update slides

Author: libjohn

docs/01_georeference.html

@@ -338,8 +338,8 @@ <h3>Plot XY on the Map</h3>
 <span class="st">  </span><span class="kw">addMarkers</span>(<span class="dt">lat =</span> <span class="op">~</span>Latitude, 
              <span class="dt">lng =</span> <span class="op">~</span>Longitude, 
              <span class="dt">popup =</span> xy_locations<span class="op">$</span>Company)</code></pre></div>
-<div id="htmlwidget-4cdb4aa1160884c782d6" style="width:100%;height:480px;" class="leaflet html-widget"></div>
-<script type="application/json" data-for="htmlwidget-4cdb4aa1160884c782d6">{"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addTiles","args":["//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",null,null,{"minZoom":0,"maxZoom":18,"tileSize":256,"subdomains":"abc","errorTileUrl":"","tms":false,"noWrap":false,"zoomOffset":0,"zoomReverse":false,"opacity":1,"zIndex":1,"detectRetina":false,"attribution":"&copy; <a href=\"http://openstreetmap.org\">OpenStreetMap<\/a> contributors, <a href=\"http://creativecommons.org/licenses/by-sa/2.0/\">CC-BY-SA<\/a>"}]},{"method":"addMarkers","args":[[40.2487413,-7.9110809,9.49858,-7.0320658,-17.0490108,21.8693003,53.3323703,31.394935,30.274084,14.1313261],[72.1297653,111.4253892,50.8105261,108.4365067,-41.5612423,106.7691712,-6.2152673,92.835795,120.15507,122.8277624],null,null,null,{"interactive":true,"draggable":false,"keyboard":true,"title":"","alt":"","zIndexOffset":0,"opacity":1,"riseOnHover":false,"riseOffset":250},["Ailane","Thoughtbeat","Lazz","Zoomdog","Minyx","Devpulse","Meembee","Quamba","Realcube","Fatz"],null,null,null,null,{"interactive":false,"permanent":false,"direction":"auto","opacity":1,"offset":[0,0],"textsize":"10px","textOnly":false,"className":"","sticky":true},null]}],"limits":{"lat":[-17.0490108,53.3323703],"lng":[-41.5612423,122.8277624]}},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-975a8ca2cd4313573cc7" style="width:100%;height:480px;" class="leaflet html-widget"></div>
+<script type="application/json" data-for="htmlwidget-975a8ca2cd4313573cc7">{"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addTiles","args":["//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",null,null,{"minZoom":0,"maxZoom":18,"tileSize":256,"subdomains":"abc","errorTileUrl":"","tms":false,"noWrap":false,"zoomOffset":0,"zoomReverse":false,"opacity":1,"zIndex":1,"detectRetina":false,"attribution":"&copy; <a href=\"http://openstreetmap.org\">OpenStreetMap<\/a> contributors, <a href=\"http://creativecommons.org/licenses/by-sa/2.0/\">CC-BY-SA<\/a>"}]},{"method":"addMarkers","args":[[40.2487413,-7.9110809,9.49858,-7.0320658,-17.0490108,21.8693003,53.3323703,31.394935,30.274084,14.1313261],[72.1297653,111.4253892,50.8105261,108.4365067,-41.5612423,106.7691712,-6.2152673,92.835795,120.15507,122.8277624],null,null,null,{"interactive":true,"draggable":false,"keyboard":true,"title":"","alt":"","zIndexOffset":0,"opacity":1,"riseOnHover":false,"riseOffset":250},["Ailane","Thoughtbeat","Lazz","Zoomdog","Minyx","Devpulse","Meembee","Quamba","Realcube","Fatz"],null,null,null,null,{"interactive":false,"permanent":false,"direction":"auto","opacity":1,"offset":[0,0],"textsize":"10px","textOnly":false,"className":"","sticky":true},null]}],"limits":{"lat":[-17.0490108,53.3323703],"lng":[-41.5612423,122.8277624]}},"evals":[],"jsHooks":[]}</script>
 </div>
 </div>
 

docs/02_choropleth.html

@@ -2,7 +2,7 @@
 title: "Practical Mapping in R:<br>Lat/Lon plotting & Choropleths"
 subtitle: "leaflet, tidycensus, and sf"
 author: "John Little"
-date: "2018-1-25"
+date: "2018-10-23"
 output:
   xaringan::moon_reader:
     lib_dir: libs
@@ -62,46 +62,45 @@ This is a presenter comment for the presenter mode
 use 'p' to toggle the presenter mode or '?' or 'h' to toggle the help / key-shortcut options
 
 ---
-## Prequisites
+## Prerequisites
 
 - 023 Lab Workstations  (All packages and versions already installed)
 
-- Intro to R:  Tidyverse, R Notebooks, R Markdown, RStudio
+- [Intro to R](https://intro2r.library.duke.edu/):  Tidyverse, R Notebooks, R Markdown, RStudio
+- [ggplot2](https://ggplot.library.duke.edu/)
 
 ## Background Resources
 
 - [Intro2r](https://rfun.library.duke.edu/intro2r/)
 - [Reproducibility with git & RStudio](https://rfun.library.duke.edu/git/)
-- [Visualization in R using ggplot2](https://rfun.netlify.com/2017/09/26/visualization-in-r-using-ggplot2-workshop-fall-2017/)
+- [Visualization in R using ggplot2](https://rfun.library.duke.edu/portfolio/ggplot_workshop/)
 - [DVS learning materials: handouts, guides, data, and videos](http://library.duke.edu/data/news/past-workshops)
 
 
 ---
 ## Why Make Maps with R
 
--	Mapping is not necessarily GIS Analysis
-
--	Know R and not as familiar with 
+-	Already comfortable with R and not as familiar with 
     -	ArcGIS
     -	QGIS
+    - Tableau
     -	Python
 
 ---
 ## Library Packages used in this Workshop
 
-- `leaflet` -- best for interactivity
-- `tidycensus` -- thematic mapping, Census geography (shapefiles), Census data
-- `ggplot2` -- great for facet maps
+- **`leaflet`** -- creates interactive maps
+- **`tidycensus`** -- thematic mapping, Census geography (shapefiles), Census data
+- **`sf`** - [Simple Features Access](https://en.wikipedia.org/wiki/Simple_Features) for R (Open Geospatial & ISO)
+- `ggplot2` -- especially `geom_sf()` and `facet_wrap()`
+- `ggmap` -- can quickly generate simple static maps + more
 - Thematic Mapping
     - `tmap`
-    - `sf`
     - `ggplot2`
-        - to use `geom_sf()` will need to install ggplot2 development version
-        - `devtools::install_github("tidyverse/ggplot2")`
     - `viridis` -- diverging colors, sequential, bucketing colors
-- `sf` vs. `sp`
-    - sf for simple features.  Modern and current
-    - sp for spatial polygons.  The legacy approach
+    - `dplyr` (`tidyverse`)
+    
+&nbsp;
 
 See Also [System Info](http://rfun.library.duke.edu/map/software_prereqs.html#packages)
 
@@ -114,8 +113,6 @@ Packages of interest but not part of this workshop include...
 
 - `raster`
 
-- `ggmap`
-
 - `maptools`
 
 - `argeos`
@@ -197,15 +194,12 @@ background-image: url(images/hierarchy.png)
 
 https://www.census.gov/geo/reference/webatlas/
 
----
-background-image:  url(images/decennial_v_acs.jpg)
-
 ---
 background-image: url(images/polygons.png)
 ## Polygons
 
 ---
-## Census Variables
+## Identifying Census Variables
 
 - `tidycensus` -- [How To:  *Searching for Variables*](https://walkerke.github.io/tidycensus/articles/basic-usage.html#searching-for-variables)
 
@@ -270,84 +264,6 @@ class: middle, duke-green
 
     - Integrate an HTML widget into an R Notebook
 
----
-class: duke-softblue, middle, center
-
-## Markdown
-
----
-.pull-left[
-
-&nbsp;
-
-&nbsp;
-
-```
-
-# Heading
-
-## Sub-heading
-
-### Another deeper heading
- 
-Text attributes 
- *italic*, **bold**, `monospace`.
-
-A [link](http://example.com).
-
-Bullet list:
-- apples  
-- oranges  
-- pears  
-
-Numbered list:
-1. apples
-2. oranges
-3. pears
-```
-]
-
-.pull-right[
-# Heading
-## Sub-heading
-
-### Another deeper heading
-
-*italicized*, **bold**, `monospace`
-
-A [link](http://google.com)
-
-Bullet list:
-- applies
-- oranges
-- pears
-
-Numbered list:
-1. apples
-2. oranges
-3. pears
-
-]
-
----
-class: duke-orange, middle, center
-
-## **Reproducible Research** 
-
-Integrate your reproducible workflow using *Literate Coding* practices in *R* then generate reports directly from analysis 
-
-### R Notebooks + R Markdown + Git
-
-???
-
-This is where **Open** becomes **Awesome** 
-
-------
-## Design Practices
-
-Drew fill in here
-
-
 ---
 ## Thank You For Attending
 

docs/033_thematic_leaflet_example.html

@@ -4,6 +4,7 @@
     <title>Practical Mapping in R: Lat/Lon plotting &amp; Choropleths</title>
     <meta charset="utf-8">
     <meta name="author" content="John Little" />
+    <meta name="date" content="2018-10-23" />
     <link href="libs/remark-css-0.0.1/default.css" rel="stylesheet" />
     <link href="libs/remark-css-0.0.1/default-fonts.css" rel="stylesheet" />
     <link href="libs/remark-css-0.0.1/duke-blue.css" rel="stylesheet" />
@@ -18,7 +19,7 @@
 # Practical Mapping in R:<br>Lat/Lon plotting &amp; Choropleths
 ## leaflet, tidycensus, and sf
 ### John Little
-### 2018-1-25
+### 2018-10-23
 
