20240624 15055000 1.0 TRUE CreateFeatureclass "U:\PLANNING Division\Advanced Planning Team\Big Sur Area\.2023 Big Sur LUP Update\Mapping (US Census)\Big_Sur_Coast_WebPage_Map_Updates\Big_Sur_Coast_WebPage_Map_Updates.gdb" Rural_Community_Center_Lucia Polygon # No No "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WorkspaceConnectionString>DATABASE=U:\PLANNING Division\Advanced Planning Team\Big Sur Area\.2023 Big Sur LUP Update\Mapping (US Census)\Big_Sur_Coast_WebPage_Map_Updates\Big_Sur_Coast_WebPage_Map_Updates.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Rural_Community_Center_Lucia</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>RCC_Area</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> This is the Rural Community Center Land Use Designation outline of the Big Sur Valley Lucia section. This is represented by Detail C in the 1986 Big Sur Coast Land Use Plan. Rural_Community_Center_Lucia /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2Wiii u088KKKKAI54FuIjG/foR1B9azLizmgQy+cJFB5Gwg/pnNa9FZ1KUKnxAtHdGJNNIsTq1tKpK8ZQ 4/SsUybhxwfau1rL1PShcZntwFn7joG/+vXlY7LZVI81N3a6PqdFGsoybkt+xzuAuBj5z3PahyBg sTjPT1pTmPI2sHHXd1FIFOemT/eNfNtNOzO8NzEhcYJ9Ka5+cj0HWnfd93amZG7nHWkArtgYAz2H tT87Y8HrjApqAl2PWhs7goPzHrQAJjbk9BUkckiDKO6bsk7WxUSAnI6gGng9Tn61UJyg7xdmJpPR kUpMso3l2J5JYkn9afBGYZY5kByp6eo75/CmS5BBJ6N3NTDBVck9O1Wq01JTvqLkVrHUWSpNCJyw feoI9h7+9SQRAtJNj5n6e1cn50u0pHLIiZ4VWx/KrKandxAhpWmAHfjH5dfxzXsQxtGbSvYxtJLV GrcojbQE24/i7k0x+BkHnpzT5JIJbSNoJVcljkjrUABf14rrKi01oKgIDNnPHFOXITJOTTtv7vA5 4pqqF5zwRQUKeCDSNxycY7UZz2yM0hXJySBQABmDA4ycYUgf5xSAsxzjn37UoznP5CkIO/KhS3cn jNO4hZXwOBnH5VIGKovQcDoOpqJAyH7uTjqTT8huDncB3pjuRRhmDcd/XgU7aCI4Qc4OWxT/ACmM ZUjgnnA7U9JY1ACKMd+1Axd/lp9zaoHc1BJPKSBwoIzgdcUMXlfGcDOAB9aa5KyqTycYOPWgB4kb aIzgHjOKlA8sbmJ9cVBH80hK4Jx1PXNSkjHzDdt7npQA4L0LHnqQDwKQRI2SAxGfWjIkyzHKDr6U gMzjK8D3GKYjYooor0zzAooooAKKKKACiiigDN1TThdRmaMYmUf99D0rncbuSeK7Sua1a2EN6Txs