We know that GIS was one of the first tools to be used for knowledge and data mining. Injecting location into a dataset opens up an understanding of the data and leads to discoveries otherwise not easily accessible. This is not just true for historical times, but it is becoming more and more relevant to all organisations as knowldege and data with reference to location becomes ubiquitous and embedded in all data.
To perform knowledge mining, we use tools such as R and Python and big data management systems such as MongoDB. Our preference is to do this in the cloud but we can also perform this work on local repositories.