readme updated

README.md

@@ -63,9 +63,9 @@ git clone https://github.com/Robinlovelace/geocompr.git # download the repo
 # https://github.com/Robinlovelace/geocompr/archive/master.zip
 cd .\geocompr\ # navigate into the repo
 # for linux and mac:
-docker run -d -p 8787:8787 -v $(pwd):/data robinlovelace/geocompr
+docker run -d -p 8787:8787 -v $(pwd):/home/rstudio/data robinlovelace/geocompr
 # for windows:
-docker run -d -p 8787:8787 -v ${pwd}:/data robinlovelace/geocompr
+docker run -d -p 8787:8787 -v ${pwd}:/home/rstudio/data robinlovelace/geocompr
 ```
 
 If it worked you should be able to open-up RStudio server by opening a browser and navigating to <http://localhost:8787/> resulting in an up-to-date version of R and RStudio running in a container (if it didn't you may have an issue with permissions - see [here](https://stackoverflow.com/questions/34031397/running-docker-on-ubuntu-mounted-host-volume-is-not-writable-from-container)):
@@ -74,11 +74,7 @@ If it worked you should be able to open-up RStudio server by opening a browser a
 
 geocompr in docker: if you see something like this after following the steps above, congratulations: it worked!
 
-From this point to *build* the book you need to navigate to the volume location on docker machine, by opening the project at `/data` from the project box in the top-right hand corner, illustrated in the figure below. From here open the file `index.Rmd` and hit the little `knit` button above the the RStudio script panel (above the `book` text on line 81 illustrated in the image above).
-
-![](https://user-images.githubusercontent.com/1825120/39538462-d4db2928-4e34-11e8-8612-add5188ed642.png)
-
-Opening the project: navigate to the volume folder in docker (or in another location on your computer)
+From this point to *build* the book you can open projects in the `data` directory from the project box in the top-right hand corner, and knit `index.Rmd` with the little `knit` button above the the RStudio script panel (`Ctl+Shift+B` should do the same job).
 
 Reproducing this README
 -----------------------
@@ -158,12 +154,12 @@ knitr::kable(pkg_df)
 
 | Name              | Title                                                                                     | version    |
 |:------------------|:------------------------------------------------------------------------------------------|:-----------|
-| bookdown          | Authoring Books and Technical Documents with R Markdown \[@R-bookdown\]                   | 0.7.10     |
+| bookdown          | Authoring Books and Technical Documents with R Markdown \[@R-bookdown\]                   | 0.7        |
 | cartogram         | Create Cartograms with R \[@R-cartogram\]                                                 | 0.0.3      |
 | decido            | Bindings for 'Mapbox' Ear Cutting Triangulation Library \[@R-decido\]                     | 0.1.0      |
 | dismo             | Species Distribution Modeling \[@R-dismo\]                                                | 1.1.4      |