 ---
 
@@ -66,46 +67,45 @@
 use 'p' to toggle the presenter mode or '?' or 'h' to toggle the help / key-shortcut options
 
 ---
-## Prequisites
+## Prerequisites
 
 - 023 Lab Workstations  (All packages and versions already installed)
 
-- Intro to R:  Tidyverse, R Notebooks, R Markdown, RStudio
+- [Intro to R](https://intro2r.library.duke.edu/):  Tidyverse, R Notebooks, R Markdown, RStudio
+- [ggplot2](https://ggplot.library.duke.edu/)
 
 ## Background Resources
 
 - [Intro2r](https://rfun.library.duke.edu/intro2r/)
 - [Reproducibility with git &amp; RStudio](https://rfun.library.duke.edu/git/)
-- [Visualization in R using ggplot2](https://rfun.netlify.com/2017/09/26/visualization-in-r-using-ggplot2-workshop-fall-2017/)
+- [Visualization in R using ggplot2](https://rfun.library.duke.edu/portfolio/ggplot_workshop/)
 - [DVS learning materials: handouts, guides, data, and videos](http://library.duke.edu/data/news/past-workshops)
 
 
 ---
 ## Why Make Maps with R
 
--	Mapping is not necessarily GIS Analysis
-
--	Know R and not as familiar with 
+-	Already comfortable with R and not as familiar with 
     -	ArcGIS
     -	QGIS
+    - Tableau
     -	Python
 
 ---
 ## Library Packages used in this Workshop
 
-- `leaflet` -- best for interactivity
-- `tidycensus` -- thematic mapping, Census geography (shapefiles), Census data
-- `ggplot2` -- great for facet maps
+- **`leaflet`** -- creates interactive maps
+- **`tidycensus`** -- thematic mapping, Census geography (shapefiles), Census data
+- **`sf`** - [Simple Features Access](https://en.wikipedia.org/wiki/Simple_Features) for R (Open Geospatial &amp; ISO)
+- `ggplot2` -- especially `geom_sf()` and `facet_wrap()`
+- `ggmap` -- can quickly generate simple static maps + more
 - Thematic Mapping
     - `tmap`
-    - `sf`
     - `ggplot2`
-        - to use `geom_sf()` will need to install ggplot2 development version
-        - `devtools::install_github("tidyverse/ggplot2")`
     - `viridis` -- diverging colors, sequential, bucketing colors
-- `sf` vs. `sp`
-    - sf for simple features.  Modern and current
-    - sp for spatial polygons.  The legacy approach
+    - `dplyr` (`tidyverse`)
+    
+&amp;nbsp;
 
 See Also [System Info](http://rfun.library.duke.edu/map/software_prereqs.html#packages)
 
@@ -118,8 +118,6 @@
 
 - `raster`
 
-- `ggmap`
-
 - `maptools`
 
 - `argeos`
@@ -201,15 +199,12 @@
 
 https://www.census.gov/geo/reference/webatlas/
 
----
-background-image:  url(images/decennial_v_acs.jpg)
-
 ---
 background-image: url(images/polygons.png)
 ## Polygons
 
 ---
-## Census Variables
+## Identifying Census Variables
 
 - `tidycensus` -- [How To:  *Searching for Variables*](https://walkerke.github.io/tidycensus/articles/basic-usage.html#searching-for-variables)
 
@@ -274,84 +269,6 @@
 
     - Integrate an HTML widget into an R Notebook
 
----
-class: duke-softblue, middle, center
-
-## Markdown
-
----
-.pull-left[
-
-&amp;nbsp;
-
-&amp;nbsp;
-
-```
-
-# Heading
-
-## Sub-heading
-
-### Another deeper heading
- 
-Text attributes 
- *italic*, **bold**, `monospace`.
-
-A [link](http://example.com).
-
-Bullet list:
-- apples  
-- oranges  
-- pears  
-
-Numbered list:
-1. apples
-2. oranges
-3. pears
-```
-]
-
-.pull-right[
-# Heading
-## Sub-heading
-
-### Another deeper heading
-
-*italicized*, **bold**, `monospace`
-
-A [link](http://google.com)
-
-Bullet list:
-- applies
-- oranges
-- pears
-
-Numbered list:
-1. apples
-2. oranges
-3. pears
-
-]
-
----
-class: duke-orange, middle, center
-
-## **Reproducible Research** 
-
-Integrate your reproducible workflow using *Literate Coding* practices in *R* then generate reports directly from analysis 
-
-### R Notebooks + R Markdown + Git
-
-???
-
-This is where **Open** becomes **Awesome** 
-
-------
-## Design Practices
-
-Drew fill in here
-
-
 ---
 ## Thank You For Attending