k+YD+deHnGETh9YitVv6f8A6sLUfN7N7Pb1/4JnY6sOg6Go0XcxxzUswyoReppoyr7IkXpySa+et c7SQblUk4AHaqqh3kOGAxU0zgKVDZb6cCoo1xgetGwCo4iBBJbnoP88Cl87JyQQo6elP2ruI9BTj HtXGeD2ouBDKV2BlwQD1z1qTI8rkcHoKjeNTJgKC30qdI8bd3ahgRqAi5x83ajBwBzVjiikBUkjw wdMiQfxD1rbsrgXVvxw68MPesuXkDirOlDElwexVc/rXpZfVlz+zexnNJNNGluwcdf6UzjrjFAVz gDIFOK5yFOfc16wCZx059qaCzkHBFSCM92/KnEDaPagCL5y3T9acrKPr/OkYkkgcDpTcFCOp9qAH tIqkevtTQ+9sY+bqMc4oCM7gbRjuRU21FGVQD8M00IVJuCG4I4JphnUnG049TSMiYAKLjtx0pphB 4X5frzTAWNNj7kbjHFRy4MgRSWI/U0/ypIxxJuH+0cYp8SrEoY455yxxigaY7a3ALBQBzjrmoZ3V VWNDn1OaV38wnsM4A6VEINjKM8tQMlwwB9euc96m81VAG7JxzxUUi/uiQp696csYKKWzuI5waANi iiivUPLCiiigAooooAKKKKACqGrQCa1B4DKwwT2B4NX6RlDqVYZBGCKmcFOLhLZgm07o4+SJoZ2V yPlHUVA33TtyDnr7GtPV7R4ZkVAzKwIB6nH+NUYbC8uMlQAPcEV8fVwdSnVlSir2/I9N1ocqm3ZM rBDwoqwkO3knmrkelXCD5mQt3PNE1pJAm5yuM44rKWGqxV5RJjiKcnZSKmwAcAA0zy5NxbeM/T/6 9T4pAOtYGwyKI71UEZYgZNX30xzwJD9cVDbAG5iH+0K3wBXp4DD06sW5q55+Nr1KckoOxzc9lLbn 5uV/vCol6/KCfc10kiZOMZB61nXOnBsmH5SfXp/9aniMucfepa+QqGPT0qfeZUj9uOKv6TIpVoSq h1Gcj+Iep96oOAowvr1qTTSDdS5JBKjGD6Hn+YrLL5NVeXudtRbM2SwjGTksaTzQoBA59KiMYVd3 PPqc0oJyD+Zr2QH+cSTwABTt2Pmbt0qMtgng0MML70AN8xic4oBzjAz9TQo59alhAJLHBx04oAft 2oFzz1NLmg5NJ3oEKVyQfSmbuTtwfenPIVO0DJNRAO5wCAPagZIrZJwQccE+9NKsFIUKQTnB7Uo2 xKRnkmlyzYxhR70xCKI2facZx91qBGDOgB56nA6elODBjt4bFIRtORkqOuaYXGzjdGw+bPqT/Knx bfKXI7etBA4UZJPUntSrgIo44Hc0xmtRRRXpnmBRRRQAUUUUAFFFFABRRRQBXvYfPtWA+8vzL9ax k1XYgAjGPrXQ1yl5CLa9miH3Q2R9DzXkZs504xq03bo/0/rzN6EYzvCauty2dVbP+qH51Fc3puYw pQLg5zmqW8enFOtwk9xsdcgD1rxI4ivWfs+bc2dGjSXtOXYC4HHX6UoINXksImXhAB6ljUwsrReA m4/U1r/ZtXuv6+Rn/aFLs/6+ZmRSeXKsg5wc1fGqtgfuh+dZxHzkDPXpSn+tctOvUpXUHY6Z0adT WSuaP9qt18ofnV2N/NtxJjBPasAc5FT/AG6eOLarDaOgwK68Pj5KT9q7r5HLWwUWv3asyncbVGSe SeBVnTbbdunIIJ+Vf61XMbM/HzOcD0AFaETrFaxxBtzA5OznJzniqy+i+Z1GvQ6pNN2LRjYoFOOK aSi8AZPembLh+Syp6A8mpoo9qDdgt3IFepYLjG3YG1aMOE6DJpxdRk5z9KZG3mvu7A0AKEbaM4zm pUQIpGc018jAAyaXd8mCM0AOI9RSBgTjNM9gcfWgqQOMdMZoAUxqRwcknPWj5j8qfiajXKfNjtTd