Location analytics for mining and exploration

There is no question that maps are a very important visual tool to explain exploration and mining projects. Everybody has some maps for their project, but very few utilize this visual medium to its full potential. Using location analytics methodology, we create maps that answer all the questions stakeholders might have in a very concise visual manner.

What are the most common questions investors and analysts are asking about an early stage project? Access and infrastructure, water, electricity, communities, majors and other projects in the area etc. What about a more advanced project? Labor sources, major sources of power and water, impact on the community. All this and much more, can and should be shown on a map or in a series of maps. Most companies have this data, but it’s not well organized visually. The idea is to organize this data on a scale that is appropriate to the main point being made. Here are some examples (click image to enlarge):

Up and coming projects in a known district – The map should show the projects path into the future, if the company wants to sell the project, the map should show proximity to potential buyers looking to expand in the region, if the company wants to go into production, existing infrastructure, labor, power and water sources should be shown.

Exploration – Major metallogenic belts and significant deposits and mines should be shown. Major cities and infrastructure can be noted if appropriate to the scale at which the project is shown.

Access to market – Sometimes the commodity’s path to the market is a major factor in the viability of the project. In this case it helps to develop a map that specifically addresses transportation options.

Satellite Birds Eye view district maps – In some cases it is really helpful to show data in perspective (literally and figuratively speaking). The perspective view will compress distance to locations of interest and will allow to show a greater area and points of interest than would be possible in a straight down view. 

 

For more examples of Location Analytics for Mining maps see: