MILEPOSTS_JUL26 MILEPOSTS_JUL26.DBF FDOT Feature Class44311 OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. SHAPEGeometry800 ROADWAY Road system designation used by RCI as the roadway identifier. FDOT ROADWAYString800 MILEPOST Mile post number FDOT MILEPOSTDouble8388 TYPE All values should be equal "MILEPOST" FDOT TYPEString800 ID_MP Calculated based on FID FDOT ID_MPDouble8388 MP_RDWY Calculated based on fields MILEPOST and ROADWAY FDOT MP_RDWYString2600 MP Mile post number FDOT MPInteger4100 LAT_DDLatitudeGeoPlanLAT_DDDouble8388LONG_DDLongitudeGeoPlanLONG_DDDouble8388MGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.orgGeoPlanMGRSString1500GOOGLEMAP Webpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000DESCRIPTFGDL added item based on NONEGeoPlanDESCRIPTString2500FGDLAQDATEDate GeoPlan acquired data from source.GeoPlanDateFGDLAQDATE800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0 GIS Section Manager Florida Department of Transportation, Transportation Statistics Office GIS Section Manager (850) 414-4848/Toll Free: (800) 399-5503 Transportation Statistics Office, 605 Suwannee Street, MS 27 Tallahassee Florida 32399-0450 US CO-TDAGIS@dot.state.fl.us 2026-07-04 ArcGIS Metadata 1.0 0.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature Class Florida Department of Transportation RCI Derived Mile Posts - July 2026 20260704T00:00:00 Florida Department of Transportation, Transportation Data and Analytics Office (TDA) Florida Department of Transportation Tallahassee, FL vector digital data State of Florida This dataset contains mile post markers derived from the Florida Department of Transportation Roads Characteristics inventory (RCI) dataset. This dataset is designed for use with the ETDM project and is associated with the other layers RCIROADS and ROADIDS. The FDOT GIS Functional Classification Roadways feature class provides spatial information on the assignment of roads into systems according to the character of the service they provide in relation to the total road network. Sam Palmer University of Florida GeoPlan Center GIS Specialist 3523928686 Architecture Building Gainesville Florida 32611 US Florida transportation Florida Department of Transportation ISO 19115 Topic Category - July 2026 transportation Florida This product has been compiled from the most accurate source data from the Florida Department of Transportation's Transportation Statistics Office. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation assumes no responsibility for any use of the information contained herein or any loss resulting therefrom. THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. FDOT GIS: http://www.fdot.gov/statistics/gis/default.shtm Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A) true -87.5869 -79.873 31.042 24.5085 publication date 20260704T00:00:00 The RCI is a computerized database of physical and administrative data related to the roadway networks that are either maintained by or are of special interest to the Department. In addition to data required by the Department, the RCI contains other data as required for special Federal and State reporting obligations. The RCI is maintained by District and Central Office personnel. While there are many other important databases maintained by the Department (several that contain more highly technical data such as bridge specifications, highway design, or pavement) the RCI remains the largest database with over 1 million records. (Chapter 1 – Page 1 RCI Office Handbook) 1-87.586886-79.87304631.04202124.508491 The data set was taken from the Florida Department of Transportation Statistics Office from the following webpage: http://www.dot.state.fl.us/planning/statistics/gis The data set was originally downloaded in July 2026 as the RCI basemap. Specific instructions, created by FDOT, their consultants, and the GeoPlan Center, were carried out. The data set is then to be updated on a regular basis. The data was originally in UTM Zone 17, Nad83, units meters. -Project the shape file to the standard FGDL projection (EPSG = 3087). GeoPlan 2026-07-10T00:00:00 University of Florida - GeoPlan Center Unknown Spatial and Attribute Information This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0 44311 1.0 24000 Unknown 2026080509504500FALSEArcSDE ConnectionMILEPOSTS_JUL2600257663.583800793917.09560062549.309100781513.9338001ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/3.7.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>-1042.24225875</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>20260805104804002026080510480400 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD27Psa ADPsaAAHNAC0AFABQAg6mgBaAEZgqlmIAHUk9KAGefFjPmpj13CgB29c43DPpmgBcjOMjNAC0AFA BQAUAJ3oAWgAoAKACgAoAKACgAoAKACgDPvJgNylRuI7imBQpgFABQAUAFABQAUAFABQAUAb9SAU AIPX1oAWgAoAKAEHU0ALmgDl/iLb3d18P9YhsY3kuGhGFQZYqGBbH/Ac1dNpSTY1ufLP2qZG8tp5 v90H7p5xx7cV3OxZNJqd/JOZTe3W9/mZzIwJ+vNPljskOyFTV9UDl/7RvW5wCJm3Y59/SkoRe6uK xO3iDWE2LHrF4QoyF85sD25NHIr7ILDh4n18YUazfYIOcTsMij2cdNAsDeLNeWMx/wBs6gR6+e/H 6/5zQ4QStYLIU+LfEDLzreo4UYANw/T86Xs4dgsjpPBHj3WrPxXpwvdRubm2eUQSRzSkjDnrz6E5 /ConSjyOyE1ofTNcRAUAFABQAUAFABQAUAUNY1rT9A0977U7pLe3Xjc3c+gHc+1NJydkAzTdf0nW LZbiw1C3niZtgKuM7vTHXPtQ4tOzATUFVZRjqRzQgKdMAoAKACgAoAKACgAoAKACgDS06/N7aGeS Iw/NjDH2H+NSBcBBGQcigAHHFAC0ABIHWgAoAQdTQBSmkLX8aDopp9AL1ID5Z+KAtl+IepiGza1R JV3KeC7FRlh6A9R2xj1rtpr92i1sc7aadd3tvcXUUJ+z2+POmGMICcDqeScdBzxWjmlp1Hc9f1b4 VeF/Dngu6v73UJJL1bVjHM0m2N5MZG1R16Y6nrXNGrJy0Ju7nP8AhO28E39nrmo6utvZiO1EMdsZ CX3bMtIm5uWJBwO341VTnTSQ3c89e3SVrmS2YNBDyDKVVipOBxnk9MgZrov/ADFBPp19bRWzNayi O4jMkJIzvQZG4d8DB/I0uZbIVypnGWwwAI6D/PFO/UCe1Es10qWu55i2V2jkH1FPnSHc6G38W+MU kaBNa1XzP4lMzMR2PrWfs6bWorIuR/FLxsEiMerSlIcKzGJCDuzjORyeDj6VDpwbskKyNCw+Mni2 3uHkubmC6QqwWF4VUA9jlRnj60PDxtoHKi7b/HHxCun+XLDZPdeYMTGM4245BUHr05pfV473DlLS /HfWEt2V9LtHnV/vDcFwAcjHr70OhHdMOVFm1+Pd3uVbrRoSCcFo5Dx+HNJ4ddGLlO3h+KOj3/ib S9J0zF3HfLk3AYr5Z5wpUjOeP1rL2TUXJitoX9Y8eWvh3U2t9a06+tLMttj1DZvhbjPJHI79u1So XV0wscZ8aZodU8MaJe210z2c0xICKSHUr978Bn861oJqTQ47nicE725WaKcpLG6uijIORk5HbjHe ut6uxZ7F8Ldb1jV7zVF1fUZbmSJY9iPJuCjnkY49K46kUkrIhnpVZEhQAUAFABQAUAFABQAUAFAF m8mZ5TH0VT0pIBtvcSQkhBuB7UAXhexFQWBU+mKLAVpr1jLmPgDgH1osBWaWRzlnY/jTAcLmUBRv OF6CkApupjJv3kH0FADWkZ5TJkButMC3LqDJZuYlWS4CnYpOAxxwCe1KwHiuq/DTxB4n1K71jUru ytry4k3eSu51AAAHP0HTmuiNWMVZIrmsT2fwdcRCO81xzFuDGKCLC5Axnk9cd8Ue3s7pBzG7dfC3 Q7qCKJri/wD3a7UzOWA+gPA6dqhVZJ3QrmZc/CYKJpLHW51uHGA08av2xyetP2ias0FziZ/As3h+ W4bxFbXTWflMYrqxAkCyD7u7PIU47itXV5rcu5V+xharm1j0yS3WGB2ts/6Ncs5Ocg7uTtPXgY+9 VwSbY0A0XUf7NnmbS2ZBAtz55bG2POOnfJB9+KHUW4XKVkzWV7a3cyYVSJFIPDYP+IIqpJtAzt/D s1u13Z6bqbppqvbGb7VOQcrjK474Pp9KwnDrHUTRn63qFpptn/ZcUdtdl1y13FKHWX5GUE5GR8xz zzTjTblcEhYntruyBii+z/ZYBcs0uPnVWAwMZJJzgA47UcrTtcLDpHlsLTSp5dHDRX+57aViCXDM Ryegb+gFDXM209gLPjL4aX/hrw8ut3EkLNLN+9t4j8sO4/LyfvenTFEKql7tgTvocAwydw6knoeP p0roa6lF7R786fq9ndh9vkXKS+aMkqFb09OtRJXTe4men+M/iNa+MLgaNZwgaQjeZNPMNrPtB9eg /XisI0nBc3UlK2pl3+qf2hpelaPdXCPa2RVI/KfYoUjadx79un96hLdrf/ggcw+l6a0gKzGMNuCr 5q5znHfp8pz+GK155JDudX4B+y6R4pMFlKZDewvBHISCGK7HJ/mPwFY1G5R16CZ6nHHqMZO3+KQk lznAycY/SsCTWPWmAUAFABQAUAFABQAUAFAG48Ucn30B/CpAaIERT5ahSRjNAFRbRzcfvSWQD71M CrcJsmYds8UwIqACgAoAKACgAoAKACgAoARlDKVYAg8EHvQB594n+F2mX9pc3Gkwi3vmYOE3EI2O qgds1rGrJaNjued2WhanqkUmgKbyC5t5GnuI55CILeJVPJB7knr7+9buok+Yq5kWGh3eqxRLYOkj zXQtxFjB3YJUhjx0DcZ+tU5JO7GT3Wj6r4T8VWlrPawnUVZGjicrIjlume3p1pOUJRbQXQ/RLK78 ZeLFjuLiHz5n8x9/yq4HLAbR6Um+SPui2R6mvws0tfDU9myI2pN5jR3Ssy4J+4p65UccfWud1W5X ZN9TjfHnhy58OaXa2NtLP/ZqlN5lmDLLcFSSY16gckGtqUuaV3uUnc2F0yXxN8PLiTX/ABNPbXGk YBtJo9qQ44TcOrllIwffHNQ5KE/dQr2eh5nLoep2+ntezWNzHahthuHgITP1IFdKlF6X1L0M0Z25 24x6DpQtthF9NTuY7c26MkYaIxvsUBnUsGwfXkd+fyosr6+oGlo9/dXX2TTSs7NZ+bcWSW0al1n4 YM2eoGzn0rOcUncTRjThriczTZkkk+d3PJJPPJ9ea1Si7WK0NHQtRl07V9PnLuqW1ysgBY4AzhuP fipnBtPoJo+nlYMoYdCMiuAzFoAKACgAoAKACgAoAKACgDdd1jXcxwPWpAUEEAg5BoAo3dyySBVy CPyNMCi7F2LGmA2gAoAKACgAoAKACgAoAKACgAoA8n+JUt8viS38rTZ5I1jAaS33AzxE/PGxA9cf ga3pWs7sqJF4lhF5oeE8BXWkQJF55mhlVWDqCAWyOVwTxgGnDf4rjRQ+HvgaDxB5mp6u1xJBHtEU ZBVZM8/e6kDpj9adSq4/CDZ6taeGNEsb2O8tdMt4biNNiPGmCB0rncm1a5FzWpAYninw9D4l0V7N zsmUiSCX+5IOh+nrVRlyu407Hjni20v9NeCw1CK+fVLk7rqdbjzUu0X7pAxxtweO1dFNrdPQpG34 4+IFvqfgLR9BsZTJK9vH9vLqQylAo28+rAnv0HrSp0mptyQJanl25WiT5QuBgkHk+5reNrDGhVYE 4AI43ZziiyaGXdPlvVuZIbS5+zi4jaOTfIIwU6kFjgc4/p3pSVtZdBGlNrEv9gT6Zcw2zxTGOWJo QgZWTj5sc8qWznnoaTheT/roFtTFNrMtuLswstu2QG2naxHUA9M88/WndJgfR3gTWBrfg7T7k/6x IxDJzn5l4z+PB/GuKatIhnR1IgoAKACgAoAKACgAoAKANhZ4542AwTj7pqQM3z2WTKEqoOQPSmBM 8qXBCORuOMMB09qAI5LOSMkAhu/HpRcCvTAKACgAoAKACgAoAKACgAoAKACgBGVXUqwDKeCCMg0A AAAAAAA6AUALQAUAFAHNeJdO1EXkGuaTtkvrSF4oomQNy+BvGehUEn3xiri1azGjx/W7S2n0a1YQ TXXia7nmuLlucrEpPBXoOm76D0rpjdSdtikc1HGFtFui8LkybPIOSy42ncR6Hp17n040bcny7FFM nLOvIAGcAZx/jRvp0EPCEhyQNyr1Jxnn/wCv+lOzTuM1J7SO5tdOttOvHv5jG7yWyW5UxHqRn+Lv yM1mmr9hFqXVdWTwk2jTpb/2el3lY3UebDIQSdozuA6gnGKUYx57h1Ov+Fer3OkeILjQNQjeD7SB JGkoKlXxkcHplf5CorJSXOhS11PZq5iAoAKACgAoAKACgAoAKAJIpmhJK9SMUARk5OaAAHByOooA uQ3HlAmQliw4pWAqMcnOMUwEoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAPP/GXhu81PX9N h0iBbMzea1zfxRncoI2sGPQ5B6Gtqc0ou5SZzfjb4c23hvQ49QsLhZIERYpY5H2yzOSctjkEZ2/K B261dOq27MaZ51dWcCyWotJlm863DuGwoRuSV69gB1rVPdtDKZzg8gA8MM5A/wAaqQ2egaBZ3lx8 OdQv7PStN/0CYPJfSSMLj5NrgJ2Hy4X3zWMmlNL8OhL3K3iSzurrSG8Ww2Wn2llfyoiwxvukjdSR uAIGM7Dn1zTi1zcjeoeRiXuoQQ6xa6tps168iFHklu3Xe0w5YcY46CrjHTlkPyZ9D6DrNvr+jW2o 23CyoCyHqjd1P0NcUk4uzMzSpAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAedfFnR0m0E6okDSzxFUJLt+7XOcgDj2JNbUW+axUTxvTWSzvI72azjvI IpMPFJkIxIO0MR2z29sV1Sj9lPVlMk1o2ZvfM061uLWB4wyxTNuOTycf7PpSg5curBXKkd5dw27w pdSpby8yIr4VvqB1/Gla7uwLct1DdaUWuI5ftKn5GQnDsWBJY9OFyAPfNS0+ZWEXfDsunC5Mep6f NeRyK0cMUG0SCRhjdjq2Ow9aqon9l2Gzvfg/qK2t1qej3dy0VwXDR2sgwQwyHH+8OOPasa/vWkiZ dz1uuckKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAo Ay/EOsWWh6NNe6hDJLaZEcqx43YY4yM+macU27IEfL5+VWRC4BOQpPGfp6138pqXrK3v9evbexgE lzcGPyYYyeiDcdo9APmNL3IpvYWhp6UNOMdpHdxwCBC32syHD7gTgL3xjHT3zWcm9bb9BE8droFz dFWnS3tvLHyCTuGc8nucAD8alc8UGomlNolnfJLJMfLADMfNIMQK5Oz1YH8qcuawMt3V1pVr4skz qOoQ2s0y3QnhCTTiXJwS2echiTg9T3pKLcPMLaH0DHD9nhij855gEXEr/efjqfeua9yBaACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA8r+M+sJFYWOkrM v71/NmQdQBjbk9uc/l7VtRSvd7FRPIQYBYtC0S+czqVlJIJAGNo7dwc+1b21XmUdh4L8Tw6I+nfa