zEHNAyUbV75PvTTl+MgCoQkpcAAHNS+Sd3+vcEdkxTETKm0cdaepYg4ANMihk3czMfYgdacodJF4 +pFOwAuRxjpyPpT0i2oApx9Kcw34YYDLyDilDyf88yPoR/jVWAv0UUV6R5oUUUUAFFFFABRRRQAU UUUAFYWtWjiT7UvzIcKwx930/Ct2qmpqzadNtBJA3YHcA5/pXPi6KrUZQf8AT6FQnySUjlSeRnoO as6TGJbslum0/jUBQMcmrNnIkMpLEgbcDAzXx+FklVjKR6GJi3TkkbZWKMZIUAetY1yzG4cxh8HH 3QfSrIubU8uXf2xTze2jDGw5/wB2vZxE6FaPK52PKowrUpcyhcyd7Z4GPrT1+Yc9aadqkngComlY sNowK8E9omJAOO9IFM0sUaZ3M4HSo9x3DI564FHDdenqOOnerpuKmnJXRMk2tDoXsYLS1WMrvdjl if4qYqhflUAD0HSsu3vmtovLYGSMt3PzL6/WtGOeOaLejgqeOn86+gpVYVFeDMo6aNWZJuXvTGck 8cD1oJGOpx6YpwXI7gDnFaFFcJuzzgDvU0SBIwKAobI6gdqkoAa3C5BpqqSCTwT3pzMq5yfrTRKh GQTjp0oGOI4BzQvy8EZHemllYYz+FKHDEgA0ABjHGM4603ywoPH4U/eu3B6daN6EgZ98UxCgBRgZ GfSiNQBkjA7Cgrg9OfenOQqqOQM0DB3K4Cgls59qd82ME898VB5LPKsofGOgIp3BONzMfbimBMMD qT+dSA5HpUIAGccClCkAZJH40AaVFFFeoeYFFFFABRRRQAUUUUAFFFFABQenNFFAHGrjaKXevTNP uYDb3MkLEEr3H0z/AFqDbuPcD9TXwtWDhUlB7pnrRalFNdSUMCeDR05pgHQDoKSQ/LgHj61AxpIe Qk9BSLyTgUmSSR2x2pY+SQOlIBGyGPXJFO6DB9PyFIMGTPYd6djccnp/OgBGyU3HgZpscskWTHIy 85wDwfwp0p+UE8egqLJrSnUlTfNF2E4qSszfguYp13I+SOSo6jPrUpG8AEY/GsjTWC3DKc5ZQR+H /wCutQHCHtgHHua+hpT9pBT7mSvsx7FY0HH0A71G7HysHIbFODnIHq2P0pcMTnBz71qUQKAx29m6 +tK6KhChs98VKYpHfO3b/tZphURqSX5HqOaAI356Z46e9KHKxtk5JGATTxG7gEYxj0xTSriIR7Tm gBSQY169ulB/1uDxx+X+RSyORtjVQR0wRRt3SsFB6YJoGSxyscdSPanu6btrMPoab/qxkkk9gKqz ZZmLZXNAiywaVuflQdgetPUcY6KtVF+QEoTx3Pc1YVsIqndvPXFFgJQQ3T60m9u1KUIGAcetJ8i8 MwB9zigDTooor1DzAooooAKKKKACiiigAooooAKKKKAOb1gY1JscZRe3XrzVHAPv9K2tZtriZ1lj iBSNDlg3Pr0/D9a525u1tEUvkhuOBXyeZ0JxxTdtJbfcrnpYO9WChHVosnhfSouNvJ4HAqWwzqEB mjIVQ23DdTTZI2WRl7g81xTpTgk5K1zRtKbg91uRZHpx7UBguQBlj0pvOcfpUqIVYsRyayGEcZAy +M+lO35OFHHqaZI+47QeO9N3BV/CgBr5ZuvNIKkCgAFic+gpwTdzggUDGIzo4dThhyD1rbtme4t4 pGK5KgkisjYgPU1Pb3clqNoQPCGJKk4Y/jXpYHERheE3ZdDKas+ZGh5cw5Vkdd3RhjP40nmSK2DE 4JJJI5FO/tWzEYAt7jPc/Lx+tW7ObTrr5ElYSNwI3+U160akZaRafzI5kU8yuSFzj1qaKLYNznJ9 +gq5dxxxsEhHzj73cCqrRB+WckenaqL3IXuCWKxg59cVIsTAbpGJJ/SpERAuVwAemKRyx4VgAO9F