20190822 15590300 1.0 RGDW_Publication_1.4 TRUE Using the hexbins as source data to establish a line from each each hexbin (origin) to each employment center (destination), each line contained employee number along with it. Each origin-destination line was buffered by a quarter-mile (the same width as a hexbin) and dissolved together by employment center. Using a classification method of Natural Breaks, the buffered line results were assigned 5 symbology categories - each with its own color - and dissolved into larger "bands" (boundaries) for graphical display. The employee counts from the lines within each band were summed into an overall employee count per employment center. 5BM Regional Vision Origin-Destination Bands Each origin-destination line was buffered by a quarter-mile (the same width as a hexbin) and dissolved together by employment center. Using a classification method of Natural Breaks, the buffered line results were assigned 5 symbology categories SANDAG SANDAG Data Disclaimer: https://www.sandag.org/resources/maps_and_gis/gis_downloads/disclaimer.asp 5BM_Employment_Centers_OD_Bands /9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAqXOpWdndW9tcTrHLcEiIMCAxHUZ6Z56VbrnPG+inWvDcywoHu7b9/bjGdzKOV9wRkY965Hwp4lvdQ0SbTUmmeWSF0tm3hXB29EY/xKSOGIBHIIxtreNHmhzJ+o7XRd+J+taxoE2k3mm3TRxkyKy7QV3YGM+vBPHTis8/FibT98VzpEsik5tpGYoXj7ZznJx3rK1nxWni3wYLTUYDHqlrcI+EH+sAyrEDscE5U+mR04q+JdMe70nSJe6hYpGA+7wBn9F/E12QpQ5VCotdS7LZnX6d8UYby60mGa2ii+1CQ3OJM+TgsFx65Azjr6DkV6JXzBZXKaTrS3Bj837NIxQHuwztJ/HBr0TQ/i2YLAprEUlxcmR2DxqFVV2jaPc7s+nWpxGEe9NBKPY9TnvIreeGJ87pdx4xhVUZLH0HQZ9WHrTL3U7HTlVr27ht1Y7Q0jBRn+n/1x615VN46W+sZdQnhH2to1iDqNyW7cldiZO5sknLEDK8fd5raFZanr2uWLakGmZ4xLL5o2iG3yBg8fKSq4HqGJ77qxWFsrzdrC5e57QCGAIIIPIIpagtbi1uIVNpLFJEBhfKYEYBI4x2yCPwrK1/xXpfh2LN1I8k5+5bwrudvw7fjiuZRbdktSLG5RUFlcG7sYLkps82NX27s4yM9e9T1L0AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvF/Elp/wi3jeSPAGn6gTcRAYGxye393DDqOgI68ivaK4/4j+Hv7d8Ms8SA3VmfNjOMnb/GB+HP4CujDTUZ2ezKi9TH8KaLpltZy3cq+bPdn960vJDdHX06knj6VZ13Ro00dxbK8gWQMYsbyVzyVA544OPYVifD/AFAPHcaVcu8kgVnaBvvB1649+P1rsr1ooo49iNsULtO4g5Yj39KzrfWKddtO6Nb07We54rrGkyQ3KyupQMgeY/woe4Hrzx9ceorFRwhPy5B45xXu+ozI2