rMGCzupbgzImDJugdVjP1bgfU1FSD6PcTRl6/NYSXeqSy2cukXTGM2+npENijAByxIYZHzdDkmmt LK90BzxB3A5OT698D9K16lHf/DqawlE+ly+Eo9bvZgZEZ5VUxoAAcEg45PWsqqas72JZl6z4VXTv CkWtNJKs6X0lncW5jz5LLnByMen8vemprmalsFz1v4XzibwHZYcuUZ0bJ6EMeK5qitIl7nY1AgoA KACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAPA/iZANU8VT zQPGZPMNqFHqigk5P1reFlDUpbHLTaBqNsd8luVO/BJcZBJHbr3H51tzxvdFXRNNZ6tZ6Xd2+GW1 yskyowOSm5Qc+xJzSbje4tDJB3ZPLA9Cec1qkumxR1/w+03R9X8Qi01iGa8WbMUNvCTuV+PnP+yB k9axqt62ZLN/xXYJ4OW00PUrJZoLe5NxY3sfyNPESS8bkc5+brnjA7GlB895Lrv/AJgtTe8YeAIx 4Cm1Dw/e6jPay7b42ks25SpXJbkZLYx1NZRqWl7yEmY3wc19Le4udAl+VJf31vnH3gMMPxAB/A1d aC0aCSPYq5yQoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAo AKAPD/iFpd3oPimF7F/MXUZpJoYyBkSuQHH0JI/OumnKPI00Wtih411q2h1GPT9N2zPC2bu4HPnS 4UHHZR8vQUoU+r6gkU4tVnNjqltf2dyZ7uMCzRF2LGGO7JXqQQT/AFqlBJpphY5uS3ETsiyo+1Vc 7WPOQMgcds/n3ra76DNnwppy6jq6RHUks5vNRYMKzyMzEjKBe468+1ROegNntWteA/E1zp93b/29 Fq0MowsGoQ4KnH3lccqQemPxrmVSPa3oTdHAWd8fDuop4d8SvrKXELFSba9YRpDt+XaqjnnjjtWs rSd4WG/I4WG4u9G1e3v4FMNyjrKgIbg5Pr1HOPetrKSsPc+m9NvY9S0y2vYiCk8SyDBz1GcVwGZa oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAPPvixp95P oMV9aIri33LKPKDMFbHzKeowQOnr7VrRavZjieFxSssyScNhgzbwWDe5/wA811LayLOtuJ7a+aLU LDQbEizgM10kcssibWO0BkZsgqeeDjn0rK1tG/T1Ecwynh4wVDMwJUdMAH8sEVvdN2KJrCW/tbu0 vLNxb3CyDyZuFG4H1PHuTUte60LoeyyfF3V9O0VxdaTFd3EQCPqFo++2DFQVORkZ5GRmuX2SbVmT Y8+1LxVdeJNZ0u71cWzvbLteXy3jEg7h/LOeDkcAVvGCinYqxka9qr3062nnRy2lu7m3Ee4rGpxk KzjcV9M1VOKtdrUEes/CPW0vfDj6U7kz2LcZ7xscj8jkflXPXjyy0JktT0OsSQoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAa6JLG0cih0YYZWGQR6UAfP2va Ja+FfHX2a4mkisivmxyeSsu1CDjKtwwByPwrsjNzh5otO6KH2PTJI9Rlt9XtoliiOyPbKjT5P8AP rnBBP50ve0TQG18Mo9YufE72tnJZwPeWzPvvYPMV0U4+Udzn+RpVeW2vQGdT8SNBns9AQ6xrenCR WMlrbW2niNpG6EAg9O5z6VNGXve6hJ66FbVdA1XQvhbppn1gnRZmgkuLeG1QOiv8+dx5Yhto/wD1 UKSlPzDdmbp/wvufENre6jos1xHZKmLR7vAe8YfeIA+6pxxn1+tP23L7skO/c4sW6alf29pstdL2 xENLK7BCRnJOckE4P41trFO2ozS8BawvhzxfbzXEjrby5imIz0PAJz2BwfpU1I80dAa0PowHIyK4 jMKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDjPiP4U /wCEk0LzoAPtlmDInHMi4yU/TitKcuV67DTPIrjwXPB4Di8RSPtWSbaY2fJdDjayge5bg+lb865n F7FX1sdhpBbUF8Gra+KVWRHaAItvGr2ZCc84yw7c8fjWbSSlp/VxFD4hao9nr/2dtav7/UbVXhZr m3iWMI68lcdchjziqpRUlsNFf/hNrO+i0PStaM97pOnuNxiBTzotqgBlzyVI656VSptXlHdhY900 Xxb4e1DQ5LrSp0NvaQF2t41CvGijps7dK5ZQlF2kS0eV+Dr7wP4outYs9Z0+GC71K7ee3klwGCN0 VX/hYHJx3zWslJJNMbueZ68bYa/dCzluJYEkISS5I8w49cE10x2VykfRnha+bUvC2mXb53SW6ls+ oGD/ACrhkrNozZr0gCgAoAfHE0uQoyR2oADDKDgxt+VADKACgAoAKACgAoAKACgAoAKACgBkjMAN oPvigBpkYHG0gDqaADeyqmRknr7UAPTJQFupoAdQAUAFABQAUAFABQAUAFABQB4l8Qp49N/4lOk3 