walt

Currently: i'm working in another repo, where i'm trying to update and port-over my JupyterLab Notebook from Python to R, so i can run checcomi's code in the same environment.

Progress thus far: Have installed R-Studio on my machine, using the Anaconda package manager, which has most of the libraries on which i see that this code depends, but not all.

Here's the list of successes and failures thus far:

-  installed packages: (all with prefix of 'r-'):
    - library(viridis) # nice color palette
    - library(dplyr) # use for fixing up data
    - library(readr) # reading in data/csv
    - library(RColorBrewer) # for color palettes
    - library(purrr) # for mapping over a function
    - library(maptools)
    - library(ggplot2)
    - library(sp)
    - library(plotly)
    - library(data.table)
    - library(stringr)
    - library(lubridate)
    - library(raster) 
        - And geotiff and rasterio, related in descr.  Also: the MANY dependencies!

- yet to install:
    - library(ggmap) # ggplot functionality for maps
    - library(magick) # this is call to animate/read pngs
        - no... but have r-magic
    - library(gpclib)
    - library(rgdal)
    - library(RStoolbox)
    - library(gapminder)
    - library(RgoogleMaps)
    - library(rasterVis)

All those on the "yet to install" list were not known to my Anaconda package manager; this does not mean that they cannot be installed, but i'm afraid that installing them via some other installer at the command-line might mess-up some dependencies in my software stack... So i would ask:

1. Are all these essential tools? Is there any other functionally equivalent substitute? and
2. Is there some alternative way of installing that could mitigate the risk of broken dependencies?