 | geosphere         | Spherical Trigonometry \[@R-geosphere\]                                                   | 1.5.7      |
-| ggmap             | Spatial Visualization with ggplot2 \[@R-ggmap\]                                           | 2.6.1      |
+| ggmap             | Spatial Visualization with ggplot2 \[@R-ggmap\]                                           | 2.7.900    |
 | ggplot2           | Create Elegant Data Visualisations Using the Grammar of Graphics \[@R-ggplot2\]           | 2.2.1.9000 |
 | gstat             | Spatial and Spatio-Temporal Geostatistical Modelling, Prediction \[@R-gstat\]             | 1.1.6      |
 | historydata       | Data Sets for Historians \[@R-historydata\]                                               | 0.2.9001   |
@@ -175,8 +171,8 @@ knitr::kable(pkg_df)
 | lwgeom            | Bindings to Selected 'liblwgeom' Functions for Simple Features \[@R-lwgeom\]              | 0.1.5      |
 | mapview           | Interactive Viewing of Spatial Data in R \[@R-mapview\]                                   | 2.4.0      |
 | microbenchmark    | Accurate Timing Functions \[@R-microbenchmark\]                                           | 1.4.4      |
-| mlr               | Machine Learning in R \[@R-mlr\]                                                          | 2.12.1     |
-| osmdata           | Import 'OpenStreetMap' Data as Simple Features or Spatial \[@R-osmdata\]                  | 0.0.6.1    |
+| mlr               | Machine Learning in R \[@R-mlr\]                                                          | 2.13       |
+| osmdata           | Import 'OpenStreetMap' Data as Simple Features or Spatial \[@R-osmdata\]                  | 0.0.7.1    |
 | pROC              | Display and Analyze ROC Curves \[@R-pROC\]                                                | 1.12.1     |
 | raster            | Geographic Data Analysis and Modeling \[@R-raster\]                                       | 2.6.7      |
 | rcartocolor       | 'CARTOColors' Palettes \[@R-rcartocolor\]                                                 | 0.0.22     |
@@ -186,14 +182,14 @@ knitr::kable(pkg_df)
 | rmarkdown         | Dynamic Documents for R \[@R-rmarkdown\]                                                  | 1.9        |
 | rnaturalearth     | World Map Data from Natural Earth \[@R-rnaturalearth\]                                    | 0.1.0      |
 | rnaturalearthdata | World Vector Map Data from Natural Earth Used in 'rnaturalearth' \[@R-rnaturalearthdata\] | 0.1.0      |
-| RQGIS             | Integrating R with QGIS \[@R-RQGIS\]                                                      | 1.0.3.9000 |
+| RQGIS             | Integrating R with QGIS \[@R-RQGIS\]                                                      | 1.0.3      |
 | RSAGA             | SAGA Geoprocessing and Terrain Analysis \[@R-RSAGA\]                                      | 1.1.0      |
