2021-01-19
For more on setting up the environment and sample data, see the preparation document.
Data | File(s) | Format | Source |
---|---|---|---|
“Nafot” | nafot.shp (+7) |
Shapefile | https://www.gov.il/he/Departments/Guides/info-gis |
Railways | RAIL_STRATEGIC.shp (+7) |
Shapefile | https://data.gov.il/dataset/rail_strategic |
Statistical areas | statisticalareas_demography2018.gdb |
GDB | https://www.cbs.gov.il/he/Pages/geo-layers.aspx |
The data for this tutorial can be downloaded from:
https://github.com/michaeldorman/R-Spatial-Workshop-at-CBS-2021/raw/main/data.zip
A script with the R code of this document is available here:
https://github.com/michaeldorman/R-Spatial-Workshop-at-CBS-2021/raw/main/main.R
All of the materials are also available on GitHub.
Please feel free to ask questions as we go along!
Software in general, and software for spatial analysis in particular, is characterized by two types of interfaces:
In a GUI, our interaction with the computer is restricted to the predefined set of input elements, such as buttons, menus, and dialog boxes. In a CLI, we interact with the computer by writing code, which means that our instructions are practically unconstraned. In other words, with a CLI, we can give the computer specific instructions to do anything we want.
R, which we talk about today, is an example of CLI software for working with (among other things) spatial data.