20170801 08022100 1.0 FGDC CSDGM Metadata TRUE Maps published in Fishing in Maryland were georeferenced by eye to a geographic infromation systems database to represent popular fishing spots for largemouth bass and smallmouth bass. These data were georeferenced for issues published in 1960, 1965, 1966, 1967, 1968, 1978, 1983, 1985, 1986, 1988, 1989, 1996, 1998, 2003 and 2004. Fishing spots were identified by bass fishing charter boat guides. Once plotted in a map, some spots were identified as popular for more than one year. Therefore the data were summarized by layering all years of data, creating a buffer of 5 km for each site, and joining buffered sites that intersected or were within 150 m. A fishing spot could vary by a linear distance of approximately 0.30 km among years, likely a result of georeferencing error. The 0.30 km error of a site had a 0.15 km (150 m) radius. Each joined, buffered site was characterized with habitat conditions determined by bathymetry data and aerial photos from 2017. Habitat is likely to have changed at these sites since 1960 and current habitat characteristics may not represent those of previous years. Bass Fishing Recreation Identify popular fishing spots for largemouth bass and smallmouth bass in Maryland's tidal Chesapeake Bay watershed. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACqWsakmj6Pd6jJDLNHbRmRkiGWIHWrtNdFkjZHGVYEEe1AIx /C3iaz8W6Iuq2Mc0cDSMgWYANkH2JFbVeKXdsfgrr0V1Z6h5+gahJtbTnctMuPvOo4UkcAHOTkAg 9ava98cdMfSZV8OQzS37FkVrhNqx4/ixzu+n546HP2iS9419k5P3Nmeu0VmeHX1KTw7YPrBQ6g0I acpjG4/TA6Y6cVp1ojJhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWB4j8Y 6D4ZicapfrHN5ZdYIwWlYcgYUdMkYBOBnvSbS3Gk27I36z9L1qw1n7X9gmMv2S4a2myhXbIvUcjn r1HFeU/BXVjc65r1s13czeYqzAXbF5WCnbktnGcMueBnI4AFeq6Jbana2Bj1a8hu7oyM3mxRCMbS eBj1x/k9TMZcyTRc4cjaZxfjT4dXviHxNF4it9Wljls4l8i1iGx2K5OFk3YUkk4Yg4z7VDpPh7VY 9Sm8UeMzpRs/7OdJ7ZrVS0QDh1BwMEAKO5PQYOM10MfiuHxLBqen+GrtYtYteP8AS4GCoQ2CTx9f zHHUVmX8XxGnvTEraT9haYwHy4wSYnXHmMHJzs67R1JIwRUtK90UnK3K9DC8Q+LPGWm+K7G80p7X UNG1Qqun2gUZlUqpY5wGU5PUk49MZr0rRbu/vtKiuNT07+z7ti2+280SbMEgfMODkYP41x06/EbS ry3tNPttL1OyigRFnmAjIcLy20MuP7uBnjHTJx30JlMEZmVVlKjeFOQGxzg+lOF7sU2rKyQ+iiit DIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArivHvw4sPG0cUxlFpqMQCrc+XvymSdp GRnkkj0NdrRSaTVmOMnF3RkaN4Y0Xw+0r6Xp0FrJKqrI0a4yAP0HfA789a16KKaVtgbb3E2jcWwM kYJpaKKBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUVFcTLbWss7fdjQuevQDPauA+FV7qPiKy1DxNqV5ctJd3DRJamTMMKKBjavbkkf/rzSb1sUo3T Z6JRRRTJCiiigAooooAKKKKACiiigAooooAKoa1q1voWjXWp3QYw20ZdlTG5vQDPGScD8av1wvxK 8QfZNCvdEtNPnvdQu7RnVEgLokedrOfXHJ9uOnWlJ2Vyoq7SOu0rUYtX0iy1KBHSG7gSdFcYYKwB GfwNXKwPBF0954I0WaRHR/siKyvHsOVG0/Ljgcce2Otb9Cd0JqzsFFFFMQUUUUAFFFFABRRRQAEA jBGQar2NhZ6ZaJaWFrDa2yZ2xQoEVcnJwB7kmrFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFcl4yv /tE1l4VjuLmzudZWQR3sBH7ny8McjIJDD5eoyCcc0m7K44q7sVPFHxGs9H1e10PTFiv9WumMaxhz thc4CbsDnJI4BBwDXQeGbbWrbSFGv3sd1fyOZG8uMKsQOPkGOoBzz747Vm6T4a8L+AdPa8jjittk YSa8mcln6Z6nuQOB+VW77xdp0Olajd6e66lNZQpM1vA2WKsMqcgHgg5yM8VK0d5Mt2atFG/RVbT7 o32m2t4YXhM8KSmKQYZNwB2n3GcVZqzMKKKKACiiigAoopNw3BcjJGQKAFooooAKKK4rW/DOu+Jd D8u9vrex1a2vDLZXFk7hUTIxu/2sZ/T3pNtbFRSe7JfiB49tPA+mwu8ZmvrolbaL+E4I3Fj2A3D3 J/EjS8Iw6gujG61HVv7RkvHNwjKoCxIwGEUgkEDnkcegqvp/gbSLe3kTUVOsSvNJL52oKsrIZAAw Xj5QQK37KyttOs4rOzhWG3iXaka9AKSTvdjbjy2RPRRRVEBRRRQAUUUUAFFFFABWH4g8M2/iC50m 4lnkhm027W6ieMDJwclfocD8q3KKTVxptao4PxH8O5/FmrX02q63ciwMYWxtISQkL7cb2H8Rzk++ eoHFafgLwtP4U8P/AGK7kt5rreczQry0YPyKWIy2ATjPTOBxXU0UlBJ3Kc5OPL0MXxRc67aaQJ/D 1nBeXiypuglbbvjzyFOQAenXtnvitlSSoJGDjkelLRTJvpYKKKKYgooooAKz59FsLnWrXV5YS17a o0cMm8jaG4PGcHqevrWhRRYE7BRRRQAUUUUAZ17runadqdlp13ceXc3okMClThgg3Nk4wMD1rHvL +61PUlgW7fSLO2uYJYbzzEZNRQglo1yeO3Iz9K29Y0ex17S59N1GHzrWddrruKnqD1HI5AriNK+E um2Wp3Ivp5dR0jIks7S4kfNu5OWxggYPpjnjPTmJc3Q0jy21PRaKKKszCiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKr317b6bYXF9dPst7eNpZGwThQMk4HJrwzxV 408aeMdOjm8PeGtRtLK2nW4hvIg7NIMlQQMAHqDgBseuKmUkiowcj17xZ4r0/wAH6QNR1BZHRpBG scW3ex5JwCRngE1S8GeItZ8TR3d/faOdO01mX7AJciWROfmYehG0jGOv8XWs7S/hzZXkFlqHixTq 2srCBK0zkxqckgBe+M4569cV3dCu3djfKlZBRRRVEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAEAjBGQaAABgDAFFFABRRRQAUUUUAFFFFAH//Z