Computational Techniques for Analysis of Spatial Time Series on Fish Species Catch Quantity in Greece

Abstract

This paper is based on a Multidimensional Fishery Time Series Database of Greece that stores spatial, biological, temporal, technical and economic data extracted from National Statistical Service of the country. Time series on fish species catch quantity are aggregated in order to form the spatial data on three levels: total, fish region and fish area. It provides consistent view of the spatial distribution of fish species catch quantities and allows a multi-scale analysis performance. Computational procedure and software techniques based on intersection of datasets are developed to extract specific features of catch by fish regions, areas and species, as well. Four case studies present analytical capabilities of computational techniques in order to find out significant differences and similarities on fish species catch by regions and by areas. This paper illustrates the use of public information sources on exploitation of natural resources for scientific analysis.