MMO1163 Mapping Sea Angling

asNeeded

Public sources of open text were parsed to identify if they contained data which probably described a sea angling trip from a charter boat, or ground preferences expressed by the charter boat skipper. If the criteria were met, then the text was checked for a known spatial and temporal location and if matched, information was extratacted to a well formed MS SQL Server database. Grounds are classified as rough (including reefs and rock pinnacles), wrecks, estuary, ground, sand banks and shark (large pelagic sharks; porbeagle, blue, thresher and mako). The sum of reported trips for each charter boat is calculated at the reported departure point or harbour. This sum is then divided by the total of all trips across England and expressed as a percentage. Crucially, the data are indicative of the type of grounds favoured and does not provide high resolution spatial data on where charter boats physically fish. Due to the nature of the data, it is recommended that outputs are only considered as qualitative. Methodologies for extracting data from open text fisher knowledge, and a detailed discussion of the limitations are given in Monkman, G. G. et al. (2018) Heterogeneous public and local knowledge provides a qualitative indicator of coastal use by marine recreational fishers. Journal of Environmental Management, 228, 495–505 and Monkman, et al. (2018) Text and Data Mining of Social Media to Map Wildlife Recreation Activity. Biological Conservation, 228, 89–99.