Goals : Maximize profit by minimizing the cost, minimize transport, and use the best suitable land for shrimp farming.
Criteria : Within 1/4 miles of a road; 1/2 from a river, Within 20 miles of Puntarenas; Nearby water salinity between 15-25%, Elevation between 3-10 meters.
A review of relevant literature suggests there is a need for more remote sensing and GIS integration in the field of aquaculture. Rajitha et. al. (2007) suggests that GIS and remote sensing is a necessary management component of aquaculture, especially when used to identify unsustainable problem areas. However, the datasets needed for the analysis of land at scales which are beneficial for aquaculture are unorganized at best. The solution? The organization of homogeneous composite land development units and real time updating of time series information. Networks need to be developed so that information can be collected quickly, efficiently and at a resolution that benefits micro-scale applications, i.e. shrimp aquaculture.
A shrimp farmer looking to expand in Costa Rica would pay a lot of money to quickly and easily know the best places for his next shrimp farm. The right location could save him money, adding to his profits in the long term. The basic idea here, being able to choose the "best" location, isn't new. It doesn't take a computer to figure out that the best location for a store is on the corner, at the intersection of two busy roads. However, the ability to complicate the scenario with sophisticated variables (salinity level, proximity to roads etc.) extending over large areas is a seminal jump in efficiency and capability.
This is just one example of the capabilities of a GIS. More examples can be found here.
Rajitha et al., 2007 K. Rajitha, C.K. Mukherjee and R. Vinu Chandran, Applications of remote sensing and GIS for sustainable management of shrimp culture in India, Aquac. Eng. 36 (2007), pp. 1–17.