 | sf                | Simple Features for R \[@R-sf\]                                                           | 0.6.4      |
 | sp                | Classes and Methods for Spatial Data \[@R-sp\]                                            | 1.2.7      |
 | spData            | Datasets for Spatial Analysis \[@R-spData\]                                               | 0.2.8.8    |
-| spDataLarge       | Large datasets for spatial analysis \[@R-spDataLarge\]                                    | 0.2.6.3    |
+| spDataLarge       | Large datasets for spatial analysis \[@R-spDataLarge\]                                    | 0.2.6.4    |
 | stplanr           | Sustainable Transport Planning \[@R-stplanr\]                                             | 0.2.4      |
 | tabularaster      | Tidy Tools for 'Raster' Data \[@R-tabularaster\]                                          | 0.4.0      |
-| tidyverse         | Easily Install and Load the 'Tidyverse' \[@R-tidyverse\]                                  | 1.2.1      |
+| tidyverse         | Easily Install and Load the 'Tidyverse' \[@R-tidyverse\]                                  | 1.2.1.9000 |
 | tmap              | Thematic Maps \[@R-tmap\]                                                                 | 2.0        |
 | tmaptools         | Thematic Map Tools \[@R-tmaptools\]                                                       | 2.0        |

extdata/generic_map_pkgs.csv

@@ -1,10 +1,10 @@
 package,published,title,depends_count,suggests_count,tidyverse_happy,has_vignette_build,has_tests,reverse_count,dl_last_month,ci,test_coverage,forks,stars,watchers,last_commit,last_issue_closed,contributors
-cartography,2018-04-30,Thematic Cartography,1,4,FALSE,TRUE,FALSE,0,1986,Travis,NONE,15,95,10,NA,1.4666666666666666,10
-ggplot2,2016-12-30,Create Elegant Data Visualisations Using the Grammar of Graphics,1,15,TRUE,TRUE,TRUE,1242,533648,"Travis, Appveyor",CodeCov,1185,3092,314,NA,0,150
-googleway,2018-04-29,Accesses Google Maps APIs to Retrieve Data and Plot Maps,1,3,TRUE,TRUE,TRUE,1,2533,Travis,CodeCov,16,87,8,NA,0.06666666666666667,5
+cartography,2018-04-30,Thematic Cartography,1,4,FALSE,TRUE,FALSE,0,2130,Travis,NONE,15,96,10,NA,1.9666666666666666,5
+ggplot2,2016-12-30,Create Elegant Data Visualisations Using the Grammar of Graphics,1,15,TRUE,TRUE,TRUE,1258,503791,"Travis, Appveyor",CodeCov,1195,3132,313,NA,0,152
+googleway,2018-05-25,Accesses Google Maps APIs to Retrieve Data and Plot Maps,1,3,TRUE,TRUE,TRUE,1,2536,Travis,CodeCov,16,90,9,NA,0,6
 leaflet,2018-04-20,"Create Interactive Web Maps with the JavaScript 'Leaflet'
-Library",1,10,TRUE,FALSE,TRUE,34,35995,Travis,NONE,297,462,93,NA,0,18
-mapview,2018-04-28,Interactive Viewing of Spatial Data in R,2,6,FALSE,FALSE,TRUE,4,13611,Travis,CodeCov,30,160,34,NA,0.1,9
-plotly,2017-07-29,Create Interactive Web Graphics via 'plotly.js',2,18,TRUE,FALSE,TRUE,64,65366,Travis,NONE,452,1223,115,NA,0.03333333333333333,24
-rasterVis,2018-04-05,Visualization Methods for Raster Data,4,4,FALSE,FALSE,FALSE,10,8288,Travis,NONE,12,35,6,NA,0.03333333333333333,13
