I would like to share the original data and code I use in all of the, well, software and code column. I’m using Figshare to host all of this, and will try to keep it organized by column. Here is the data and original code for the first column, with the column found here and the second column found here. Thanks!
The purpose of this forum is to highlight the tools of the trade, our methodological toolbox, if you will. With so many scientists in so many disciplines contributing to the area known as “Spatial Demography”, we all have our old stand by routines, our tricks and our tips for new researchers. This is how I see this column evolving.
I will try to routinely post how-to guides to various techniques of spatial analysis and spatial statistics using the tools I know. This should include primarily open source computing applications, with lots of annotated code, but occasionally commercial or proprietary software will be highlighted as well. The first column for my area, for example, shows how to use the free R software package to read ACS data downloaded from American Factfinder, join it to a shapefile and conduct exploratory spatial data analysis using some standard methods. Future columns will continue to use R for various other programming and analysis examples and expand into other languages and platforms as time goes by.
While I’ve managed to come into contact with lots of different platforms and software over the past decade, I welcome those among us who make a habit of writing code, developing software, or even like to tinker with every program under the sun that will open a shapefile to contribute to this area. I welcome brief discussion for the forum, but would also welcome longer pieces of 1,000-3,000 words for publication in the regular column for this area.
I am very excited to be involved in this journal dedicated to our particular area of expertise and interest and personally look forward to growing our shared knowledge base over the next few years.