improves style

index.Rmd

@@ -231,9 +231,9 @@ The book covers a wide range of topics and will be of interest to a wide range o
 
 - People who have learned spatial analysis skills using a desktop Geographic Information System (GIS), such as [QGIS](http://qgis.org/en/site/), [ArcGIS](http://desktop.arcgis.com/en/arcmap/), [GRASS](https://grass.osgeo.org/) or [SAGA](http://www.saga-gis.org/en/index.html), who want access to a powerful (geo)statistical and visualization programming language and the benefits of a command-line approach [@sherman_desktop_2008]:
 
-  > With the advent of 'modern' GIS software, most people want to point and click their way through life. That’s good, but there is a tremendous amount of flexibility and power waiting for you with the command line.
+  > With the advent of 'modern' GIS software, most people want to point and click their way through life. That's good, but there is a tremendous amount of flexibility and power waiting for you with the command line.
 
-- Graduate students and researchers from fields specializing in geographic data including Geography, Remote Sensing, Planning, GIS and Geographic Data Science
+- Graduate students and researchers from fields specializing in geographic data including Geography, Remote Sensing, Planning, GIS and Spatial Data Science
 - Academics and post-graduate students working with geographic data --- in fields such as Geology, Regional Science, Biology and Ecology, Agricultural Sciences, Archaeology, Epidemiology, Transport Modeling, and broadly defined Data Science --- who require the power and flexibility of R for their research
 - Applied researchers and analysts in public, private or third-sector organizations who need the reproducibility, speed and flexibility of a command-line language such as R in applications dealing with spatial data as diverse as Urban and Transport Planning, Logistics, Geo-marketing (store location analysis) and Emergency Planning