Eq2cIWGa2djiNwS6sv1yRn2rqpK+r/roWjzmOOSab5Tudm2jJ4J+vbrn61taybKNi1gi/dadFp8n 9tNegb5TuVlOAEK/Xmp2baegjrfEHg3WdNvNOvddi0pJby62lll8oHCjAY42quF7etZxqR1UdhX7 GnpHw8l8WeHbnxKl1FDdXEcxWzs4REu8DCgEHAyc545zWcqnL7nQV7aFDQvBGjx/2XqGpGa50+8P 2a6ZCUezus4CsP7vIHPrWkqkru2/6DbM/wCJ/gi28G6paNYzO9teh2SJ1/1YUjjOeeGp0ajl8gi7 nrHgOMxeBdHVhg/ZwcfXn+tc0/iZLOiqRBQA5WxwRlT2oAsR3EcCfulJc9S1KwDDdzk58wj6UAQU wCgAoAKACgAoAKACgAoAKACgBkj7ACBnJ6CgBguBjlSKAHGYDqDQA8HIBHQ0ALQAUAFABQAUAFAB QAUAFABQBg6v4N0LXL6O9vrFHuFxlwdu8DoGx1qozlHYd7Hknj7RoPCvi60mtraKezkQSR2s2Sgw TuXrnHOfxrppNzVupS1Mq1s9T8T/AGq40u0htobDdcERERLGp9CeSeOOe1NuMbX1Hsei+C/C/hy4 8KC78S6hp739wheN5bsEwo6jbkFuCM5rGdSSlaJLZq+CPEieHr618J3l3oklosLNFeWVyCNwPR8n G48+lTOPMnNA+5o6xc2vhTxNFr1jdwPpt/KsWpWyyAhWPCzKM9fWpV5Ll7C3PH/ijrFzqnju9ia7 E9tbOUt03ZVBxnGPU/yrpoxslbqVFHt/huA23hjS4SMFLWMY/wCAiuV7kGpSAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKAE2j0FABtU9QPyoAWgAoAKACgAoAKACgAoAKACgAoAKAPPvizo1ldeH DqszSrc2fyxbOQ24gYb2rWjJqWg47mFZN4OTwkkmr+GLnT7qazPk3TI7wysFOCCOhJ5wap83NZO4 9TU+D+leH9V0S8fULGzlmSdVTzwC33Bng+pyaKzknowlc9MPhDwzNGV/sWwZScnbCvX6iseeS1uK 7ON+IvhTwvpHgi+ltdMtLe8YKlsyr8xcsOB+ANXTnNySuNN3PnhF77cAkHAbv6V1fZbKPq+xwunW w4AESAfkK4TMsUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQA UAFABQAUAMmhiuIjFNGkkZ6q65B/CgCvqOnw6npNxps2RbzxmNgvGB7U07O6Aq3Hw78OarpUVu1l HHIgjU3SKFlfbjOcY+9g5+tNVJJjuRz+Br3TNVjuvCeqDSoWjKzwS7pkc54IDEgU/aXXvq4X7nK/ ECDU9Ksba48S69BOGkUQGC38t0ZSGJGOvQf5NEVd+6C8jkvDuhWvi+7lltYEKRSjzuoCqwQYHuMP WspygrDbseuW+mTwBFE5KoyYy5PyjZkfo/51zEmpTAKACgAoAKACgAoAKACgAoAKACgAoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgC3YTbJCh+636UmBX8U+ID4f0cXUUAuJ5Zkt4 Iy21Wkc4GW7D3pwjzMaPJviqvi3WtMtn1DQDaQadvlmljnWSKQNhR7j+fNb0eVS0Y1Y6P4Z6bbaX 4XEcN7bXUtw/2mRoScruAADA9CAuKiq25NsT3OzrMQUAFABQAUAFABQAUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBLbyLFKGYZUjBpAc9rGn32t65FayOYNAtm juNqMN9xKpyB6hRj8f5WmkvMZd8Y6vZJ4Yvo9QVvs08Rh2R8yOWGAF/2s9KUE3JWBHPfDzwu3h7R WmuU23t5teROnlqB8q49eST7mqnLmemwNnYVAgoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAJABJOAO9AHNX/AI00+G5ay0xJNVvx/wAsLT5g P95+iiqUHux2ItO0C+1LUItY8RsrTxPvtbJDmO29D/tP705SSXLEDqqgQUAFABQAUAFABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAGTr2q3ulWscljpE+pSyPt 8uJgu33JwcCmknuwOTl0bxb4nkMup6oujWrxsotbYliO3zHjPHfP4VopQjsrjukW7L4fWa2ZttU1 jUNRhUnZE8xVEB9gefzpe01ukFzqdL0vT9KtfI0+2jgj77RyT6k9SahycndiL1IAoAKACgAoAKAC gByvtGMA/UUANoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgC MRpyeufegBREhzgdfegBQFXp3oAdQAUAFABQAUAFABQAUAf/2Q== datasetEPSG6.12(9.2.0)