This is a very technical book about a very technical subject. The book has a 'deep' hierarchy of parts > chapters > sections > subsections, as well as many (though not always easy to understand) graphics. But on first reading it will be difficult to keep track of the 3 dimensions: topics, chapters, datasets. It has helped me to navigate the content by considering each (sub)section's location in a 3-dimensional space defined by:
AREA |
TOPIC | EXAMPLE | QUESTION |
---|---|---|---|
GIS |
Geographic information science topics | point pattern analysis | what technique is being explored? |
SP |
sp system and its components | grids | how does sp implement this idea? |
DATASETS |
key datasets used for examples | meuse | what data are used to illustrate the technique or idea? |
These notes, references, and associated code are to help you gain a familiarity with the system. Please suggest additions and point out errors.
file:///c://Users/USERNAME/Documents/R/win64-library/2.11/sp/
(substitute your USERNAME
)In the course directory you'll find scripts I've written or modified to simplify and clarify presentations made in the book. You may need to open these R files in WordPad or any word processing application more advanced than Notepad.
NOTE: Check to be sure you're running a recent version of a script - and ask me to update one if it's old.
bivand_2008.xlxs | A spreadsheet that attempts to organize the Bivand material |
spatial_objects.xlsx | Spatial objects spreadsheet |
datasets.xlsx | A list of the Bivand et al datafiles |
bivand.html | The libraries needed for most of the sp() examples |