All the code shows how to create a tmap with an inset map within the map frame.

Ran into problems publishing large files. Downscaled size of vector and raster data. Sent to RPubs server without a hitch.

This is a final webmap with the landcover rasters, county administrative file and an opacity slider.

This map shows the landcover classes for 2016 and 2019, an administrative shapefile with population and name of county and an Opacity slider to make the raster layers transparent.

This chapters shows how to perform accuracy assessment in R.

This chapter shows how to undertake supervised landcover classification using random Forest in R

In this chapter, we deal with simple operations using satellite imagery.

A map showing the major town and city centers in Kenya. It also shows the top five most populous counties in the country.

This map shows the major towns in Kenya, as well as the most populous counties in the country.

Continuing from chapter 2, learn how to display raster data and add contours!

In this second chapter, I introduce loading and manipulating spatial data in R. During the time of publication, I ran into various errors perhaps due to some corrupted directories, however, if the learner begun with chapter 1 here - https://rpubs.com/sammigachuhi/decodegisplease, they will not run into problems

This document is a simple, yet humurous way for the beginner to get their way around R and especially R studio

An exquisite tourist hotel