-tmap,2018-04-10,Thematic Maps,2,7,FALSE,TRUE,FALSE,1,11216,"Travis, Appveyor",NONE,40,215,19,NA,0.03333333333333333,0
+Library",1,10,TRUE,FALSE,TRUE,36,34489,Travis,NONE,301,469,94,NA,0,18
+mapview,2018-04-28,Interactive Viewing of Spatial Data in R,2,6,FALSE,FALSE,TRUE,4,13709,Travis,CodeCov,30,161,34,NA,0.26666666666666666,1
+plotly,2017-07-29,Create Interactive Web Graphics via 'plotly.js',2,18,TRUE,FALSE,TRUE,67,62724,Travis,NONE,456,1231,114,NA,0.03333333333333333,11
+rasterVis,2018-04-05,Visualization Methods for Raster Data,4,4,FALSE,FALSE,FALSE,10,7168,Travis,NONE,12,36,6,NA,0.5333333333333333,13
+tmap,2018-04-10,Thematic Maps,2,7,FALSE,TRUE,FALSE,1,10018,"Travis, Appveyor",CodeCov,41,220,18,NA,0.06666666666666667,0

extdata/package_list.csv

@@ -1,10 +1,10 @@
 "Name","Title","version"
-"bookdown","Authoring Books and Technical Documents with R Markdown [@R-bookdown]","0.7.10"
+"bookdown","Authoring Books and Technical Documents with R Markdown [@R-bookdown]","0.7"
 "cartogram","Create Cartograms with R [@R-cartogram]","0.0.3"
 "decido","Bindings for 'Mapbox' Ear Cutting Triangulation Library [@R-decido]","0.1.0"
 "dismo","Species Distribution Modeling [@R-dismo]","1.1.4"
 "geosphere","Spherical Trigonometry [@R-geosphere]","1.5.7"
-"ggmap","Spatial Visualization with ggplot2 [@R-ggmap]","2.6.1"
+"ggmap","Spatial Visualization with ggplot2 [@R-ggmap]","2.7.900"
 "ggplot2","Create Elegant Data Visualisations Using the Grammar of Graphics [@R-ggplot2]","2.2.1.9000"
 "gstat","Spatial and Spatio-Temporal Geostatistical Modelling, Prediction [@R-gstat]","1.1.6"
 "historydata","Data Sets for Historians [@R-historydata]","0.2.9001"
@@ -16,8 +16,8 @@
 "lwgeom","Bindings to Selected 'liblwgeom' Functions for Simple Features [@R-lwgeom]","0.1.5"
 "mapview","Interactive Viewing of Spatial Data in R [@R-mapview]","2.4.0"
 "microbenchmark","Accurate Timing Functions [@R-microbenchmark]","1.4.4"
-"mlr","Machine Learning in R [@R-mlr]","2.12.1"
-"osmdata","Import 'OpenStreetMap' Data as Simple Features or Spatial [@R-osmdata]","0.0.6.1"
+"mlr","Machine Learning in R [@R-mlr]","2.13"
+"osmdata","Import 'OpenStreetMap' Data as Simple Features or Spatial [@R-osmdata]","0.0.7.1"
 "pROC","Display and Analyze ROC Curves [@R-pROC]","1.12.1"
 "raster","Geographic Data Analysis and Modeling [@R-raster]","2.6.7"
 "rcartocolor","'CARTOColors' Palettes [@R-rcartocolor]","0.0.22"
@@ -27,14 +27,14 @@
 "rmarkdown","Dynamic Documents for R [@R-rmarkdown]","1.9"
 "rnaturalearth","World Map Data from Natural Earth [@R-rnaturalearth]","0.1.0"
 "rnaturalearthdata","World Vector Map Data from Natural Earth Used in 'rnaturalearth' [@R-rnaturalearthdata]","0.1.0"
-"RQGIS","Integrating R with QGIS [@R-RQGIS]","1.0.3.9000"
+"RQGIS","Integrating R with QGIS [@R-RQGIS]","1.0.3"
 "RSAGA","SAGA Geoprocessing and Terrain Analysis [@R-RSAGA]","1.1.0"
 "sf","Simple Features for R [@R-sf]","0.6.4"
 "sp","Classes and Methods for Spatial Data [@R-sp]","1.2.7"