gIXB3j5SQORQu5VIUCNe5zTiwRDk5/HrTRuaMY6dsnNIAJ/uyAegyaYoHOSGC5PWnthTgAkjnp1N RhgqSE4wflGO9MByEMgJzgU4PuOV3AAcY9TUakbOBjI6GpFKjLnC4OTmgYk5fAAY+wzzUOCPvR5P vmnlszs244A61IhwuCQaANqiiivUPLCiiigAooooAKKKKACiiigAooooAjnEZt5BL/qyp3Y9O/Su KvLJLxEG9lUHIOOtdzXPapaC3ud6ALFIMgDs3evKzelKVFVIbx1OrB1nRrKS6kWi2iWdiVDFvnJy RVS7Y+c2Om41Ms8sabFfAHbAqpO24jJyTzXhV8TGrSjHqjeNOarzqTd+YaCMj0zTmZ+e3oBToowA GPWpe1cZsQRx55YU/wAtQemafilxQBH5Sddo/CjylPdv++jUlFMBpARc46UzaQvzH6mlf5jjPC8n 60wnIHJoYCk/L7nk06KRklSVcBkYMMjuKacZ57UgPzY7U4ycZKUd0JpNWZfvtanuoBAI0gUNlmiJ yx/pWYmEcSKAGznJ7/X1pXGPrmkBI4reeMrSkpORKpx6mjp8jSu4xhwQSw759qvneuAAQcZJrEgu ZLWXfH8wOAyccita3vkvCyoGDKASjDFexhq6qwWupOzsyZojIvzIRnHIanbBlB/AoxUcjySFgflA GODTN22PcBgcbeP1rpGWGUHACjn9KjceWoClVUd+pqFUlcFlZsemetTJFtdTIB7AUgHxRkfMzZbH GRjFK2AvzAtg9PU07PrgUjcA44HUmgBVhjySy8+9NKKT0P51Ip3YOOMVE8yq5AYflmmBr0UUV6h5 gUUUUAFFFFABRRRQAUUUUAFFFFABWPrijMDhXLcjP8IHHX36VsVl600nkqoj/dfeZ8Zx/hWGKXNQ mvJ+Y07ST8zDYcg/hUfk85PT0qYkFcjkU05I4OK+HtZ2PX3SYoVjnaCSB0FI0dzjiFgOnSpbOSG3 lYurNkdqvjUbdekT/kP8a7qNHDyhec7M46tWtGVoRujGYyK2zB3Dg8VtXeyOzkG4lsDPfHNZ0riS Z5ADgnOKtXV7BNbsgRlJxycAVeHqU4QqRb32/EmvCc5U2ltv+BQVgTgU4wyyAbR8p4JFM3LitCxf ZEH6jfgY9cVhhKKrVOVm2IqulDmRYghAtFUj7qnIxjFYnJPIwK2hcxSmWIo25QSeABWKp+cDbiun MOW0FF7XOfBc15uXkK/GB600Als/zqR2CD1J96iLt/k15p3gEOcDOSeTTyQDgDJ6URnAJPT3qMEs 3HrQAqZPX15NX9NZTcSLwGKgj6D/APXVLHQZwB1NSQhFvYWfO0Ag4NdmBly115kVNrmuqZZ+rZ74 4zUjI6x4Vfm7Y6UoQL93PtzmjnftZzXvCAj5QD2pg+Z97EnHQelSKNwz79vSkYbGAA4PNIBxGcHn AqGQyGTCD5R1qSZyqEL1PfPSomfHyqenU0wInkmLYyV/SmiJm561YV/k+T5jRhzztA+poGbNFFFe oeWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZl/psLRtNEojkX5mx0Yd6xZozDKyA8A966O8nRYnh DAyMuNvoD3NYsIF3eneu5T26V4Gb0oSqQUfieh14afJTm3stSlxjnn8Kj83+6K2ZrOAkRrF8x/2j SjSYAB2ri/syr3X4/wCRH9oU+z/r5mKZCMUwDcAB9WJreGm2275tp9qivIIYrZjHCM8YINRPL5wi 5NrQuGNhKSik9TLAUDgFqEupYywVVKg8ZzS4ZhlvyFRq4UuMgfNxmuSnUlTfNF2Z1ThGatJEkc8s