nPJcBWYxg+XJgopPqT7c+x+leIXtsEmlkt1LWu87HB3YGeAcdD7GvVwteVVPnVrAmujLdlqSWeX+V5VRvJbkeUx/iAx9/rg544I6Ctqy8UwWelyR21hJNqN44824ZicKowFVcYyASA3UA568VzhvocsU062jYptGxpMDnryx5xx6Y9+aVdSMUDpDCokYt++b5nVSMYHYe5/LHOdpQUt0Fjem8ea7CksNuY7IyLsPlDDIoOAoyflxjA9B0wSSefWW8vrpysrPNLy7Dgsce3XpTdPtUu52WWUxxohdmCFuB7D9fbPU8HvtBtNB1fULezhAkeNMKIosvKAMnaD8qDg5MjFj3xkATJxpK6QtEdL8LNZluNIOlS27KbXd+9Ktk5Yn5uMA8gDnt7HHoVZttDcxRGO1tILOMtuzIfMZiepYA8knvuJqxHaOJRJNdTysOQpIVQfooGR9c149WSlNyWhk9WWqKKKyEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFIQGBBAIPBBpaKAPGNasx4M8c2eoQI6WqyrHIx+75bDj/x3cvuYya9Cvo0nkgO4GFT5koBHy7RjH45xUHxA0mO/wDD887qW8mJwVGTwcENgdwwU/7u71rmdBh1K6lW2dmt5HhjeZpVzuYIOB7nn8qWPxcqdOE4q8np/kdeHoRrXcnayudDqVrHLod2kpR3kUtgru2HkgEjvk151b6LDG63AD2Y3DsC7ZPQdx6fn+Ho0ttcTaZDbwyLI7jcyM4DYB4wM9/p2rntQ0jWoFllTTs7I2IlDqxHH8I/L/IwejL6kvYrmer8zKrZTaRyGo6JZRm6vNQuUhJb93Fb4AUdh05OPp61yJxk45HbNamrJezyLNKkoi6RqxJYgdWIPOT159R2xWbFK8MqyRttdSCD717VNNLVjR3vgr4fzavANQv7aX7MwBjieQwiYcEHIBJX6AdsGvXNKtLXTU+y2ukixQ941XaxHqVOfxbFeW+E7/Qrj7KI5LyLU4+TA0wSFznjG6RSe3GcHH3a9Qj1HUmeOOTShGzgEOZtye4yqnB+oA968vFOcpWf+RnK5q0VUzqL8bLWHrzuaT6cYWp4RKsQE7o8ndkQqD+BJ/nXHYgkooopAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADJY1mheNgCrDByM1wUl0I7hGLgMS2JFJwwwCCPpg/nXoFcfr3h+2iQOTI9vK4QoAq+UT0bcACR2+YnqK48ZhpV4e5ujswdaFKXv7MsaPqKPaqUZpifu+pHrzVnVria3gllUReQkbGRnJOO/T04rKsY2j2iNQPLwBnnp2P+e1YHxKmlTSYrtHd45ZQmwg7V4OQef8/ynK3KslTk7bF4uEY1LxW5yl548klkJh0+Dv8ANMit+QxgVyUkj3EzyysC7sWY4xkn6Ukj+Y5baq57KMAUyvr4U4w2RzpJGhJprG1F5Zh7q3UAykRn9ye4fHT2PevUfBXxAsrhEtNYZrWZANk8lzIyS9uQxOOnrj6V49nHSlLFupJ+tTVoqpG0gaufVUU8U6b4ZUkX1RgR+lSV83eGvFmqeGrpTaXH+js2ZIHG5GH8x9RzXvmheItM8RWf2nTrgSAffjbh0PoR/kV5NfDSpa7oylGxq0UUVzEhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVXv7QX1hPbE7fMQqGxnaex/A4P4VYooTtqByhivLTUSfs0rE7SwRcq27PQ4x1B9xxnqMp4Ws79JbuPVrFy6TMscspByh6EY4IPtyM4ORzXWUVFKnCkpKK3/AA9DWdaU0rmBqPgnw3qmTcaTbhiMb4R5bfmuM/jXL6j8HtKmy+nX1xavnO2QCRB+HB/WvR6K6I16kNpGak0eZQ/Byy+ybLjUpvtGCN8ajbnJwcHtjHHXjr2rTsvhP4ct7Vo7kXF1MyqDK0hTawHJUDpn0Oa7qiqeJqv7Q+ZnG6X8MPDemuXkgkvWJOPtLZCjnsAAePWtO28F6BZajHf2dh9muIzw0MroD7EA4I9q36Kh1qj3kxXYUUUVmIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//Z