data<BR>Scheme 1 -- with points() from the graphics:: package -- locations only<BR>Scheme 2 -- with spplot() from the sp:: package -- locations and values<BR>Scheme 3 -- with findInterval() from the base:: package -- locations, values, different size of symbols<BR>2.6 Basic operations on rasters<BR>2.7 Basic operations on grids<BR>2.8 Spatial geometries</P><P>Chapter 3: Spatial data from the Web API <STRONG>(Mateusz Kopyt, Katarzyna Kopczewska)</STRONG><BR>3.1 What is the API?<BR>3.2. Creating contextual maps with use of API<BR>3.3 Ways to visualize spatial data -- maps for point and regional data<BR>Scheme 1 -- with bubbleMap() from the RgoogleMaps:: package<BR>Scheme 2 -- with ggmap() from the ggmap:: package<BR>Scheme 3 -- with PlotOnStaticMap() from the RgoogleMap:: package<BR>Scheme 4 -- with RGoogleMaps:: GetMap() and conversion of staticMap into a raster<BR>3.4 Spatial data in vector format -- example of the OSM database<BR>3.5 Access to non-spatial internet databases and resources via API -- Ökonometrie (DE-588)4132280-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Räumliche Statistik (DE-588)4386767-4 gnd rswk-swf Spatial analysis (Statistics) Econometrics R (Computer program language) BUSINESS & ECONOMICS / Econometrics ; bisacsh BUSINESS & ECONOMICS / Economics / General ; bisacsh COMPUTERS / Mathematical & Statistical Software ; bisacsh Electronic books BUSINESS & ECONOMICS / Econometrics BUSINESS & ECONOMICS / Economics / General COMPUTERS / Mathematical & Statistical Software (DE-588)4123623-3 Lehrbuch gnd-content Räumliche Statistik (DE-588)4386767-4 s Ökonometrie (DE-588)4132280-0 s R Programm (DE-588)4705956-4 s DE-604 Kopczewska, Katarzyna Sonstige (DE-588)1142159701 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-367-47077-7 (DE-604)BV047071119 Erscheint auch als Druck-Ausgabe, Paperback 978-0-367-47076-0 (DE-604)BV047071119 https://doi.org/10.4324/9781003033219 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Applied spatial statistics and econometrics data analysis in R Ökonometrie (DE-588)4132280-0 gnd R Programm (DE-588)4705956-4 gnd Räumliche Statistik (DE-588)4386767-4 gnd |
subject_GND | (DE-588)4132280-0 (DE-588)4705956-4 (DE-588)4386767-4 (DE-588)4123623-3 |
title | Applied spatial statistics and econometrics data analysis in R |
title_auth | Applied spatial statistics and econometrics data analysis in R |
title_exact_search | Applied spatial statistics and econometrics data analysis in R |
title_exact_search_txtP | Applied spatial statistics and econometrics data analysis in R |
title_full | Applied spatial statistics and econometrics data analysis in R Katarzyna Kopczewska |
title_fullStr | Applied spatial statistics and econometrics data analysis in R Katarzyna Kopczewska |
title_full_unstemmed | Applied spatial statistics and econometrics data analysis in R Katarzyna Kopczewska |
title_short | Applied spatial statistics and econometrics |
title_sort | applied spatial statistics and econometrics data analysis in r |
title_sub | data analysis in R |
topic | Ökonometrie (DE-588)4132280-0 gnd R Programm (DE-588)4705956-4 gnd Räumliche Statistik (DE-588)4386767-4 gnd |
topic_facet | Ökonometrie R Programm Räumliche Statistik Lehrbuch |
url | https://doi.org/10.4324/9781003033219 |
work_keys_str_mv | AT kopczewskakatarzyna appliedspatialstatisticsandeconometricsdataanalysisinr |