 "spData","Datasets for Spatial Analysis [@R-spData]","0.2.8.8"
-"spDataLarge","Large datasets for spatial analysis [@R-spDataLarge]","0.2.6.3"
+"spDataLarge","Large datasets for spatial analysis [@R-spDataLarge]","0.2.6.4"
 "stplanr","Sustainable Transport Planning [@R-stplanr]","0.2.4"
 "tabularaster","Tidy Tools for 'Raster' Data [@R-tabularaster]","0.4.0"
-"tidyverse","Easily Install and Load the 'Tidyverse' [@R-tidyverse]","1.2.1"
+"tidyverse","Easily Install and Load the 'Tidyverse' [@R-tidyverse]","1.2.1.9000"
 "tmap","Thematic Maps [@R-tmap]","2.0"
 "tmaptools","Thematic Map Tools [@R-tmaptools]","2.0"

extdata/specific_map_pkgs.csv

@@ -1,5 +1,5 @@
 package,published,title,depends_count,suggests_count,tidyverse_happy,has_vignette_build,has_tests,reverse_count,dl_last_month,ci,test_coverage,forks,stars,watchers,last_commit,last_issue_closed,contributors
-cartogram,2016-09-28,Create Cartograms with R,NA,2,FALSE,FALSE,FALSE,0,2297,Travis,NONE,5,42,5,NA,2.7666666666666666,1
-geogrid,2018-02-20,Turn Geospatial Polygons into Regular or Hexagonal Grids,NA,2,FALSE,FALSE,TRUE,1,596,Travis,CodeCov,16,246,17,NA,0.3,0
-geofacet,2018-03-29,'ggplot2' Faceting Utilities for Geographical Data,1,6,TRUE,TRUE,TRUE,0,619,Not on GitHub,Not on GitHub,NA,NA,NA,NA,NA,NA
-linemap,2017-09-15,Line Maps,1,NA,FALSE,FALSE,FALSE,0,172,Not on GitHub,Not on GitHub,NA,NA,NA,NA,NA,NA
+cartogram,2018-05-22,Create Cartograms with R,NA,2,FALSE,FALSE,FALSE,0,2939,Travis,NONE,5,42,5,NA,3.2666666666666666,1
+geogrid,2018-02-20,Turn Geospatial Polygons into Regular or Hexagonal Grids,NA,2,FALSE,FALSE,TRUE,1,487,Travis,CodeCov,17,246,18,NA,0.8,0
+geofacet,2018-03-29,'ggplot2' Faceting Utilities for Geographical Data,1,6,TRUE,TRUE,TRUE,0,528,Not on GitHub,Not on GitHub,NA,NA,NA,NA,NA,NA
+linemap,2017-09-15,Line Maps,1,NA,FALSE,FALSE,FALSE,0,165,Not on GitHub,Not on GitHub,NA,NA,NA,NA,NA,NA

extdata/top_dls.csv

@@ -1,73 +1,75 @@
 package,Downloads,date
-plotly,2145,2018-05-17
-raster,2008,2018-05-17
-spData,1776,2018-05-17
-leaflet,1217,2018-05-17
-spdep,1104,2018-05-17
-mapview,456,2018-05-17
-geojsonio,405,2018-05-17
-rmapshaper,277,2018-05-17
-tigris,166,2018-05-17
-lwgeom,110,2018-05-17
-rnaturalearth,87,2018-05-17
-cartography,68,2018-05-17
-googlePolylines,66,2018-05-17
-osmdata,56,2018-05-17
-tidycensus,51,2018-05-17
-velox,44,2018-05-17
-mapedit,41,2018-05-17
-spatialEco,38,2018-05-17
-fasterize,26,2018-05-17
-RQGIS,25,2018-05-17
-btb,24,2018-05-17
-stplanr,23,2018-05-17
-MODIS,22,2018-05-17
-spbabel,21,2018-05-17
-USAboundaries,20,2018-05-17
-rmapzen,19,2018-05-17
-geogrid,18,2018-05-17
-jpndistrict,18,2018-05-17
-FedData,17,2018-05-17
-mapsapi,15,2018-05-17
-ipumsr,14,2018-05-17
-concaveman,13,2018-05-17
-link2GI,13,2018-05-17
-SpaDES.tools,13,2018-05-17
-echor,11,2018-05-17
-GSODR,11,2018-05-17
-rcartocolor,11,2018-05-17
-tabularaster,11,2018-05-17
-crawl,10,2018-05-17
-jpmesh,10,2018-05-17
-tilegramsR,10,2018-05-17
-adklakedata,9,2018-05-17
