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...

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Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: London and New York Routledge, Taylor & Francis Group 2021
Schriftenreihe:Routledge advanced texts in economics and finance
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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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