A 4.6-fold increase in the bimass of Cliona delitrix infesting Montastrea cavernosa substrate occurred in a portion of the Grand Cayman fringing reef affected by the discharge of untreated fecal sewage.It is suggested that the 6.3-fold increase in bacteria biomass (both coliforms and natural marine bacterioplankton) is linked to the sponge proliferation at the polluted site. Since demosponges normally obtain much of their nutritional needs from URPOC and only 11 from bacteria, the significance of the elevated bacteria count may be limited to its importance as a flag as an indicator of untreated sewage effluent. At the polluted study site, Montastrea cavernosa exhibited a 451 reduction in the amount of substrate occupied by living polyps.The loss of this respiring coral biomass is probably not compensated for by the biomass increases of C. delitrix and of the microflora inhabiting the dead substrate.The increased C. delitrix biomass reflects a. similar increase in the amount of M. cavernosa skeleton that has been eroded and reduced to silt-sized sediment. Thus, the discharge of untreated sewage into the reef environment can have a profound effect upon the trophic distribution of reef fauna, leading to a disturbance of the precarious balance between carbonate production and destruction on the reef. / Thesis / Bachelor of Science (BSc)

This master thesis report presents the development of a geographical visualization system using taxi data. The system uses a large data base from a taxi company that have previously never used the data for visualization purposes. The taxi company requested a system that processes the data on a server on demand and visualizes it on a web client using heat map visualization as a primary visualization technique. The web client was supposed to be easy to use, provide deeper knowledge about the business of a taxi company and at the same time kept interactive with low latency for data requests. A big part of the thesis focuses on techniques for decimating an original data set to a smaller representational data set to be used for heat map visualization and sent to a web client from a server. The project continues by optimizing the system to keep latency to a minimum and finally developing a web client to explore the data. The result is a system with promising latency that is easy to use for exploring data and gaining a deeper knowledge about a taxi business.