-cdcfluview,9,2018-05-17
-nngeo,9,2018-05-17
-bcmaps,8,2018-05-17
-mudata2,8,2018-05-17
-NLMR,8,2018-05-17
-brazilmaps,7,2018-05-17
-hydrolinks,7,2018-05-17
-NipponMap,7,2018-05-17
-openSTARS,7,2018-05-17
-RCzechia,7,2018-05-17
-swmmr,7,2018-05-17
-cancensus,6,2018-05-17
-cyclestreets,6,2018-05-17
-kokudosuuchi,6,2018-05-17
-rgeopat2,6,2018-05-17
-sfdct,6,2018-05-17
-statesRcontiguous,6,2018-05-17
-eixport,5,2018-05-17
-GWSDAT,5,2018-05-17
-LAGOSNE,5,2018-05-17
-linemap,5,2018-05-17
-parlitools,5,2018-05-17
-rpostgisLT,5,2018-05-17
-sabre,5,2018-05-17
-smoothr,5,2018-05-17
-vein,5,2018-05-17
-landsepi,4,2018-05-17
-lutz,4,2018-05-17
-uavRmp,4,2018-05-17
-wunderscraper,4,2018-05-17
+plotly,2091,2018-05-24
+raster,1950,2018-05-24
+spData,1639,2018-05-24
+leaflet,1150,2018-05-24
+spdep,1034,2018-05-24
+mapview,457,2018-05-24
+geojsonio,386,2018-05-24
+rmapshaper,264,2018-05-24
+tigris,139,2018-05-24
+lwgeom,108,2018-05-24
+FedData,105,2018-05-24
+cartogram,98,2018-05-24
+eurostat,92,2018-05-24
+rnaturalearth,87,2018-05-24
+cartography,71,2018-05-24
+googlePolylines,67,2018-05-24
+btb,66,2018-05-24
+osmdata,59,2018-05-24
+tidycensus,44,2018-05-24
+mapedit,40,2018-05-24
+spatialEco,38,2018-05-24
+velox,34,2018-05-24
+fasterize,26,2018-05-24
+RQGIS,25,2018-05-24
+stplanr,24,2018-05-24
+MODIS,22,2018-05-24
+spbabel,20,2018-05-24
+jpndistrict,19,2018-05-24
+rmapzen,19,2018-05-24
+USAboundaries,19,2018-05-24
+geogrid,16,2018-05-24
+mapsapi,15,2018-05-24
+ipumsr,14,2018-05-24
+link2GI,13,2018-05-24
+SpaDES.tools,13,2018-05-24
+tabularaster,13,2018-05-24
+concaveman,12,2018-05-24
+crawl,11,2018-05-24
+rcartocolor,11,2018-05-24
+GSODR,10,2018-05-24
+nngeo,10,2018-05-24
+adklakedata,9,2018-05-24
+cdcfluview,9,2018-05-24
+jpmesh,9,2018-05-24
+tilegramsR,9,2018-05-24
+bcmaps,8,2018-05-24
+cyclestreets,8,2018-05-24
+mudata2,8,2018-05-24
+NipponMap,8,2018-05-24
+NLMR,8,2018-05-24
+brazilmaps,7,2018-05-24
+hydrolinks,7,2018-05-24
+kokudosuuchi,7,2018-05-24
+openSTARS,7,2018-05-24
+RCzechia,7,2018-05-24
+cancensus,6,2018-05-24
+echor,6,2018-05-24
+linemap,6,2018-05-24
+rgeopat2,6,2018-05-24
+sfdct,6,2018-05-24
+statesRcontiguous,6,2018-05-24
+swmmr,6,2018-05-24
+eixport,5,2018-05-24
+GWSDAT,5,2018-05-24
+LAGOSNE,5,2018-05-24
+landsepi,5,2018-05-24
+lutz,5,2018-05-24
+parlitools,5,2018-05-24
+rpostgisLT,5,2018-05-24
+sabre,5,2018-05-24
+smoothr,5,2018-05-24
+vein,5,2018-05-24
+uavRmp,4,2018-05-24
+wunderscraper,4,2018-05-24

extdata/word-count-time.csv

@@ -577,3 +577,21 @@ n_words,chapter,date,n_pages
 2002,18,2018-05-19,NA
 1326,19,2018-05-19,NA
 1,20,2018-05-19,NA
+5501,1,2018-05-25,NA
+9604,2,2018-05-25,NA
+6022,3,2018-05-25,NA
+7539,4,2018-05-25,NA
+9746,5,2018-05-25,NA
+5416,6,2018-05-25,NA
+4136,7,2018-05-25,NA
+9858,8,2018-05-25,NA
+4975,9,2018-05-25,NA
+1927,10,2018-05-25,NA
+6636,11,2018-05-25,NA
+7408,12,2018-05-25,NA
+4496,13,2018-05-25,NA
+1012,14,2018-05-25,NA
+4,15,2018-05-25,NA
+2014,16,2018-05-25,NA
+1280,17,2018-05-25,NA
+1,18,2018-05-25,NA