bSOAP3mQc54qKL5csTT/ADFxjdn8KaPvY/E4qZTlJWbCMIx1SHHDHJOMetJgjufanDA78CkJxzvH 4CpKEIIHJ/OljXGSaYWUnrk+4qQY8vNACjAGf1qKU7scdae2WIXOO5pq/O2ew4GaL2AnsLs2s4Ds TG+B8zcKe3WtoBS+VOSxySOwrnjt3YAGB7davadePYOMqHgb76EZx7j0r1sJjU0qdT7/APMyceXV bGqBgYzTWzvHpVya5t5rQm3EeSRhgRx/9f2rPIjViRJjHU55NepYE76okl5Cr5gUZ5J61GzQdN2e 2f8A9VR7yWyq72Pc84qSOJtwLqg9x2oGMN5DESir064/rUZuXbDA4B9qtBFRSsYUYwOKHliQ7W5O PSgEa1FFFeoeYFFFFABRRRQAUUUUAFFFFABRRRQAVHNCs8TRvnafQ4NSUUA1c52FVtru4USF1TI3 Eck//rp8ELJfKXYHcCflp2pWhtG86KRsSucg9j1/pVTT3k+0gb84BwG/lmvm665MWoTWt7rtudl0 8I7dDaCImTwM9zSM4jBwcnsvrVC7uljbypUcM3K4GRj3/wAKT+1YIvligPv0Fds8TSpu0panlQw9 SavFGfJIfNfeuGLHgHOeabuI++Nvoc0rSAcngntTSS4IGRkda+abTZ76VkDsFjLA544NRcovyg+n PNLsOBvOfm6A8D8KdkE5Y9OOlDGR7mxyv6UsQyxPtTixPQ/pQFK+5NSASt8pA5pgwFz+FKwAUf5z TcFshRnFADvlx2/KncvtwOBTBFJxkKB9anUYAFAEfKks3U9KQcbVzz1NTmm0AMQAAZ60pO5h6DrQ zoPc+1GC309qAGySeW6TKPmjO4n29K2VKSAFI92eQelY7phTVjTJ3hZot48kDcA38J9Aa9XL6/8A y6fyM5LldzZRQo54PekwZDgZC+3eoPtLEDAAB/A1Ks6hcAMMdSR/OvVAXcN2zaRg/h9ah2SvlgAM mrIBZS2OccUINq4OSe9AGlRRRXqHmBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADJYY50KSorr6EZr nJI30q8IxuXHyE9xXTVn6tbLNaNJkK8QyGPp3FceOw7rU/d+Jar1LhJRfvbPf0MO5uGuiucLjjg1 EqYpAO5pxIRS1fHynKo+aW7PTjBQXLHYaqh3LHnHApxJGAMEn9KZHynOaikfc2BwopDHSHJ2q2cc mmAsc96YOvFPAIODxSAUycnH4UjSM3H6CkOS/HTtTlIDEkfjigCTyw2N3THSnjagwMAelQMWk42s F+lIkLDPFAFkEHoaDgd6gxjjn8KaTkZzQA8yMW4PFNJHrSBWY5wcetSGIdSaAEVTgccdqk3qvVsm mkeqkmgbB1XFACPISpG3ipbACWWRCQuNrZJ69ajYKVJHJq1pyoVZmIwTx+eP6V6GXJuq32RnPojQ WNBwmHOOT1ok2hMAcseg6mm7Q7EAKFB42mnEFPlDbs+p6dq9m4DiXjUEPjngdajKSNyHYg991Skq vQ5foAe1V3i+c4DD6HGaYG/RRRXqHmBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWXrMdxLFGsUZe MHLBRk57f1ooqKtNVIOD6hfl17GAZChwUII4IPGKaQznfJwo7UUV8NOPLNxXRtHrp3SfexG7F+gI HpRjEWenNFFSADaFBIOaCwLcLxRRQBIibiSRj0FSgAdOKKKAEHXFLmiigBvcjtSHG/GO1FFAD80n aiigAyMc0cHnrRRQAxwAhPSrWnxZhbcrZLZx7UUV6mWxXvS9F/X3Gc/iSLgUBxuZevc1KsHJZvqA KKK9UAaPLZBximjYgwxOfQGiigD/2Q==